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Free Download Growing Mushrooms for Healing and Transformation Published: 12/2024 Created by: Alex Field MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 52 Lectures ( 2h 42m ) | Size: 3.36 GB Your Step-By-Step Beginner's Guide to Growing Powerful Mushroom Medicine in Small Spaces at Home What you'll learn Grow powerful mushroom medicine at home - in under 10 weeks from start to finish Master the basics to get growing quickly, affordably and discreetly Learn easy methods for low-tech and bulk cultivation in small spaces Harvest and process mushrooms for maximum potency Avoid common pitfalls with hard-won knowledge and growing hacks Requirements No experience necessary. I'll give you all the knowledge you need to harvest your first bumper crops on a small budget You will need access to a small space for growing indoors, and to be able to buy a 'liquid culture' or 'spore syringe' for the type of mushroom you want to grow (available in most countries) Description Do you want to grow mushrooms quickly, cheaply and discreetly? Are you overwhelmed by the conflicting information on the internet? Are you tired of failed grows, or do you not know where to start? What if I told you that you can easily grow a LOT of high-quality transformative mushrooms in a very small space... - With under $200 / £150 spent on kit... - Sometimes when you're off on holiday... - Even if you can't currently keep a house plant alive?!LET ME SHOW YOU HOW!On this course you will learn how to grow mushrooms easily in closed environments (mostly plastic tubs) which you can leave on your bookshelf or hide under your bed. I'll be there to walk you through the step by step growing, harvesting and drying procedure for bumper mushroom crops, with tips and tricks to make your grows as easy as possible. The growing sections are accompanied by step-by-step PDF files to help keep you on track. This course has everything you need to get growing fast!Join me, a bestselling Udemy instructor who has spent years learning what works (and what doesn't) when growing mushrooms in small spaces at home.On this course we will explore:What mushrooms need and how to give it to them at every stageAll the equipment you will need to get growingLow-tech methods for growing small quantities of mushroomsBulk cultivation methods for growing a lot of mushrooms in a very small spaceHarvesting, drying and 'flushing' methods to grow the most mushrooms possiblePreparation methods for grain spawn, if you're keen on self-sufficiency in bulk cultivationI also want you to benefit from my mistakes, so I'm sharing the common problems growers face and tips on how to avoid or resolve them.BEFORE YOU BUY: Make sure you can buy spore syringes or liquid cultures for the mushrooms you want to grow. Who this course is for Beginner growers looking to cultivate mushrooms for mental health, healing and personal growth People looking to grow using low-tech or bulk methods in small spaces at home Homepage: https://www.udemy.com/course/growing-mushrooms-for-healing-and-transformation/ DOWNLOAD NOW: Growing Mushrooms for Healing and Transformation Download ( Rapidgator ) https://rg.to/file/2a73e1efa4b3a479f7a86d1775d0990c/vgobm.Growing.Mushrooms.for.Healing.and.Transformation.part1.rar.html https://rg.to/file/55a79077b5f9130022e2013c9e7feaf7/vgobm.Growing.Mushrooms.for.Healing.and.Transformation.part3.rar.html https://rg.to/file/8cdb216d8ccbcaa7a1c850fc3690dad5/vgobm.Growing.Mushrooms.for.Healing.and.Transformation.part2.rar.html https://rg.to/file/a27686fdf28a658a178d381e23908f84/vgobm.Growing.Mushrooms.for.Healing.and.Transformation.part4.rar.html Fikper https://fikper.com/CJKVYRNgSb/vgobm.Growing.Mushrooms.for.Healing.and.Transformation.part4.rar.html https://fikper.com/kxGvTzRn4w/vgobm.Growing.Mushrooms.for.Healing.and.Transformation.part2.rar.html https://fikper.com/lYL6Qz19kj/vgobm.Growing.Mushrooms.for.Healing.and.Transformation.part3.rar.html https://fikper.com/sTlRgVsVKp/vgobm.Growing.Mushrooms.for.Healing.and.Transformation.part1.rar.html No Password - Links are Interchangeable

Free Download Greek Cuisine for Kids (1 to 99 years old) Published: 12/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 2h 0m | Size: 2.52 GB Cooking healthy for a busy lifestyle What you'll learn Cook Greek dishes Adapt Greek cuisine for kids Hide vegetables in dishes Make healthy options appealing Requirements No previous experience needed. You will learn to cook healthy for you and your kids. Description Learn how to cook the basics of Greek cuisine with a twist: all recipes aim to offer delicious and healthy options! Do you want to get your kids to eat more veggies? Do you want to take better care of yourself without feeling you are punishing yourself? Are you looking to impress your friends, partner or date with your cooking skills? Are you fed up with the same dishes and looking to renew the family menu? This course will offer fun quick ways to achieve all of the above.No cooking experience needed, as all recipes are shown step by step/ We will learn to make three different kinds of bread, two salads, a fruit salad, meatballs, zucchini balls, two phyllo pastry pies, and three kinds of soups.I have aimed to share vegetarian recipes too, as Greek cuisine often offers vegetarian dishes and both adults and kids love them. If you are vegetarian, please opt for these recipes. They are clearly labeled in the course outline.All recipes have been used by my family for generations and they have been passed on to me by my mother and grandmother. I am sharing the adapted versions that I cook for my kids, as they are healthier and quicker to make. You don't have to spend ages in the kitchen to enjoy a yummy nutritious meal! I hope you enjoy the course! Who this course is for Parents. + Anyone interested in Greek Cuisine. For busy people who want to eat healthy. Homepage: https://www.udemy.com/course/greek-cuisine-for-kids-1-to-99-years-old/ DOWNLOAD NOW: Greek Cuisine for Kids (1 to 99 years old) Download ( Rapidgator ) https://rg.to/file/30efe0af1c7d595968d2eb68dee2a629/abxsr.Greek.Cuisine.for.Kids.1.to.99.years.old.part3.rar.html https://rg.to/file/73d7380b30d85efc6430badd25ee0dcd/abxsr.Greek.Cuisine.for.Kids.1.to.99.years.old.part1.rar.html https://rg.to/file/c85c9101c6375150e6b582006f97b591/abxsr.Greek.Cuisine.for.Kids.1.to.99.years.old.part2.rar.html Fikper https://fikper.com/lMHdvaCNjs/abxsr.Greek.Cuisine.for.Kids.1.to.99.years.old.part2.rar.html https://fikper.com/slNXpSTjGe/abxsr.Greek.Cuisine.for.Kids.1.to.99.years.old.part3.rar.html https://fikper.com/y7s4hWT6bT/abxsr.Greek.Cuisine.for.Kids.1.to.99.years.old.part1.rar.html No Password - Links are Interchangeable

Free Download Google Ads Hidden Gems - Your Ultimate Google Ads Blueprint Published: 12/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 5.05 GB | Duration: 8h 37m Discover Google Ads Hidden Gems: Campaign Creations, Keyword Research, Display, Video, Performance Max, Rules, Scripts What you'll learn Show Your Ads On Two Of The Biggest Search Engines In The World - Google & Youtube Learn How To Do In-Depth Campaign Optimisations In Google Ads Use Google Gemini AI to Setup And Manage Google Ads Campaigns Target Different Types Of Audiences, Demographics, Content To Reach Your Customers Get Hands On Experience Of How To Use Automation In Google Ads Bring Sales, Leads & Website Traffic To Your Online Business Learn To Create Search Campaigns, Display Campaigns, Shopping Campaigns, Youtube Campaigns, Mobile Campaigns, Demand Gen Campaigns, Smart Campaigns Build Remarketing Campaigns To Follow Users On The Internet Get In-Depth Knowledge Of Google Ads To Grow Your Online Business Setup Conversion Tracking To Boost Sales Of Your Online Business Requirements There Is NO Course Requirement Needed For Google Ads Anyone With A Laptop, Personal Computer, Tablet Or Smartphone & Internet Connection Can Learn Google Ads Anybody Who Has A Website, Blog, Facebook Page Can Use Google Ads To Promote Their Business Description Hi Guys,Welcome to my course Google Ads Hidden Gems: Your Ultimate Google Ads Blueprint! In my course you will learn everything about Google Ads Hidden Gems. I have created video lessons on every campaign and every feature of Google Ads. You will get to see the real practical implementation of how to create each and every campaign and how to use every feature of this product.This is the most detailed course on Google Ads Hidden Gems you will ever find on the internet. I have created different sections based on different topics of Google Ads and in each section, I have gone in-depth into explaining the concept of each feature and how to practically implement it in Google Ads.This course will give you a 100% understanding of Google Ads Hidden Gems and after going through this course you will be capable of applying these concepts in building your own online business or handling Google Ads accounts of your clients. At such a low price, you're going to get 110 detailed video lessons, 22 assignments, 20 Practice Questions & 1 Quiz. A complete access to our student discussion forum, and the ability to ask me any questions you may have as you progress through the course.On top of all that, you get lifetime access and a 30-day, 100% money back guarantee!Topics you will learn in this course:- Google Ads Basics, Ad Auction, Google Network, Google Ads Account Structure, Search Campaign Creation- Keyword Research Hidden Gems, Keyword Selection, Google Ads Keyword Planner, Negative Keywords, Search Terms- Ads Hidden Gems - RSA, DSA, RDA, Call Ad- Ad Extensions Hidden Gems - Sitelink, Call, Callout, Structured Snippet, Price, Promo, Lead Form, Location, App, Business Name & Business Logo- Keyword Insertion, Countdown, Location Insertion- Bidding Hidden Gems - Bidding Strategy Overview, Manual CPC, Maximize Clicks, Maximize Conversions, Maximize Conversion Value, Target CPA, Target ROAS, Target Impression Share, eCPC, CPM, CPV- Display Network Hidden Gems - Display Network Overview, Affinity, In-Market, Demographics, Detailed Demographics, Life Events, Remarketing, Topic, Placement, Display Keywords, Custom Audiences, Combined Audiences, Standard Display Campaign Creation- Conversion Tracking Hidden Gems - CT Overview, Website, Phone, App, Import, Attribution- Remarketing Hidden Gems - Overview, Audience Manager, Remarketing Campaign Creation, App Users, Youtube Remarketing, Customer List, Custom Combinations, Google Analytics, Lead Form Segment- Video Ads Hidden Gems - Instream Ad Campaign, In-Feed Ad Campaign, Bumper Ad Campaign, 15 Sec non-skippable Ad Campaign, Ad Sequence Campaign, Target Frequency Campaign, Audio Ads Campaign- Shopping Ads Hidden Gems - Google Merchant Center Creation, Shopping Ad Campaign Creation- Performance Max Campaign Hidden Gems- Demand Gen Campaign Hidden Gems- Universal App Campaign Hidden Gems- Smart Campaign Hidden Gems- Reports - Predefined Reports, Saved Reports, Dashboards- Shared Library Hidden Gems - Audience Manager, Brand Lists, Location Groups, Exclusion Lists, Asset Library- Bulk Action Hidden Gems - Rules, Scripts, Solutions- Budgets & Bidding Hidden Gems - Bid Strategies, Shared Budgets, Adjustments- Planning Tools Hidden Gems - Keyword Planner, Reach Planner, Performance Planner, App Advertising Hub- More Tools Hidden Gems - Ad Customizer, Page Feed, Dynamic Ad Feed, Hotel Properties Feed, Google Tag, Content Suitability, Ad Preview & Diagnosis Tool, Policy Manager, Admin- Drafts & Experiments Hidden Gems- Billing - Summary, Documents, Transactions, Settings, Promotions- Google Ads Editor- Manager Accounts/My Client Center- Google Ads with Google GEMINI AI- Google Ads Resources - Google Ads Helpcenter, Google Ads Policy Helpcenter, Google Ads Blog, Search Engine Land- Google Ads Certification - Search, Display, Video, Shopping, Measurement, App Thank you so much for checking out my course. I look forward to seeing you in the course. So wait no more!Click on the 'Buy now' button and join my course today!! Also check out my other courses!! Overview Section 1: Google Ads Basics Lecture 1 Google Ads Overview, Where Google Ads Appear, Google Ads Account Setup. Lecture 2 Google Ads Auction, Google Network, Ad Rank, Quality Score Lecture 3 Google Ads Account Structure, Google Ads Metrics, Google Ads Account Navigation Lecture 4 SEARCH CAMPAIGN CREATION Section 2: Keyword Research Hidden Gems Lecture 5 Keywords Research, Keyword Selection, Keyword Planner Tool Lecture 6 Keyword Match Types Lecture 7 Negative Keywords, Negative Keyword Lists Lecture 8 Search Terms Section 3: Ads & Extensions Hidden Gems Lecture 9 Google Ads Formats Overview Lecture 10 Responsive Search Ad Lecture 11 Dynamic Search Ad Lecture 12 Responsive Display Ad Lecture 13 Call Ad Lecture 14 Google Ads Extensions Overview Lecture 15 Sitelink Extensions Lecture 16 Call Extensions Lecture 17 Callout Extensions Lecture 18 Location Extensions Lecture 19 Structured Snippet Extensions Lecture 20 Price Extensions Lecture 21 Promo Extensions Lecture 22 Lead Form Extensions Lecture 23 App Extensions Lecture 24 Business Name & Logo Lecture 25 Keyword Insertion Lecture 26 Countdown Lecture 27 Location Insertion Section 4: Bidding Strategies Hidden Gems Lecture 28 Bidding Strategy Overview Lecture 29 Manual CPC Lecture 30 Maximize Clicks Lecture 31 Maximize Conversions Lecture 32 Maximize Conversion Value Lecture 33 Target Impression Share Lecture 34 Target CPA Lecture 35 Target ROAS Lecture 36 Enhanced CPC Lecture 37 CPM Bidding Lecture 38 CPV Bidding Section 5: Display Network Hidden Gems Lecture 39 Display Network Overview Lecture 40 Display Targeting - Affinity Lecture 41 Display Targeting - Demographics Lecture 42 Display Targeting - Detailed Demographics Lecture 43 Display Targeting - In-Market Lecture 44 Display Targeting - Life Events Lecture 45 Display Targeting - Topic Lecture 46 Display Targeting - Placement Lecture 47 Display Targeting - Keywords Lecture 48 Display Targeting - Custom Audiences Lecture 49 Display Targeting - Combined Audiences Lecture 50 STANDARD DISPLAY CAMPAIGN CREATION Section 6: Conversion Tracking Hidden Gems Lecture 51 What is Conversion Tracking & How to setup Conversion Tracking Lecture 52 Website Conversion Tracking Lecture 53 App Conversion Tracking Lecture 54 Phone Call Conversions Lecture 55 Import - Google Analytics Lecture 56 Measurement - Attribution Section 7: Remarketing Hidden Gems Lecture 57 Remarketing Overview Lecture 58 Audience Manager Lecture 59 REMARKETING CAMPAIGN CREATION Lecture 60 App Users Lecture 61 Youtube Remarketing Lecture 62 Customer List Lecture 63 Custom Combinations Lecture 64 Google Analytics Lecture 65 Lead Form Segment Section 8: YouTube Ads Hidden Gems Lecture 66 YouTube Overview Lecture 67 YOUTUBE INSTREAM AD CAMPAIGN CREATION Lecture 68 VIDEO DISCOVERY AD CAMPAIGN CREATION Lecture 69 BUMPER AD CAMPAIGN CREATION Lecture 70 15 SEC NON-SKIPPABLE AD CAMPAIGN CREATION Lecture 71 AD SEQUENCE CAMPAIGN CREATION Lecture 72 TARGET FREQUENCY CAMPAIGN CREATION Lecture 73 AUDIO ADS CAMPAIGN CREATION Section 9: Shopping Ads Hidden Gems Lecture 74 Shopping Ads Overview, Google Merchant Center Account Lecture 75 Google For Retail Account Creation Lecture 76 SHOPPING ADS CAMPAIGN CREATION Section 10: Performance Max Campaign Hidden Gems Lecture 77 Performance Max Campaign Creation Section 11: Universal App Campaign Hidden Gems Lecture 78 Universal App Campaign Creation Section 12: Smart Campaign Hidden Gems Lecture 79 SMART CAMPAIGN CREATION Section 13: Demand Gen Campaign Hidden Gems Lecture 80 Demand Gen Campaign Creation Section 14: Introduction to Reports Lecture 81 Predefined Reports, Saved Reports, Dashboards Section 15: Shared Library Hidden Gems Lecture 82 Audience Manager Lecture 83 Location Groups Lecture 84 Exclusion Lists Lecture 85 Asset Library Lecture 86 Brand Lists Section 16: Introduction to Bulk Actions Lecture 87 Rules Lecture 88 Scripts Lecture 89 Solutions Section 17: Budgets & Bidding Hidden Gems Lecture 90 Shared Budgets Lecture 91 Bid Strategies Lecture 92 Adjustments Section 18: Planning Tools Hidden Gems Lecture 93 Keyword Planner Tool Lecture 94 Performance Planner Lecture 95 Reach Planner Lecture 96 App Advertising Hub Section 19: More Tools Hidden Gems Lecture 97 Google Tag Lecture 98 Content Suitability Lecture 99 Business Data - Ad Customizers Lecture 100 Business Data - Page Feed Lecture 101 Business Data - Dynamic Ad Feed Lecture 102 Business Data - Hotel Properties Feed Lecture 103 Policy Manager, Access & Security, Linked Accounts, Preferences Lecture 104 Ad Preview And Diagnosis Tool Section 20: Google Ads with Google Gemini AI Hidden Gems Lecture 105 Google Ads + Google Gemini AI Section 21: Drafts & Experiments Lecture 106 Drafts & Experiments Section 22: Introduction to Billing Lecture 107 Summary, Documents, Transactions, Settings, Promotions Section 23: Introduction to Google Ads Editor Lecture 108 Google Ads Editor - Practical Implementation Section 24: Introduction to Manager Accounts Lecture 109 Manager Accounts/My Client Center Overview Section 25: Google Ads Online Resources Lecture 110 Google Ads HelpCenter, Policy HelpCenter, Google Ads Blog, Search Engine Land Section 26: Google Ads Practice Tests Section 27: Google Ads Certifications Lecture 111 Google Ads Skillshop Certification Section 28: Thank You For Taking Course! Lecture 112 Thank You! Entrepreneurs Who Are Starting Their New Business,Young Professionals Who Are Entering Into The Field Of Digital Marketing,Professionals Who Are Working In The Field Of PPC & Want To Upskill Their Knowledge About Google Ads,Existing Business Who Want To Try Google Ads To Check How It Helps To Boost Sales Homepage: https://www.udemy.com/course/google-ads-hidden-gems-your-ultimate-google-ads-blueprint/ DOWNLOAD NOW: Google Ads Hidden Gems - Your Ultimate Google Ads Blueprint Download ( Rapidgator ) https://rg.to/file/396bb5db99b8e28e7a1e5519ad9a1f4e/ohuty.Google.Ads.Hidden.Gems..Your.Ultimate.Google.Ads.Blueprint.part3.rar.html https://rg.to/file/3c18967227788ab934c3b44c4a2a4ab6/ohuty.Google.Ads.Hidden.Gems..Your.Ultimate.Google.Ads.Blueprint.part4.rar.html https://rg.to/file/528cbfb0a33fb34b0d762795cbee54b7/ohuty.Google.Ads.Hidden.Gems..Your.Ultimate.Google.Ads.Blueprint.part1.rar.html https://rg.to/file/94804d112e8a71263e84f6af507208dd/ohuty.Google.Ads.Hidden.Gems..Your.Ultimate.Google.Ads.Blueprint.part6.rar.html https://rg.to/file/a7f19983c6fea3f62cd517103e1a6925/ohuty.Google.Ads.Hidden.Gems..Your.Ultimate.Google.Ads.Blueprint.part5.rar.html https://rg.to/file/c4a78d2bca9899462cc68ccb3ac35191/ohuty.Google.Ads.Hidden.Gems..Your.Ultimate.Google.Ads.Blueprint.part2.rar.html Fikper https://fikper.com/7k7U5Hr7qy/ohuty.Google.Ads.Hidden.Gems..Your.Ultimate.Google.Ads.Blueprint.part2.rar.html https://fikper.com/8qHIWBGO5A/ohuty.Google.Ads.Hidden.Gems..Your.Ultimate.Google.Ads.Blueprint.part5.rar.html https://fikper.com/OwrrAYesNQ/ohuty.Google.Ads.Hidden.Gems..Your.Ultimate.Google.Ads.Blueprint.part4.rar.html https://fikper.com/P2LagPMzfC/ohuty.Google.Ads.Hidden.Gems..Your.Ultimate.Google.Ads.Blueprint.part3.rar.html https://fikper.com/az60WXEF1R/ohuty.Google.Ads.Hidden.Gems..Your.Ultimate.Google.Ads.Blueprint.part1.rar.html https://fikper.com/v6kQhhvsd3/ohuty.Google.Ads.Hidden.Gems..Your.Ultimate.Google.Ads.Blueprint.part6.rar.html No Password - Links are Interchangeable

Free Download Get My Official French DELF B2 Certificate + PDF Cheat Sheet Last updated: 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 4h 9m | Size: 1.74 GB French B2 speaking hacked (Native Teacher) Learn French pronunciation Secrets | French Language Course for Delf B2 Exam What you'll learn Certificate of Completion Included Use 200+ intermediate French words. (100 Words and their Synonyms) Speak French with confidence. Use 100 French expressions, phrases, synonyms, phonetics, idioms, etymologies, and how to use them in real life. (with photos) You will break your French Language Barrier. You will be ready to Immigrate, Study or Work in France, Canada, or Africa by getting your French Language Test: TEF, TCF QUEBEC, and DELF up to Level B2. Get Certificate of Completion at the end of that French course. Use French memory Tips + French grammar and French pronunciation hacks. Have a Lifetime Unlimited Access to the whole French course and Updates. Add context to the French Vocabulary and never forget it. Have an unlimited access to Our Private French Learning Facebook Group Requirements A computer, a tablet, or a phone with speakers or headphones. Students with lower-intermediate to advanced level in French Description This French Language Course includes the "Advanced Cheat Sheet to get My French DELF B2 by Christophe Daniel Ternay" PDF file. (For the French Intermediate Level (B2) Official Exam called "DELF B2") and it is the only French DELF B2 Level Cheat Sheet on the web! SAVE TIME! In only 3,5 hours I can guarantee you that you will get your Delf B2 Exam at the first Strike!I believe learning is best done when it's enjoyable. And I know people learn in different ways.That's why I am providing multiple ways to learn French and successfully handle with hundreds of Everyday Phrases and Expressions .WATCH:Watch this French Language Course online, on your mobile (Udemy mobile app), on a Tablet (the course is fully responsive), on any computer or anywhere else.JOIN THE COMMUNITY:Join the Private Facebook group "SpeedyFrench" to ask questions and get feedback from me or the other members of the group who learn French.LISTEN and REPEATListen to the Audio Version of this course (MP3), present in every section, to learn French on the go (in a car, in a bus, in your bed,...)READ and WRITEDownload the PDFs present in every section and take some notes so as to build your own French sentences.Read the FRENCH DELF B2 CHEAT SHEET included in this Course.Take the QUIZZESAt the end of the day, I just want to help you succeed. I hope that by providing all of these additional resources, you can learn French in a Fun and High-Quality way.This French course includes the "Advanced Cheat Cheat to get My French DELF B2 by Christophe Daniel Ternay" PDF file. (For the French Intermediate Level (B2) Official Exam called "DELF B2")Important Notice: This course is presented in English AND French. At the beginning, more English is used, so that you can learn step by step.What Students say about my Online Courses: I am only 1/4 of the way through however, what I like about the instructor is his engaging online presence and his approach to learning including little hacks for remembering words. I get the impression he is sincerely dedicated to teaching the French language in a way that it can be immediately useful to anyone wanting to learn and/or improve. (Patricia Russel) ★★★★★The way the instructor teaches helps the retention of all the new vocabulary. I have memorised many different phrases and I can remember what they mean, which will help me to form more sentences in different situations and tenses. Above all it has helped my pronunciation greatly. (Joy Thornton) ★★★★★Learning French through his courses, explanations and excercises are a great opportunity to be well motivated for further improvement. (Mine Durmaz) ★★★★★About the Author:He is French and fluent in English, German and Spanish.He is a graduate teacher in "Teaching French for foreigners". (From the French Alliance)He is teaching French since 2015 to students from all over the world thanks to offline and online courses in Peru.That's why he knows how important it is to know exactly how to pronounce French words.How important French vocabulary is to be able to make you understand.And how important it is to quickly understand and decrypt French words in common sentences ...... So he developed this comprehensive approach to learn French B2 level based on his learning of 4 languages, the challenges faced by his Peruvian Students, his Worldwide Online courses (900 + hours) and what he studied informally: Neuroscience.What includes the course: This French Language Course includes more than 100 HD photographies so your Brain can easily link the new words with a clear image.Learn French with Quizzes: I highly recommend you to take the French Language Quizzes because it is the best way to improve quickly. This French Language Course includes Pdf Flashcards that will also be very useful to take some notes during the course. This French course includes the complete Audio Version of the whole French B2 course to use it on the go.What it is NOT Specialized in: Grammar lessons and exercices (this course contains only little chunks of grammar that will help you build your own B2 LEVEL sentences quickly)This French Language Course comes with a full 30 day money-back guarantee. Meaning if you are not completely satisfied with the course or your progress, simply let me know and I'll refund you 100%, every last penny no questions asked.You literally can't lose.Ready to get started French learner?Enroll now using the "Enroll Now" button on the right, and get started on your way the French World. Or, take this course for a free spin using the preview feature, so you know you're 100% certain this course is for you.See you on the inside (hurry, class is waiting!)CheersChris---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- French Version----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Je pense qu'il vaut mieux apprendre le français en y prenant du plaisir. Et il faut noter aussi que les gens apprennent de différentes manières.C'est pourquoi je propose plusieurs façons d'apprendre le français et d'assimiler facilement des centaines de phrases et d'expressions de tous les jours.REGARDEZ:Regardez ce cours de français en ligne, sur votre téléphone portable (application mobile Udemy), sur une tablette (le cours est entièrement adapté sur mobile) ou sur n'importe quel ordinateur.REJOIGNEZ LA COMMUNAUTÉ:Rejoignez le groupe privé Facebook "SpeedyFrench" pour poser des questions et obtenir des commentaires de moi ou des autres élèves de français.ÉCOUTEZ ET RÉPÉTEZÉcoutez la version audio de ce cours (MP3), présente dans chaque section, pour apprendre le français depuis n'importe où (dans une voiture, dans un bus, dans votre lit, ...)LIRE ET ÉCRIRETéléchargez les PDF présents dans chaque section et prenez des notes afin de construire vos propres phrases en français.Lisez et étudiez la "feuille de triche" (en anglais) intitulée: "Advanced Cheat Cheat to get your DELF B2" par Christophe Daniel Ternay" pour vous préparer à l'examen officiel de niveau intermédiaire français B2 appelé "DELF B2"N'oubliez pas les QUIZZ, ils vont vous aider à mieux retenir les mots et expressions françaises.En fin de compte, je veux juste vous aider à réussir. J'espère qu'en fournissant toutes ces ressources supplémentaires, vous pourrez apprendre le français de manière amusante et qualitative.Avis important: Ce cours est présenté en anglais ET en français. Au début, j'utilise davantage l'anglais pour que vous puissiez apprendre pas à pas.Ce que les étudiants disent de mes cours en ligne:Je ne suis cependant qu'à un quart du parcours, mais ce que j'aime chez l'instructeur, c'est sa présence en ligne attrayante et son approche de l'apprentissage, y compris des "petits trucs" pour se souvenir de mots. J'ai l'impression qu'il se consacre sincèrement à enseigner le français de manière à ce qu'il puisse être immédiatement utile à quiconque souhaite apprendre et / ou se perfectionner. (Patricia Russel) ★ ★ ★ ★ ★La façon dont l'instructeur enseigne aide à conserver tout le nouveau vocabulaire.J'ai mémorisé de nombreuses phrases différentes et je peux me souvenir de ce qu'elles signifient, ce qui m'aidera à former plus de phrases dans des situations et des temps différents. Surtout cela a beaucoup aidé ma prononciation. (Joy Thornton) ★ ★ ★ ★ ★Apprendre le français à travers ses cours, explications et exercices est une excellente occasion d'être bien motivé pour encore progresser. (Mine Durmaz) ★ ★ ★ ★ ★Qui est l'auteur?Il est français et parle couramment anglais, allemand et espagnol.Il est professeur diplômé par l'Alliance Française dans l'enseignement du français pour les étrangers.Il enseigne depuis 2015 à des étudiants partout dans le monde grâce aux cours en présentiel et en ligne...C'est pourquoi il sait exactement à quel point il est important de bien savoir prononcer les mots français.A quel point le vocabulaire français est important pour pouvoir vous faire comprendre.Et combien il est primordial de pouvoir rapidement comprendre et déchiffrer les mots français dans une phrase du quotidien.... Il a donc développé cette approche complète d'apprentissage du français de niveau B2 sur la base de son apprentissage des 4 langues, des défis rencontrés par ses étudiants au Pérou, des cours Online donnés dans le monde entier (plus de 900 heures) et sur ce qu'il a étudié de manière informelle: La Neuroscience.Ce que comprend le cours:Ce cours de français comprend plus de 100 photographies HD afin que votre cerveau puisse facilement associer les nouveaux mots à une image claire.Ce cours de français comprend des quizz que je vous recommande vivement de prendre car c'est le meilleur moyen de s'améliorer rapidement.Ce cours de français comprend des "cartes-mémoires" au format pdf qui seront également très utiles pour prendre des notes pendant le cours.Ce cours de français comprend la version audio complète de l'ensemble du cours de français B2 à utiliser lors de vos déplacements.Ce cours n'est PAS spécialisé dans:La grammaire et les exercices de grammaire (ce cours ne contient que quelques fragments de grammaire qui vous aideront à construire rapidement vos propres phrases en français de niveau B2)Ce cours de français est assorti d'une garantie de remboursement de 30 jours. Cela signifie que si vous n'êtes pas complètement satisfait du cours ou de vos progrès, faites-le-moi savoir et je vous rembourserai à 100%, sans poser de questions.Vous ne pouvez littéralement pas perdre.Prêt à commencer à apprendre le français?Inscrivez-vous maintenant en utilisant le bouton «Acheter dès maintenant» sur la droite et lancez-vous dans le monde du français. Ou, cliquez sur "afficher un aperçu de ce cours" (c'est gratuit), afin de savoir que vous êtes sûr à 100% que ce cours est fait pour vous.Rendez-vous à l'intérieur (faites vite, la classe attend!)Et prenez soin de vous !Chris Who this course is for Take that course if you want to LEARN FRENCH with a NATIVE SPEAKER Take that course if you want to UNDERSTAND SPOKEN FRENCH in the SHORTEST TIME POSSIBLE. Take this course if you want to GET YOUR FRENCH DELF B1 B2 CERTIFICATE, TEF CERTIFICATE, TCF CERTIFICATE Take that course if you want to LEARN FRENCH with a CERTIFIED FRENCH TEACHER Take this course if you want to IMMIGRATE TO A FRANCE OR CANADA Take that course if you want to STUDY in a French SCHOOL or UNIVERSITY Take this course if you want to WORK IN A FRENCH COMPANY Take this course if you are a pre-intermediate or intermediate French Learner, who wants to reach the advanced level of spoken and written French. Take that course if you want to learn French WITHOUT TRICKY GRAMMAR EXERCICES. 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Free Download Get Aws Ai Certified Handson,Quiz & Tests - Zero-To-Hero 2025 Published: 12/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 6.14 GB | Duration: 12h 50m Full Certification Prep with Practice Test curated with Amazon Team | Crack your First AWS AI Certification in one shot. What you'll learn Master the fundamentals of generative AI and its business applications Navigate the Amazon Bedrock console with confidence Pass the AWS Certified AI Practitioner Certification AIF-C01 Learn Prompt Engineering Learn the key AWS AI services, including a deep dive on Bedrock, Amazon Q and SageMaker Practice Exam with Explanations included! Master Amazon Q Developer setup and integration Create custom models with AI using simple text prompts Develop effective code generation skills using AI Optimize code performance with Amazon Q insights Improve collaborative development workflows Complete hands-on, real-world AI projects using Amazon Bedrock Requirements No AWS Cloud experience is necessary An AWS account Hands-On Learning: Hands-on labs and exercises are provided throughout the course to reinforce learning and allow you to practice what you've learned in a real-world environment. No IT pre-requisites is necessary No AI pre-requisites is necessary Enthusiasm to learn about AI and its practical applications From Basics to Details: We start from the fundamentals of AI/ GenAI/ AWS / Amazon Q, explaining core concepts and terminology in a clear and concise manner. Description "AWS AI Practitioner Certification: From Fundamentals to Certification Success"Course OverviewUnlock the power of artificial intelligence in cloud computing with this comprehensive, hands-on course designed to prepare you for the AWS AI Practitioner Certification. Whether you're a technology professional, developer, or aspiring cloud AI specialist, this course provides the knowledge, skills, and practical experience you need to excel.What you'll learnFoundational AI and Machine Learning ConceptsUnderstand core AI and machine learning principlesExplore the AWS AI/ML technology landscapeLearn how AI technologies integrate with cloud infrastructureGain insights into real-world AI applications and use casesAWS AI Services Deep DiveComprehensive coverage of key AWS AI services:Amazon Bedrock for GenAI ModelAmazon Q Business for BotsAmazon Q Developer for CodingAmazon SageMaker for machine learning model developmentAmazon Rekognition for image and video analysisAmazon Comprehend for natural language processingAmazon Translate and TranscribeAmazon Lex for conversational interfacesAmazon Polly for text-to-speech technologiesHands-On Practical Training30+ hands-on and real-world scenariosStep-by-step demonstrations of AI service configurationsPractical exercises simulating enterprise AI implementationsExam Preparation StrategiesDetailed exam blueprint breakdownComprehensive practice question bank (150+ questions)Multiple full-length mock examsWho Should EnrollCloud professionals looking to specialize in AIDevelopers interested in AI service implementationIT professionals seeking AWS certificationStudents and career changers in technologyAnyone wanting to understand AI's role in cloud computingEnroll now and transform your career with AWS AI expertise! Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Official AWS Mock Exam Section 2: Cloud Basics Lecture 3 Cloud Computing & its Benefits Lecture 4 Cloud Computing Models Lecture 5 AWS Infrastructure Lecture 6 Key Terminologies Lecture 7 AWS UI Tour Lecture 8 Setting a Budget Lecture 9 IAM Users and Roles Lecture 10 Root User vs IAM User Lecture 11 IAM Policy Lecture 12 AWS EC2 Lecture 13 AWS Lambda Lecture 14 AWS S3 Lecture 15 Amazon VPC Lecture 16 VPC through Real World Scenario Lecture 17 Amazon VPC HandsOn Lecture 18 Connect With Me!! Section 3: Concepts of AI & ML - Part 1 Lecture 19 What is AI? Lecture 20 AI, GenAI, ML, Deep Learning Relation Lecture 21 AI Lifecycle Lecture 22 What is Generative AI? Lecture 23 Opportunities available in GenAI Lecture 24 PartyRock - Experience GenAI with No Experience Lecture 25 Limitations of GenAI Lecture 26 GenAI Techniques & Models Lecture 27 FM vs LLM Lecture 28 Understanding NLP Section 4: Amazon Bedrock - With Detailed HandsOn Lecture 29 Introduction to Bedrock Lecture 30 Understanding UI Lecture 31 Enabling Model Access Lecture 32 Using Chat Playground Lecture 33 Using Text Playground Lecture 34 Using Image Playground Lecture 35 Inference Parameters Lecture 36 Temperature Hands-On Lecture 37 Top P Hands-On Lecture 38 Top K Hands-On Lecture 39 Most Probable Solution with Parameters Lecture 40 Additional Configurations Lecture 41 Fine-Tuning of Models Lecture 42 Understanding Safeguards Lecture 43 Guardrails SetUp Lecture 44 Using Guardrails Lecture 45 Understanding Builder Tools Lecture 46 Prompt Management Lecture 47 Building Knowledge Base - RAG Process Lecture 48 Crawling & Indexing Lecture 49 Embedding Lecture 50 Understanding RAG Lecture 51 Knowledge Base - Using Root User Lecture 52 Knowledge Base - Using IAM User Lecture 53 Understanding Agents Lecture 54 Agents Walkthrough Lecture 55 Creating Agents using Assistant Lecture 56 Understanding Prompt Flow Lecture 57 Understanding Bedrock Studio Lecture 58 Criteria for choosing right FM Lecture 59 Model Evaluation HandsOn Section 5: Prompt Engineering Lecture 60 Understanding Prompt Engineering Lecture 61 Prompt Elements & Techniques Lecture 62 Zero-Shot Technique + HandsOn Lecture 63 Few-Shot Technique + HandsOn Lecture 64 Chain-of-Thoughts Technique + HandsOn Lecture 65 Modifying Response with Prompts in Bedrock Lecture 66 Addressing Prompt Issues Lecture 67 Mitigating Bias Section 6: Amazon Q Business & Developer - with Detailed HandsOn Lecture 68 Understanding Q Lecture 69 Amazon Q UI tour Lecture 70 Understanding Q Business Lecture 71 Workflow of Amazon Q Business Lecture 72 IAM Organisation - For adding Users in Q Business Lecture 73 IAM Organisation Hands-On Lecture 74 IAM Identity Center Lecture 75 Enabling Identity Center - Option 1 Lecture 76 Enabling Identity Center - Option 2 Lecture 77 Adding Users in Identity Center Lecture 78 Enabling Users in Identity Center Lecture 79 Adding Permissions to Users Lecture 80 Q Business Hands-On Lecture 81 Adding Users in Q Business Hands-On Lecture 82 Understanding Subscription Lecture 83 What is Retriever? Lecture 84 Retriever Settings Hands-On Lecture 85 Understanding Data Sources Lecture 86 Data Source - Upload File Hands-On Lecture 87 Can we Restrict Information? Lecture 88 Blocking Words - Hands-On Lecture 89 Apps in Q Business Lecture 90 Building Apps Hands-On Lecture 91 Understanding Q Developer Lecture 92 Understanding Q Developer usage in Console Lecture 93 Chatting with Amazon Q Developer Lecture 94 Diagnosing with Amazon Q Developer Lecture 95 Creating a ticket with Amazon Q Developer Lecture 96 Can we ask general questions? Lecture 97 Can we ask for code directly in Lambda? Lecture 98 Understanding AWS Chatbot Lecture 99 Utilising AWS Chatbot Lecture 100 Using Amazon Q with Lambda & Bedrock Section 7: Basics Concepts of AI & ML - Part 2 Lecture 101 Understanding Machine Learning Lecture 102 Types of Data Lecture 103 Understanding ML Development Lifecycle Lecture 104 Learning Techniques Lecture 105 Supervised Learning Lecture 106 Examples of Supervised Learning Lecture 107 Unsupervised Learning Lecture 108 Reinforcement Learning Lecture 109 Human involvement in AI development - RLHF Lecture 110 HyperParameters Lecture 111 Model Evaluations Metrics Lecture 112 GenAI Model Performance Metrics Lecture 113 Deep Learning Lecture 114 Understanding MLOps Section 8: SageMaker - with Detailed HandsOn Lecture 115 Understanding SageMaker Lecture 116 SageMaker UI Tour Lecture 117 SageMaker Services Lecture 118 All about Data with SageMaker Lecture 119 Data Wrangler HandsOn Lecture 120 SageMaker Model Building Lecture 121 SageMaker Jupyter HandsOn Lecture 122 SageMaker AutoPilot HandsOn Lecture 123 SageMaker Canvas HandsOn Lecture 124 SageMaker JumpStart HandsOn Lecture 125 SageMaker Training Models Lecture 126 SageMaker Experiments HandsOn Lecture 127 SageMaker Deployment Lecture 128 SageMaker Endpoints HandsOn Lecture 129 SageMaker Monitoring Lecture 130 SageMaker Clarify HandsOn Lecture 131 SageMaker Governance Lecture 132 SageMaker Model Cards HandsOn Lecture 133 SageMaker Model Inference for Predictions Section 9: Other AI Major Services Lecture 134 Amazon Comprehend Lecture 135 Amazon OpenSearch Lecture 136 Amazon QuickSight Q Lecture 137 Amazon Translate Lecture 138 Amazon Transcribe Lecture 139 Amazon Polly Lecture 140 Amazon Lex Lecture 141 Amazon Rekognition Lecture 142 Amazon Forecast (Available in Sagemaker Canvas) Lecture 143 Amazon Personlize Lecture 144 Amazon Textract Lecture 145 Amazon Kendra Lecture 146 Amazon Augmented AI Lecture 147 AWS Fraud Detector Lecture 148 Amazon DeepRacer Lecture 149 Tranium & Inferentia Section 10: AI Responsibility, Compliance & Governance Lecture 150 Responsible AI Lecture 151 Troubleshooting Challenges in AI - Fit, Bias & Variance Lecture 152 Responsible Practices for Model Selections Lecture 153 GenAI Risks Lecture 154 Importance of Model Transparency Lecture 155 Tools for Model Transparency Lecture 156 Data Governance Lecture 157 Emerging AI Standards Lecture 158 AWS Artifact Lecture 159 AWS Audit Manager Lecture 160 AWS Glue DataBrew for Data Governance Lecture 161 AWS Lake Formation for Data Governance Lecture 162 Steps to implement AI Governance strategy Section 11: AWS AI Security Lecture 163 AWS Shared Responsibility Model Lecture 164 IAM Security Lecture 165 AWS CloudTrail Lecture 166 AWS KMS Lecture 167 AWS Macie Lecture 168 VPC Security with Endpoints Lecture 169 AWS Inspector Lecture 170 AWS Trusted Advisor Lecture 171 AWS Config Lecture 172 WAF & Shield Lecture 173 AWS X-Ray Lecture 174 AWS GuardDuty Lecture 175 AWS CloudWatch Lecture 176 Model Vulnerabilities Lecture 177 Version Control Section 12: Real Exam Scenario Based Questions Section 13: Additional content - Take AWS Retake by 2025 Lecture 178 Official AWS Retake till Feb 2025 Coupon Code Lecture 179 Official Curriculum with AWS Website Anyone wanting to acquire the knowledge to pass the AWS Certified AI Practitioner Certification,For Beginners: Individuals with little to no experience in AI/ GenAI/ AWS / Amazon Q. Fresh graduates or students looking to kickstart their careers in AI/ GenAI/ AWS / Amazon Q or software development.,Everyone can pick up this course, at their own pace.,For Intermediate Users: Professionals who have some familiarity with AI but want to deepen their understanding and skills. 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Free Download Generative AI with Heart Attack Prediction Kaggle Project Published: 12/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 23h 9m | Size: 8.48 GB Master in Data Science and Use Gen AI tools to predict heart attacks using Kaggle datasets and ChatGPT-4o's super power What you'll learn Kaggle, a subsidiary of Google LLC, is an online community of data scientists and machine learning practitioners. Kaggle is a platform where data scientists can compete in machine learning challenges. These challenges can be anything from predicting housing prices to detect Machine learning describes systems that make predictions using a model trained on real-world data. Machine learning isn't just useful for predictive texting or smartphone voice recognition. Machine learning is constantly being applied to new industries and ne Data science includes preparing, analyzing, and processing data. It draws from many scientific fields, and as a science, it progresses by creating new algorithm Data science application is an in-demand skill in many industries worldwide - including finance, transportation, education, manufacturing, human resources Data science uses algorithms to understand raw data. The main difference between data science and traditional data analysis is its focus on prediction. Data Scientists use machine learning to discover hidden patterns in large amounts of raw data to shed light on real problems. What is Kaggle? Registering on Kaggle and Member Login Procedures Getting to Know the Kaggle Homepage: Competitions on Kaggle Datasets on Kaggle Examining the Code Section in Kaggle What is Discussion on Kaggle? Courses in Kaggle Ranking Among Users on Kaggle Blog and Documentation Sections User Page Review on Kaggle Treasure in The Kaggle Publishing Notebooks on Kaggle What Should Be Done to Achieve Success in Kaggle? First Step to the Project Notebook Design to be Used in the Project Examining the Project Topic Recognizing Variables in Dataset Required Python Libraries Loading the Dataset Initial analysis on the dataset Examining Missing Values Examining Unique Values Separating variables (Numeric or Categorical) Examining Statistics of Variables Numeric Variables (Analysis with Distplot) Categoric Variables (Analysis with Pie Chart) Examining the Missing Data According to the Analysis Result Numeric Variables - Target Variable (Analysis with FacetGrid) Categoric Variables - Target Variable (Analysis with Count Plot) Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Feature Scaling with the Robust Scaler Method for New Visualization Creating a New DataFrame with the Melt() Function Numerical - Categorical Variables (Analysis with Swarm Plot) Numerical - Categorical Variables (Analysis with Box Plot) Relationships between variables (Analysis with Heatmap) Dropping Columns with Low Correlation Visualizing Outliers Dealing with Outliers Determining Distributions of Numeric Variables Transformation Operations on Unsymmetrical Data Applying One Hot Encoding Method to Categorical Variables Feature Scaling with the Robust Scaler Method for Machine Learning Algorithms Separating Data into Test and Training Set Logistic Regression Cross Validation for Logistic Regression Algorithm Roc Curve and Area Under Curve (AUC) for Logistic Regression Algorithm Hyperparameter Optimization (with GridSearchCV) for Logistic Regression Algorithm Decision Tree Algorithm Support Vector Machine Algorithm Random Forest Algorithm Hyperparameter Optimization (with GridSearchCV) for Random Forest Algorithm Project Conclusion and Sharing Data analysis is the process of studying or manipulating a dataset to gain some sort of insight Big News: Introducing ChatGPT-4o How to Use ChatGPT-4o? Chronological Development of ChatGPT What Are the Capabilities of ChatGPT-4o? As an App: ChatGPT Voice Communication with ChatGPT-4o Instant Translation in 50+ Languages Interview Preparation with ChatGPT-4o Visual Commentary with ChatGPT-4o ChatGPT for Generative AI Introduction Accessing the Dataset First Task: Field Knowledge Continuing with Field Knowledge Delving into the Details of Variables Exploratory Data Analysis (EDA) Categorical Variables (Analysis with Pie Chart) Importance of Bivariate Analysis in Data Science Numerical Variables vs Target Variable Correlation Between Numerical and Categorical Variables and the Target Variable Numerical Variables - Categorical Variables Numerical Variables - Categorical Variables with Swarm Plot Relationships between variables (Analysis with Heatmap) Preparation for Modeling Dropping Columns with Low Correlation Struggling Outliers Visualizing Outliers Dealing with Outliers Determining Distributions Determining Distributions of Numeric Variables Applying One Hot Encoding Method to Categorical Variables Feature Scaling with the RobustScaler Method for Machine Learning Algorithms Feature Scaling with the RobustScaler Method for Machine Learning Algorithms Logistic Regression Algorithm Cross Validation ROC Curve and Area Under Curve (AUC) ROC Curve and Area Under Curve (AUC) Hyperparameter Tuning for Logistic Regression Model Decision Tree Algorithm Support Vector Machine Algorithm Random Forest Algorithm Generative AI is artificial intelligence (AI) that can create original content in response to a user's prompt or request Requirements Desire to learn about Kaggle Watch the course videos completely and in order Internet Connection. Any device such as mobile phone, computer, or tablet where you can watch the lesson. Learning determination and patience. Nothing else! It's just you, your computer and your ambition to get started today Desire to improve Data Science, Machine Learning, Python Portfolio with Kaggle Free software and tools used during the course A working computer (Windows, Mac, or Linux) Motivation to learn the the second largest number of job postings relative AI among all others Desire to learn Generative AI & ChatGPT Curiosity for Artificial Intelligence and Data Science Basic python knowledge LIFETIME ACCESS Description Hello There, Welcome to the" Generative AI with Heart Attack Prediction Kaggle Project " course. Master in Data Science and Use Gen AI tools to predict heart attacks using Kaggle datasets and ChatGPT-4o's super powerArtificial Intelligence (AI) is transforming the way we interact with technology, and mastering AI tools has become essential for anyone looking to stay ahead in the digital age. In today's data-driven world, the ability to analyze data, extract meaningful insights, and apply machine learning algorithms is more important than ever. This course is designed to guide you step by step through this journey, from the fundamentals of Exploratory Data Analysis (EDA) to mastering advanced machine learning algorithms, all while leveraging the power of ChatGPT-4o.Machine learning defines systems that make predictions using models trained on real-world data. For instance, let's say we want to create a system that can determine whether an image contains a cat. First, we gather many images to train our machine learning model. During the training phase, we feed the images to the model along with information about whether or not they contain a cat. Throughout the training process, the model learns patterns in the images most closely associated with cats. The model can then use these learned patterns to predict whether a new image contains a cat.A machine learning course teaches you the concepts and technologies behind AI, including predictive text, virtual assistants, and much more. By using programming languages like Python and R, you will develop the foundational skills needed to build neural networks and create more complex functions.We have more data than ever before. However, data alone doesn't tell us much about the world around us. We need to interpret the information and discover hidden patterns. This is where data science comes into play. Data science uses algorithms to make sense of raw data. The key difference between data science and traditional data analysis is its focus on prediction.Data science is a highly sought-after skill across many industries worldwide, including finance, transportation, education, manufacturing, human resources, and banking. Explore data science courses with Python, statistics, machine learning, and more to expand your knowledge.If you're an aspiring data scientist, Kaggle is the best place to start. Many companies offer job offers to those who rank highly in their competitions. In fact, if you reach one of the top positions, Kaggle could become your full-time job.What This Course Offers:In this course, you will gain a deep understanding of the entire data analysis and machine learning pipeline. Whether you're new to this field or looking to expand your existing knowledge, our hands-on approach will equip you with the skills needed to tackle real-world data challenges.You will begin by diving into the fundamentals of EDA, where you'll learn how to explore, visualize, and interpret datasets. Through step-by-step guidance, you'll master the techniques for cleaning, transforming, and analyzing data to uncover trends, patterns, and outliers-crucial steps before moving on to predictive modeling.Why ChatGPT-4o?This course uniquely integrates the next-generation AI tool, ChatGPT-4o, to assist you throughout your learning journey. You'll see firsthand how this cutting-edge AI is transforming data analysis workflows and unlocking new levels of efficiency and creativity.Mastering Machine Learning:Once your foundation in EDA is solid, the course will guide you through advanced machine learning algorithms such as Logistic Regression, Decision Trees, Random Forest, and more. You'll learn not only how these algorithms work but also how to implement and optimize them using real-world datasets. By the end of the course, you'll be proficient in selecting the right models, fine-tuning hyperparameters, and evaluating model performance with confidence.What You'll Learn:Exploratory Data Analysis (EDA): Master the techniques for analyzing and visualizing data, detecting trends, and preparing data for modeling.Machine Learning Algorithms: Implement algorithms like Logistic Regression, Decision Trees, and Random Forest, and understand when and how to use them.ChatGPT-4o Integration: Leverage the AI capabilities of ChatGPT-4o to automate workflows, generate code, and improve data insights.Real-World Applications: Apply the knowledge gained to solve complex problems and make data-driven decisions in industries such as finance, healthcare, and technology.Next-Gen AI Techniques: Explore advanced techniques that combine AI with machine learning, pushing the boundaries of data analysis.Why This Course Stands Out:This course stands out by blending theory with practice. Unlike traditional data science courses, you'll not only learn data analysis and machine learning but also apply these skills in real-world scenarios with guidance from ChatGPT-4. The hands-on projects ensure that you'll be able to tackle any data challenge in your career. Data science is crucial across fields, from government security to dating apps, and careers in this field are in high demand. Whether you're new to Data Science with Python or an experienced developer looking to transition, our "Generative AI for Heart Attack Prediction with Kaggle" course is designed to boost your CV and enhance your skills.In this course, you will Learn:What is Kaggle?Registering on Kaggle and Member Login ProceduresGetting to Know the Kaggle Homepage: Competitions on KaggleDatasets on KaggleExamining the Code Section in KaggleWhat is Discussion on Kaggle?Courses in KaggleRanking Among Users on KaggleBlog and Documentation SectionsUser Page Review on KaggleTreasure in The KagglePublishing Notebooks on KaggleWhat Should Be Done to Achieve Success in Kaggle?Recognizing Variables In DatasetRequired Python LibrariesLoading the DatasetInitial analysis on the datasetExamining Missing ValuesExamining Unique ValuesSeparating variables (Numeric or Categorical)Numeric Variables (Analysis with Distplot)Examining the Missing Data According to the Analysis ResultNumeric Variables - Target VariableExamining Numeric Variables Among ThemselvesCreating a New DataFrame with the Melt() FunctionPreparation for Modelling ProjectModelling ProjectProject SharingBig News: Introducing ChatGPT-4oHow to Use ChatGPT-4o?Chronological Development of ChatGPTWhat Are the Capabilities of ChatGPT-4o?As an App: ChatGPTVoice Communication with ChatGPT-4oInstant Translation in 50+ LanguagesInterview Preparation with ChatGPT-4oVisual Commentary with ChatGPT-4oChatGPT for Generative AI IntroductionAccessing the DatasetFirst Task: Field KnowledgeContinuing with Field KnowledgeLoading the Dataset and Understanding VariablesDelving into the Details of VariablesLet's Perform the First AnalysisExamining Statistics of VariablesExploratory Data Analysis (EDA)Categorical Variables (Analysis with Pie Chart)Importance of Bivariate Analysis in Data ScienceNumerical Variables vs Target VariableCategoric Variables vs Target VariableCorrelation Between Numerical and Categorical Variables and the Target VariableNumerical Variables - Categorical VariablesNumerical Variables - Categorical Variables with Swarm PlotRelationships between variables (Analysis with Heatmap)Preparation for ModelingDropping Columns with Low CorrelationStruggling OutliersVisualizing OutliersDealing with OutliersDetermining DistributionsDetermining Distributions of Numeric VariablesApplying One Hot Encoding Method to Categorical VariablesFeature Scaling with the RobustScaler Method for Machine Learning AlgorithmsSeparating Data into Test and Training SetLogistic Regression AlgorithmCross ValidationROC Curve and Area Under Curve (AUC)Hyperparameter Optimization (with GridSearchCV)Hyperparameter Tuning for Logistic Regression ModelDecision Tree AlgorithmSupport Vector Machine AlgorithmRandom Forest AlgorithmWhat is Kaggle?Kaggle, a subsidiary of Google LLC, is an online community of data scientists and machine learning practitioners.Kaggle offers a no-setup, customizable, Jupyter Notebooks environment. Access free GPUs and a huge repository of community-Published: data & code.Kaggle is a platform where data scientists can compete in machine learning challenges. These challenges can be anything from predicting housing prices to detecting cancer cells. Kaggle has a massive community of data scientists who are always willing to help others with their data science problems. In addition to the competitions, Kaggle also has many tutorials and resources that can help you get started in machine learning.If you are an aspiring data scientist, Kaggle is the best way to get started. Many companies will give offers to those who rank highly in their competitions. In fact, Kaggle may become your full-time job if you can hit one of their high rankings.What is machine learning?Machine learning describes systems that make predictions using a model trained on real-world data. For example, let's say we want to build a system that can identify if a cat is in a picture. We first assemble many pictures to train our machine learning model. During this training phase, we feed pictures into the model, along with information around whether they contain a cat. While training, the model learns patterns in the images that are the most closely associated with cats. This model can then use the patterns learned during training to predict whether the new images that it's fed contain a cat. In this particular example, we might use a neural network to learn these patterns, but machine learning can be much simpler than that. Even fitting a line to a set of observed data points, and using that line to make new predictions, counts as a machine learning model.What is data science?We have more data than ever before. But data alone cannot tell us much about the world around us. We need to interpret the information and discover hidden patterns. This is where data science comes in. Data science uses algorithms to understand raw data. The main difference between data science and traditional data analysis is its focus on prediction. Data science seeks to find patterns in data and use those patterns to predict data. It draws on machine learning to process large amounts of data, discover patterns, and predict trends. Data science includes preparing, analyzing, and processing data. It draws from many scientific fields, and as a science, it progresses by creating new algorithms to analyze data and validate current methods.Is Kaggle good for beginners?Despite the differences between Kaggle and typical data science, Kaggle can still be a great learning tool for beginners. Each competition is self-contained. You don't need to scope your own project and collect data, which frees you up to focus on other skills.How does Kaggle work?Every competition on Kaggle has a dataset associated with it and a goal you must reach (i.e., predict housing prices or detect cancer cells). You can access the data as often as possible and build your prediction model. This ensures that everyone is starting from the same point when competing against one another, so there are no advantages given to those with more computational power than others trying to solve the problem.Competitions are separated into different categories depending on their complexity level, how long they take, whether or not prize money is involved, etc., so users with varying experience levels can compete against each other in the same arena.What type of skills do you need to compete on Kaggle?You should be comfortable with data analysis and machine learning if you're looking to get involved in competitions.Data science is a very broad term that can be interpreted in many ways depending on who you talk to. But suppose we're talking specifically about competitive data science like what you see on Kaggle. In that case, it's about solving problems or gaining insights from data.It doesn't necessarily involve machine learning, but you will need to understand the basics of machine learning to get started. There are no coding prerequisites either, though I would recommend having some programming experience in Python or R beforehand.That being said, if competitive data science sounds interesting to you and you want to get started right away, we have a course for that on Duomly!How does one enter a competition on Kaggle?The sign-up process for entering a competition is very straightforward: Most competitions ask competitors to submit code that meets specific criteria at the end of each challenge. However, there may be times when they want competitors to explain what algorithms they used or provide input about how things work.What are some Kaggle competitions I could consider solving?Suppose you want to solve one of their business-related challenges. In that case, you'll need to have a good understanding of machine learning and what models work well with certain types of data. Suppose you want to do one of their custom competition. You'll need to have a background in computer science to code in the language associated with the problem.How do Kaggle competitions make money?Many companies on Kaggle are looking for solutions, so there is always a prize attached to each competition. If your solution is strong enough, you can win a lot of money!Some of these competitions are just for fun or learning purposes but still award winners with cash or merchandise prizes.What tools should I use to compete on Kaggle?The most important tool that competitors rely on every day is the Python programming language. It's used by over 60% of all data scientists, so it has an extremely large community behind it. It's also extremely robust and has many different packages available for data manipulation, preprocessing, exploration to get you started.TensorFlow is another popular tool that machine learning enthusiasts use to solve Kaggle competitions. It allows quick prototyping of models to get the best possible results. Several other tools are used in addition to Python and Tensorflow, such as R (a statistical programming language), Git (version control), and Bash (command-line interface). Still, I'll let you research those on your own!What is the main benefit of using Kaggle to solve problems?Kaggle aims to give you the tools necessary to become a world-class data scientist. They provide you with access to real data in real-time so you can practice solving problems similar to what companies face around the world.Who would be interested in using Kaggle?With many tutorials and datasets readily available, Machine Learning enthusiasts would be very interested in Kaggle.It is an excellent place to learn more about machine learning, practice what they've learned, and compete with other data scientists. This will help them become better at their craft.Data analysts that want to use machine learning in their work can refer to Kaggle when choosing tools to improve the performance of business-related tasks such as forecasting sales numbers or predicting customer behavior.In addition, businesses who are looking for third-party solutions can benefit from Kaggle's extensive list of companies offering the service they need.If you need machine learning services, don't hesitate to contact us. We have a team of experts who can help you with your needs.What is the difference between machine learning and artifical intelligence?Machine learning is a smaller subset of the broader spectrum of artificial intelligence. While artificial intelligence describes any "intelligent machine" that can derive information and make decisions, machine learning describes a method by which it can do so. Through machine learning, applications can derive knowledge without the user explicitly giving out the information. This is one of the first and early steps toward "true artificial intelligence" and is extremely useful for numerous practical applications. In machine learning applications, an AI is fed sets of information. It learns from these sets of information about what to expect and what to predict. But it still has limitations. A machine learning engineer must ensure that the AI is fed the right information and can use its logic to analyze that information correctly.What does a data scientist do?Data Scientists use machine learning to discover hidden patterns in large amounts of raw data to shed light on real problems. This requires several steps. First, they must identify a suitable problem. Next, they determine what data are needed to solve such a situation and figure out how to get the data. Once they obtain the data, they need to clean the data. The data may not be formatted correctly, it might have additional unnecessary data, it might be missing entries, or some data might be incorrect. Data Scientists must, therefore, make sure the data is clean before they analyze the data. To analyze the data, they use machine learning techniques to build models. Once they create a model, they test, refine, and finally put it into production.How long does it take to become a data scientist?This answer, of course, varies. The more time you devote to learning new skills, the faster you will learn. It will also depend on your starting place. If you already have a strong base in mathematics and statistics, you will have less to learn. If you have no background in statistics or advanced mathematics, you can still become a data scientist; it will just take a bit longer. Data science requires lifelong learning, so you will never really finish learning. A better question might be, "How can I gauge whether I know enough to become a data scientist?" Challenge yourself to complete data science projects using open data. The more you practice, the more you will learn, and the more confident you will become. Once you have several projects that you can point to as good examples of your skillset as a data scientist, you are ready to enter the field.How can I learn data science on my own?It is possible to learn data science on your own, as long as you stay focused and motivated. Luckily, there are a lot of online courses and boot camps available. Start by determining what interests you about data science. If you gravitate to visualizations, begin learning about them. Starting with something that excites you will motivate you to take that first step. If you are not sure where you want to start, try starting with learning Python. It is an excellent introduction to programming languages and will be useful as a data scientist. Begin by working through tutorials or Oak Academy courses on the topic of your choice. Once you have developed a base in the skills that interest you, it can help to talk with someone in the field. Find out what skills employers are looking for and continue to learn those skills. When learning on your own, setting practical learning goals can keep you motivated.What skills should a data scientist know?A data scientist requires many skills. They need a strong understanding of statistical analysis and mathematics, which are essential pillars of data science. A good understanding of these concepts will help you understand the basic premises of data science. Familiarity with machine learning is also important. Machine learning is a valuable tool to find patterns in large data sets. To manage large data sets, data scientists must be familiar with databases. Structured query language (SQL) is a must-have skill for data scientists. However, nonrelational databases (NoSQL) are growing in popularity, so a greater understanding of database structures is beneficial. The dominant programming language in Data Science is Python - although R is also popular. A basis in at least one of these languages is a good starting point. Finally, to communicate findings, data scientists require knowledge of visualizations. Data visualizations allow them to share complex data in an accessible manner.VIs data science a good career?The demand for data scientists is growing. We do not just have data scientists; we have data engineers, data administrators, and analytics managers. The jobs also generally pay well. This might make you wonder if it would be a promising career for you. A better understanding of the type of work a data scientist does can help you understand if it might be the path for you. First and foremost, you must think analytically. Data science is about gaining a more in-depth understanding of info through data. Do you fact-check information and enjoy diving into the statistics? Although the actual work may be quite technical, the findings still need to be communicated. Can you explain complex findings to someone who does not have a technical background? Many data scientists work in cross-functional teams and must share their results with people with very different backgrounds. If this sounds like a great work environment, then it might be a promising career for you.Why would you want to take this course?Our answer is simple: The quality of teaching.When you enroll, you will feel the OAK Academy`s seasoned developers' expertise.Video and Audio Production QualityAll our videos are created/produced as high-quality video and audio to provide you with the best learning experience.You will be,Seeing clearlyHearing clearlyMoving through the course without distractionsYou'll also get:Lifetime Access to The CourseFast & Friendly Support in the Q&A sectionUdemy Certificate of Completion Ready for DownloadWe offer full support, answering any questions.If you are ready to learn Now Dive into; " Generative AI with Heart Attack Prediction Kaggle ProjectMaster in Data Science and Use Gen AI tools to predict heart attacks using Kaggle datasets and ChatGPT-4o's super power " course.See you in the course! Who this course is for Anyone who wants to start learning AI & ChatGPT Anyone who wants to find and publish data sets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges. For those who want to compete in data science and machine learn by learning about Kaggle Anyone who wants to learn Kaggle Those who want to improve their CV in Data Science, Machine Learning, Python with Kaggle Anyone who is interested in Artificial Intelligence, Machine Learning, Deep Learning, in short Data Science Anyone who have a career goal in Data Science Anyone who is interested in Artificial Intelligence, Machine Learning, Deep Learning, in short Data Science Anyone who needs a complete guide on how to start and continue their career with AI & Prompt Engineering And also, who want to learn how to develop Prompt Engineering Data Analyst who want to apply generative AI tools to automate repetitive tasks, streamline data workflows, and generate insights. Data Engineer who wants to optimize data pipelines and automate data-related tasks. AI and Machine Learning Enthusiasts who want to deepen their understanding of how generative AI models, like ChatGPT, can be applied to real-world data tasks. Business Analysts who wants to understand how generative AI can assist in generating business insights from raw data Students or Beginners in Data Science who want to get familiar with cutting-edge AI tools and apply them to basic data analysis, engineering, or project automation. 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Free Download Generative AI & ChatGPT Mastery for Data Science and Python Published: 12/2024 Created by: Oak Academy,OAK Academy Team,Ali̇ CAVDAR MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 198 Lectures ( 24h 6m ) | Size: 10.3 GB Master Generative AI, ChatGPT and Prompt Engineering for Data Science and Python from scratch with hands-on projects What you'll learn What is Artificial Intelligence? Artificial Narrow Intelligence (ANI) Artificial General Intelligence (AGI) Artificial Super Intelligence (ASI) Subsets of Artificial Intelligence - Machine Learning Subsets of Artificial Intelligence - Deep Learning Machine Learning Study with a Real Example Large Language Models(LLM) Natural Language Processing(NLP) A Warning Before Switching to ChatGPT Revolutionary of the Era: OpenAI Let's Get to Know the ChatGPT Interface Differences in the ChatGPT-4 Interface ChatGPT's Endpoints Prompt Prompt Engineering Power Summary of Prompt Engineering Fundamentals Prompt Engineering: Sample Prompts Best Questions in Prompt Engineering Summary of the Best Questions in Prompt Engineering Reinforcing the topic through a scenario Drawing a Roadmap to the Prompt Directed Writing Request Clear Explanation Method Example-Based Learning RGC(Role, Goals, Context) Constrained Responses Adding Visual Appeal Prompt Updates ChatGPT-Google Extension Email Writing Summarizing YouTube Videos Talk to ChatGPT Quick Access to ChatGPT Dive Into Websites Get Prompt Assistance Using the ChatGPT API File Reading Visual Reading Visual Generation (DALL-E Introduction) Enhancing Images with DALL-E Improving Visuals Through Ready-Made Prompts Combining Images A Helper Site for Visual Prompts GPTs Create Your Own GPT Useful GPTs Big News: Introducing ChatGPT-4o How to Use ChatGPT-4o? Chronological Development of ChatGPT What Are the Capabilities of ChatGPT-4o? Voice Communication with ChatGPT-4o Instant Translation in 50+ Languages Interview Preparation with ChatGPT-4o Visual Commentary with ChatGPT-4o Data analysis is the process of studying or manipulating a dataset to gain some sort of insight Big News: Introducing ChatGPT-4o How to Use ChatGPT-4o? Chronological Development of ChatGPT What Are the Capabilities of ChatGPT-4o? As an App: ChatGPT Voice Communication with ChatGPT-4o Instant Translation in 50+ Languages Interview Preparation with ChatGPT-4o Visual Commentary with ChatGPT-4o ChatGPT for Generative AI Introduction Accessing the Dataset First Task: Field Knowledge Loading the Dataset and Understanding Variables Let's Perform the First Analysis Examining Missing Values Examining Unique Values Categorical Variables (Analysis with Pie Chart) Exploratory Data Analysis (EDA) Categoric Variables vs Target Variable Correlation Between Numerical and Categorical Variables and the Target Variable Relationships between variables (Analysis with Heatmap) Numerical Variables - Categorical Variables with Swarm Plot Dropping Columns with Low Correlation Visualizing Outliers Determining Distributions Applying One Hot Encoding Method to Categorical Variables Feature Scaling with the RobustScaler Method for Machine Learning Algorithms Feature Scaling with the RobustScaler Method for Machine Learning Algorithms Logistic Regression Algorithm Cross Validation ROC Curve and Area Under Curve (AUC) ROC Curve and Area Under Curve (AUC) Hyperparameter Tuning for Logistic Regression Model Decision Tree Algorithm Support Vector Machine Algorithm Random Forest Algorithm Generative AI is artificial intelligence (AI) that can create original content in response to a user's prompt or request Getting to know the dataset using ChatGPT Getting started with Exploratory Data Analysis(EDA) using ChatGPT Perform Multivariate Analysis using ChatGPT Prepare data for machine learning model using ChatGPT Create a machine learning model using the Linear Regression algorithm with ChatGPT Develop machine learning model using ChatGPT Perform Feature Engineering using ChatGPT Performing Hyperparameter Optimization using ChatGPT Loading Dataset using ChatGPT Perform initial analysis on Dataset using ChatGPT Performing the first operation on the Dataset using ChatGPT Tackling Missing values using ChatGPT Performing Bivariate analysis with CatPLot using ChatGPT Performing Bivariate analysis with KdePLot using ChatGPT Examining the correlation of variables using ChatGPT Perform a get_dummies operation using ChatGPT Prepare for Logistic Regression modeling using ChatGPT Create a Logistic Regression model using ChatGPT Examining evaluation metrics on the Logistic Regression model using ChatGPT Perform a GridSearchCv operation using ChatGPT Model reconstruction with best parameters using ChatGPT Requirements A working computer (Windows, Mac, or Linux) Motivation to learn the the second largest number of job postings relative AI among all others Desire to learn AI & ChatGPT Curiosity for Artificial Intelligence and Data Science Nothing else! It's just you, your computer and your ambition to get started today Basic python knowledge Description Hi there,Welcome to "Generative AI & ChatGPT Mastery for Data Science and Python" course.Master Generative AI, ChatGPT and Prompt Engineering for Data Science and Python from scratch with hands-on projectsArtificial Intelligence (AI) is transforming the way we interact with technology, and mastering AI tools has become essential for anyone looking to stay ahead in the digital age. In today's data-driven world, the ability to analyze data, draw meaningful insights, and apply machine learning algorithms is more crucial than ever. This course is designed to guide you through every step of that journey, from the basics of Exploratory Data Analysis (EDA) to mastering advanced machine learning algorithms, all while leveraging the power of ChatGPT-4o.Data science application is an in-demand skill in many industries worldwide - including finance, transportation, education, manufacturing, human resources, and banking. Explore data science courses with Python, statistics, machine learning, and more to grow your knowledge. Get data science training if you're into research, statistics, and analytics.Machine learning describes systems that make predictions using a model trained on real-world data. For example, let's say we want to build a system that can identify if a cat is in a picture. We first assemble many pictures to train our machine learning model. During this training phase, we feed pictures into the model, along with information about whether they contain a cat. While training, the model learns patterns in the images that are the most closely associated with cats. This model can then use the patterns learned during training to predict whether the new images that it's fed contain a cat.A machine learning course teaches you the technology and concepts behind predictive text, virtual assistants, and artificial intelligence. You can develop the foundational skills you need to advance to building neural networks and creating more complex functions through the Python and R programming languages. We have more data than ever before. But data alone cannot tell us much about the world around us. We need to interpret the information and discover hidden patterns. This is where data science comes in. Data science uses algorithms to understand raw data. The main difference between data science and traditional data analysis is its focus on prediction.Python instructors at OAK Academy specialize in everything from software development to data analysis and are known for their effective, friendly instruction for students of all levels.Whether you work in machine learning or finance or are pursuing a career in web development or data science, Python is one of the most important skills you can learn. Python, python programming, python examples, python example, python hands-on, pycharm python, python pycharm, python with examples, python: learn python with real python hands-on examples, learn python, real pythonPython's simple syntax is especially suited for desktop, web, and business applications. Python's design philosophy emphasizes readability and usability. Python was developed upon the premise that there should be only one way (and preferably one obvious way) to do things, a philosophy that has resulted in a strict level of code standardization. The core programming language is quite small and the standard library is also large. In fact, Python's large library is one of its greatest benefits, providing a variety of different tools for programmers suited for many different tasks.What This Course Offers:In this course, you will gain a deep understanding of the entire data analysis and machine learning pipeline. Whether you are new to the field or looking to expand your existing knowledge, our hands-on approach will equip you with the skills you need to tackle real-world data challenges.You'll begin by diving into the fundamentals of EDA, where you'll learn how to explore, visualize, and interpret datasets. With step-by-step guidance, you'll master techniques to clean, transform, and analyze data to uncover trends, patterns, and outliers-key steps before jumping into predictive modeling.Why ChatGPT-4o?This course uniquely integrates ChatGPT-4o, the next-gen AI tool, to assist you throughout your learning journey. ChatGPT-4o will enhance your productivity by automating tasks, helping with code generation, answering queries, and offering suggestions for better analysis and model optimization. You'll see how this cutting-edge AI transforms data analysis workflows and unlocks new levels of efficiency and creativity.Mastering Machine Learning:Once your foundation in EDA is solid, the course will guide you through advanced machine learning algorithms such as Logistic Regression, Decision Trees, Random Forest, and more. You'll learn not only how these algorithms work but also how to implement and optimize them using real-world datasets. By the end of the course, you'll be proficient in selecting the right models, fine-tuning hyperparameters, and evaluating model performance with confidence.What You'll Learn:Exploratory Data Analysis (EDA): Master the techniques for analyzing and visualizing data, detecting trends, and preparing data for modeling.Machine Learning Algorithms: Implement algorithms like Logistic Regression, Decision Trees, and Random Forest, and understand when and how to use them.ChatGPT-4o Integration: Leverage the AI capabilities of ChatGPT-4o to automate workflows, generate code, and improve data insights.Real-World Applications: Apply the knowledge gained to solve complex problems and make data-driven decisions in industries such as finance, healthcare, and technology.Next-Gen AI Techniques: Explore advanced techniques that combine AI with machine learning, pushing the boundaries of data analysis.Why This Course Stands Out:Unlike traditional data science courses, this course blends theory with practice. You won't just learn how to perform data analysis or build machine learning models-you'll also apply these skills in real-world scenarios with guidance from ChatGPT-4o. The hands-on projects ensure that by the end of the course, you can confidently take on any data challenge in your professional career.In this course, you will Learn:What is Artificial Intelligence?Artificial Narrow Intelligence (ANI)Artificial General Intelligence (AGI)Artificial Super Intelligence (ASI)Subsets of Artificial Intelligence - Machine LearningSubsets of Artificial Intelligence - Deep LearningMachine Learning vs. Deep LearningMachine Learning Study with a Real ExampleLarge Language Models(LLM)Natural Language Processing(NLP)A Warning Before Switching to ChatGPTRevolutionary of the Era: OpenAIThe Revolution of the Age: Creating a ChatGPT AccountLet's Get to Know the ChatGPT InterfaceChatGPT: Differences Between VersionsDifferences in the ChatGPT-4 InterfaceChatGPT's EndpointsChatGPT's Secret to More Accurate Answers: PromptPrompt Engineering PowerSummary of Prompt Engineering FundamentalsPrompt Engineering: Sample PromptsBest Questions in Prompt EngineeringSummary of the Best Questions in Prompt EngineeringReinforcing the topic through a scenarioDrawing a Roadmap to the PromptDirected Writing RequestClear Explanation MethodExample-Based LearningRGC(Role, Goals, Context)Constrained ResponsesAdding Visual AppealPrompt UpdatesChatGPT-Google ExtensionEmail WritingSummarizing YouTube VideosTalk to ChatGPTQuick Access to ChatGPTDive Into WebsitesGet Prompt AssistanceUsing the ChatGPT APIFile ReadingVisual ReadingVisual Generation (DALL-E Introduction)Enhancing Images with DALL-EImproving Visuals Through Ready-Made PromptsCombining ImagesA Helper Site for Visual PromptsGPTsCreate Your Own GPTUseful GPTsBig News: Introducing ChatGPT-4oHow to Use ChatGPT-4o?Chronological Development of ChatGPTWhat Are the Capabilities of ChatGPT-4o?As an App: ChatGPTVoice Communication with ChatGPT-4oInstant Translation in 50+ LanguagesInterview Preparation with ChatGPT-4oVisual Commentary with ChatGPT-4oGetting to know the dataset using ChatGPTGetting started with Exploratory Data Analysis(EDA) using ChatGPTPerform Univariate Analysis using ChatGPTPerform Bivariate Analysis using ChatGPTPerform Multivariate Analysis using ChatGPTPerform Correlation Analysis using ChatGPTPrepare data for machine learning model using ChatGPTCreate a machine learning model using the Linear Regression algorithm with ChatGPTDevelop machine learning model using ChatGPTPerform Feature Engineering using ChatGPTPerforming Hyperparameter Optimization using ChatGPT2.1 Loading Dataset using ChatGPTPerform initial analysis on Dataset using ChatGPTPerforming the first operation on the Dataset using ChatGPTTackling Missing values using ChatGPTPerforming Bivariate analysis with CatPLot using ChatGPTPerforming Bivariate analysis with KdePLot using ChatGPTExamining the correlation of variables using ChatGPTPerform a get_dummies operation using ChatGPTPrepare for Logistic Regression modeling using ChatGPTCreate a Logistic Regression model using ChatGPTExamining evaluation metrics on the Logistic Regression model using ChatGPTPerform a GridSearchCv operation using ChatGPTModel reconstruction with best parameters using ChatGPTSummaryBeginners who want a structured, comprehensive introduction to data analysis and machine learning.Data enthusiasts looking to enhance their AI-driven analysis and modeling skills.Professionals who want to integrate AI tools like ChatGPT-4o into their data workflows.Anyone interested in mastering the art of data analysis, machine learning, and next-generation AI techniques.What You'll Gain:By the end of this course, you will have a robust toolkit that enables you to:Transform raw data into actionable insights with EDA.Build, evaluate, and fine-tune machine learning models with confidence.Use ChatGPT-4o to streamline data analysis, automate repetitive tasks, and generate faster results.Apply advanced AI techniques to tackle industry-level problems and make data-driven decisions.This course is your gateway to mastering data analysis, machine learning, and AI, and it's designed to provide you with both the theoretical knowledge and practical skills needed to succeed in today's data-centric world.Join us on this complete journey and unlock the full potential of data with ChatGPT-4o and advanced machine learning algorithms. Let's get started!Video and Audio Production QualityAll our videos are created/produced as high-quality video and audio to provide you the best learning experience.You will be,Seeing clearlyHearing clearlyMoving through the course without distractionsYou'll also get:Lifetime Access to The CourseFast & Friendly Support in the Q&A sectionUdemy Certificate of Completion Ready for DownloadDive in now!We offer full support, answering any questions.See you in the "Generative AI & ChatGPT Mastery for Data Science and Python" course.Master Generative AI, ChatGPT and Prompt Engineering for Data Science and Python from scratch with hands-on projects Who this course is for Anyone who wants to start learning AI & ChatGPT Anyone who needs a complete guide on how to start and continue their career with AI & Prompt Engineering And also, who want to learn how to develop Prompt Engineering Data Analyst who want to apply generative AI tools to automate repetitive tasks, streamline data workflows, and generate insights. Data Engineer who wants to optimize data pipelines and automate data-related tasks. AI and Machine Learning Enthusiasts who want to deepen their understanding of how generative AI models, like ChatGPT, can be applied to real-world data tasks. Business Analysts who wants to understand how generative AI can assist in generating business insights from raw data Students or Beginners in Data Science who want to get familiar with cutting-edge AI tools and apply them to basic data analysis, engineering, or project automation. 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Free Download Futures Trading Ninja DIY 12Hour TOP-NOTCH Trading Strategy Last updated: 12/2024 Created by: Saad T. Hameed (STH) • 0.9+ Million Enrollments Worldwide MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English + subtitle | Duration: 78 Lectures ( 11h 48m ) | Size: 11.1 GB Futures Trading & Technical Analysis System For Stock Futures, Forex Futures Trading with Technical Analysis Tools What you'll learn Strong foundation and deep understanding about Futures Trading Understand ongoing Swing of the Futures, Forex or Stock market. Learn to Enter or Exit a Futures Trade Deeper understanding of Time frame in Futures Trading Important Swing Trading basics, especially designed to read Futures, Forex or Stock market trend. Learn the Most reliable and profitable Futures Trading Strategy to make consistent profit year after year. Requirements Basic understanding of Stock or Futures Market Basic Futures, Forex or Stock Trading Knowledge Basic knowledge of Technical Analysis or Chart Analysis You commit that after the course you will do demo trading on this strategy for at-least 6 Months. Description *** Course access includes quizzes & homework exercises, 1-on-1 instructor support and LIFETIME access! ***Information is easily understandable-Yvonne MikulaHear why this is one of the TOP-NOTCH Futures Trading course on Udemy:TOP-NOTCH Futures Trading InstructorI currently have 71 Knowledge programs with 20,520+ Minutes of Content (342 hours in total) with 112,000+ Satisfied Students enrolled. That's 14+ days of learning material!I am currently mentioned in "Most Popular Instructors" tab on Udemy Business/Finance Section.Futures Trading Course Details:Are you thinking to learn Advance skills?Do you know why Futures traders succeed where others fail?If not then this course is for you as this course not only discusses how to trade Futures but also on how to read the market along with Secrets of Futures trading.My Advanced Futures Trading Ninja Strategy is the only complete course, that not only show you how to enter a trade but also how to exit and how to manage risk. Futures Trading is a Complex topic and this course focuses on strengthening your basics and gives you the ability to read the market as a price action trader. I will train you to read and correctly interpret Trends in Futures Trading. You will be able to predict which way a stock will most likely move in the near future as you will be using different complex indicators to access the market. Technical Analysis gives you a glimpse of the future, and is a must have arsenal in your tool book.The Futures trading strategy I teach in this course will provide you with a plan for entering and exiting trades with confidence. This Futures Trading course comes with guarantee that you can always apply for 100% Refund within 30 days. In this Stock Futures Trading Course we will discuss Charts to show you how to enter and exit along with Risk management. My Complete Focus in this course is on, how to stop losses and how to let your profitable Futures trade run.Futures Trading strategy Essentials: You will learn each and every single details that is necessary, to successfully swing trade. However Before diving into the strategy, I will first teach you the essential price action points, especially designed to strengthen your knowledge base.In this course, I will teach you different indicator that will help you understand the Futures trading game. 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As trading without losses will always help you to end in profit.I will not stop here, I will also increase your Forex or Stock Trading knowledge through Chart patternsSymmetrical Triangle PatternFlag and peanut Chart PatternAscending Triangle PatternThis Futures Trading course comes with guarantee that you can always apply for 100% Refund within 30 days. Again I will not stop here, but will also discuss Simple and Complex Candlestick patterns for Forex or stock trading likeMarubozuBullish Harami CrossBearish 3-Method Candlestick FormationDark Cloud CoverRising Window on Candlestick PatternEvening Doji Star Candlestick PatternI will also discuss odd but effective Futures trading tools that no other course discussesFibonacci RetracementCheck Short Sale MetricsSources of short interest dataIrving Fisher Debt Deflation TheoryI will also discuss odd but effective Futures Fundamental trading tools that no other course discussesGross MarginOperating marginPretax marginNet Profit marginQuick RatioDisclaimer Note: This Futures Trading course is for educational and informational purposes only. Not recommending of any particular investments such as a particular stock or mutual fund. Who this course is for Futures, Forex and Stock market Swing traders. Traders, who needs a Profitable & Complete Futures Trading Strategy Traders, Who wants to master Futures Trading. Traders, who wants to strengthen their trading skills through world's most powerful price action based Futures trading strategy. Futures Traders, who wants to improve their skills on technical analysis Futures Traders, who wants to earn consistent profit from the market by turning their losing years into winning Futures trading years by catching forex or Stock market trend. Futures Traders, who wants to maximize their winning trades by following the Advanced Futures Trading Strategy. 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Free Download Flare Network Design by Aspen Flare System Analyzer Last updated: 10/2024 Created by: Sarah Zayan MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English + subtitle | Duration: 19 Lectures ( 2h 19m ) | Size: 779 MB Pipe Network Design and Scenarios What you'll learn Safety Engineer Chemical Engineers Engineers Process Engineer Requirements Engineering background Description This comprehensive course offers an in-depth exploration of flare network design utilizing the Aspen Flare System Analyzer software. Tailored for engineers and technicians in the oil and gas, chemical, and petrochemical industries, the course aims to equip participants with the skills necessary to effectively design, simulate, and analyze flare systems.The course begins with an introduction to the Aspen Flare System Analyzer interface, guiding participants through the essential features and tools available within the software. Learners will gain hands-on experience in simulating key components of flare systems, including stack and flare tip configurations, connectors, headers, tees, and tail pipes. The importance of control and relief valves in maintaining system integrity will also be emphasized.Participants will learn how to create various operational scenarios within the Aspen Flare System Analyzer, enabling them to assess system performance under diverse conditions. The course will cover methodologies for validating models and evaluating network efficiency, ensuring that participants can confidently optimize flare system designs.The second workshop delves into more advanced topics, including pipeline network connections and the integration of flare system inputs. Participants will explore the use of length multipliers and engage in emergency scenario simulations, such as fire incidents and blocked outlets. These practical exercises will enhance participants' ability to respond to real-world challenges in flare network management.By the end of this course, participants will possess a robust understanding of flare network design principles and the practical skills necessary to utilize Aspen Flare System Analyzer effectively. This course not only enhances technical knowledge but also fosters a proactive approach to safety and operational efficiency in flare system design. Who this course is for Engineers who are interested in Flare System Simulation Homepage: https://www.udemy.com/course/flare-network-design-by-aspen-flare-system-analyzer/ DOWNLOAD NOW: Flare Network Design by Aspen Flare System Analyzer Download ( Rapidgator ) https://rg.to/file/58ef8c7efdd5a246a9927d1a0be007ed/bvbzq.Flare.Network.Design.by.Aspen.Flare.System.Analyzer.rar.html Fikper https://fikper.com/u1BjIBqjRT/bvbzq.Flare.Network.Design.by.Aspen.Flare.System.Analyzer.rar.html No Password - Links are Interchangeable

Free Download Entire Digital Marketing Course - Seo, Paid Ads, Ga4 & More Published: 12/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 22.29 GB | Duration: 40h 54m Master Everything in Digital Marketing - PPC, SEO, GA4, GTM, Email Marketing, Content Marketing, Website Development What you'll learn SEO Fundamentals: Master the basics of Search Engine Optimization, including keyword research, on-page, off-page, and technical SEO, to boost organic search. Email Marketing Essentials: Develop email campaigns that build customer relationships, drive engagement, and increase conversions with best practices in segment Google Tag Manager (GTM) Setup and Usage: Explore GTM for efficient tracking, custom event creation, and conversion tracking without the need for coding. Audience Targeting and Segmentation: Understand how to define, reach, and convert the right audiences using different targeting methods across channels. Current Trends and Best Practices: Stay updated on the latest trends in digital marketing, including AI-driven tools, content formats, and algorithm updates. Website Development Essentials: Gain insight into developing user-friendly, conversion-optimized websites, with introduction to basic web design & development. PPC Advertising: Gain hands-on experience with paid ads on Google and social media platforms, covering campaign setup, targeting, bidding, and budget management Google Analytics 4 (GA4) Mastery: Analyze and interpret user data, set up key performance indicators (KPIs), and make data-driven marketing decisions with GA4. Content Marketing Strategy: Learn to craft effective content strategies that engage audiences and drive conversions across various digital platforms. Marketing Analytics & Reporting: Create detailed reports to showcase campaign performance, ROI, and actionable insights for continuous improvement. Campaign Optimization: Learn to analyze campaign performance metrics, identify trends, and optimize ads and content for improved results. Requirements NO digital marketing experience is required! Description Hi Guys,Welcome to my Full Digital Marketing Course: SEO, Paid Ads, GA4, GTM, Email Marketing, Content Marketing & Website Development!In my course you will learn everything about Digital Marketing. I have created video lessons on every topic and feature of Digital Marketing. You will get to see the real practical implementation of how to create each and every campaign and how to use every feature of this product.This is the most detailed course on Digital Marketing you will ever find on the internet. 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A complete access to our student discussion forum, and the ability to ask me any questions you may have as you progress through the course.On top of all that, you get lifetime access and a 30 day, 100% money back guarantee!Complete Paid AdsTopics you will learn in this part:- Google Ads Overview - Keyword Research- Google Ads Formats- Google Ads Bidding Strategies- Google Display Network- Google Conversion Tracking- Google Ads Remarketing- Google Video Ads- Google Ads Certification- Facebook Marketing- Facebook Ads Basics- Facebook Ads Campaign Creation- Facebook Pixel Setup- Facebook Ads Bidding Strategies- Facebook Ads Custom Audiences- Facebook Ads Lead Gen Campaign- Facebook Ads Sales Campaign- Facebook Ads Certification- Microsoft Ads Overview- Introduction to Keywords- Microsoft Ads Formats + Extensions- Microsoft Ads Bidding Strategies- Microsoft Ads Audience Network- Microsoft Ads UET Tag Setup- Microsoft Ads Remarketing- Microsoft Shopping Ads- Microsoft Ads Mobile App Campaign- Microsoft Ads Shared Library- Microsoft Ads Certification- LinkedIn Ads Overview- LinkedIn Ads Formats- LinkedIn Ads Bidding Strategies- LinkedIn Ads Audience Templates- LinkedIn Ads Conversion Tracking- LinkedIn Ads Retargeting- LinkedIn Ads Lead Gen Campaign- LinkedIn Ads Dynamic Ad Campaign - LinkedIn Ads Carousel Image Ad Campaign - LinkedIn Ads Conversation Ad Campaign- LinkedIn Ads Document Ad Campaign- LinkedIn Ads LinkedIn Video Ad Campaign- LinkedIn Ads Event Ad Campaign- LinkedIn Ads Direct Sponsored Content Single Image Ad Campaign- How to use Reports in LinkedIn Ads- LinkedIn Ads Billing Center- LinkedIn Ads Business Manager - LinkedIn Ads CertificationThe Ultimate SEO GuideTopics you will learn in this part:- SEO The Basics - What is SEO And why is it important?, Debunking SEO Myths, Onpage/Offpage SEO Introduction- Keyword Research - Understanding Keywords, Short Tail Vs Long Tail Keywords, Google Keyword Planner Tool, SEMRush - Keyword Research, Mozbar Extension, SEMRush - Competitor Keywords, Google Auto Suggest, Google Trends- Content Creation - Content In SEO, Different Content Generation Ideas, Content Length- Onpage SEO - What is Onpage SEO, Onpage SEO Factors, Image ALT Tag for SEO, Internal Linking- Offpage SEO - Backlinks, Anchor Text, Dofollow Vs Nofollow Links, Link Building Strategies- Technical SEO - HTTP Vs HTTPS, Google Search Console, Google Analytics, XML Sitemap, Duplicate Content, What is a 404 Page, What is a 301 Redirect, Keyword Cannibalization, Schema MarkUp - Speeding Up Your Wordpress Website - Test Website Speed, Web Hosting and Servers, Speeding Up Wordpress website strategies- User Experience - What is UX, User Metrics that affect SEO Rankings- Negative SEO - What is Negative SEO, Negative SEO Tactics, How to protect website from Negative SEO- Google Algorithm Updates - Google Panda, Google Penguin, Google Hummingbird- Measure Your Progress - Keep track of Backlinks, Track Website Visits, Track traffic from different countries, What pages on your website are most popular- Leveling Up Your SEO Knowledge - Topical Relevancy, Tiered Link Building, Google AI & Machine Learning- Manual SEO Audits - What Is An SEO Audit, SEO Audit Tools, URLs + 404 Pages + Optimized URLs, Page Titles, Meta Descriptions, Heading Tags (H1 & H2s)- Competitor Research - Competitors- URL Structure for SEO - Keywords in Domain, URL Folder and Page Names Structures- Google Analytics for SEO - GA4 for SEO, Demo of GA4 + Custom Reports, How to Use Google Search Console and GA4 together- Google Search Console Tools - Tools to check Search Performance and Indexing- Finding & Removing Duplicate Content - Find Duplicate Content Pages, Get Rid of Bad Pages- How To Get .Edu Links From Universities- SEO Backlink Strategies- Link Building and Boosting SEO with Memes- Local Google SEO and Google Map RankingThe Ultimate Google Analytics 4 Topics you will learn in this part:- What is Google Analytics and Why Is It Important?- How To Set Up A Google Analytics Account & Install the Tracking Code- How To Upgrade Your Existing Google Analytics Account to GA4 - Resource- How To Install The Tracking Code On Shopify Wix Etc. - Resource- How To Prevent Inflating Your Traffic Data- How To Access The Demo Content- Google Analytics Dashboard Walkthrough- How To Find Out How Much Traffic Your Website Gets- How To Find Out What Country Your Traffic Is Coming From- How To Find Out What Pages Are The Most Popular On Your Website- Learn Who Your Visitors Are - Demographics Reports- How To Find Out What Sources & Channels Send You The Highest Quality Traffic- Real Time Reports - How To Measure Marketing Performances Live- Analyzing DAU, WAU and MAU- Events and Conversions- How To Track Form Submissions- How To Track Results From Specific Marketing Activities- Browser's Language- Location Data- Browser's Conversion Rate- Device Category- Screen Resolution- Page Speed Insights- Mobile Operating System- Landing Pages- Paid Traffic And Landing Pages- Site Search Data- Lets Analyze Beginner Traffic Data- Where are Your Users Coming From- Demographics Of Your Target Audience- Devices and Technology of Your Visitors- Finding Useful Details About the User- Identifying Overlapping Segments Of Your Visitors- Page-Level Analysis of Your Website- Cohort Analysis - Granular Analysis- More Data on Business Goals- Business Goal Analysis With Monetization Reports- Revisiting the Monetization Reports- Customized Tabular Reports In GA4- Google Looker Studios Basics- Create a New Google Analytics 4 Account- Connect Google Analytics 4 to the Website- Create a New Google Tag Manager Account- Link The Website, Google Analytics 4 and Google Tag Manager- Acquisition Reports- Campaign Tracking- Campaign URL Builder- Engagement Reports- Retention Reports- GA4 Explore Overview- Exploration AnalysisComplete Google Tag Manager GuideTopics you will learn in this part:- What is Google Tag Manager and Why Do You Need it- Useful Chrome Plugins For Working With Google Tag Manager- Create a Google Tag Manager Account- The Overview of 5 Google Tag Manager Installation Methods- Setup Google Tag Manager on Wix- Setup Google Tag Manager on Wordpress- Setup Google Tag Manager on Shopify- Setup Google Tag Manager on Squarespace- Inject Google Tag Manager Container to any Website- GTM Interface Overview- Best Practices & Considerations- Naming Conventions- Google Analytics 4 Setup & Publishing The First Version- Google Ads Remarketing Setup- Testing & Debugging Before Publishing a New Version- Facebook Pixel Setup- Copy Tag and Export Container- Troubleshooting Problems You Might Encounter- Time Triggered Tags Part 1: Custom Facebook Events For Remarketing- Time Triggered Tags Part 2: Time on Site With Google Events- Scroll Distance Tracking Part 1: The Basic- Scroll Distance Tracking Part 2: Time Triggered- Click Tracking Part 1: Outbound Links- Conversion Tracking Part 1: Simple Google Ads Conversion Tracking- Trigger Types in Google Tag Manager- Built in Variables- User-Defined Variables- Implementing GA4 Event Tag with GTM- Creating a Specific Page Trigger- Storing Measurement ID in User-Defined Variable- Tracking Clicks & Sending to GA4- Adding Details about Clicks and Sending to GA4 Events- Track Button Clicks in GA4 via GTM- Capture JavaScript Errors with GTM and Send to GA4- Tracking if users are viewing a particular section, image, banner etc.- Introduction to Data Layer- Using Data Layer with GTM- Pulling Values from Data Layers- Dynamic Data Addition in Data Layer and using custom event in GTM- Custom HTML Tag - Executing HTML and JavaScript- Share Containers - Export and Import GTM ContainersEmail MarketingTopics you will learn in this part:- Why Email Marketing Is Important For Your & Your Business- Creating Your Free MailerLite Account- Knowing The MailerLite Interface- First Step: Identify Your Customer's Needs- What Are The Strategies For Building Your Email List?- What is a Lead Magnet and How It Will Help To Grow Subscriptions Exponentially- Types of Lead Magnets and How To Choose The Best One For You- Best Practices When Creating A Lead Magnet- EBook - How to Create an irresistable Lead Magnet- Video Series - How to Create an Irrresistable Lead Magnet- PDF or Report - How to Create an Irrresistable Lead Magnet- Subscriber Management Overview on MailerLite- Creating Groups on MailerLite- Using Segments on MailerLite- Importing or Exporting subscribers on MailerLite- Remove inactive subscribers on MailerLite- What is a Landing Page- Creating an Irresistable Landing Page To Attract More Clients- Creating Subscription Forms In MailerLite- Adding a subscription form to your website- Introduction to Email Automation- Planning Your Email Sequence Like a Pro- Creating An Email Sequence in MailerLite for new customers- Activating and Testing your email automation- Analyzing your Campaign Data.- Anti- SPAM Policy. Keeping Your account healthy.- What Is A/B Testing And Why Is It Important?- How to Plan Your A/B Test Campaign- How to Create An A/B Text In MailerLite Step By Step- What 14 studies say about the best day to send email- The style you'll use in your emails- 10 ways to ensure your emails are mobile friendly.- Personalizing Your Email Content- How to Get Support from MailerLiteContent Marketing with AITopics you will learn in this part:- Welcome to the Content Marketing Course- What is Content Marketing & Why is it Important?- A Brief Overview of Content Formats & Platforms- How Does a Content Marketing Funnel work?- What is Your Brand's Purpose?- How to Position Your Brand?- What is Your Unique Selling Proposition?- Choose Your Brand Personality- Who is Your Target Audience?- Understand Your Audience's Pain Points to Improve Your Content- Where Does Your Audience 'Live' Online?- Create Customer Personas and Create Content for Them- Create an Ideation System to Ramp up Your Content Creation- Content Marketing Case Study: Idea Brainstorm- Content Marketing Case Study: Idea Research- Ask Your Audience to Get Great Content Marketing Ideas- What Content Marketing Formats Are There?- Content Marketing Case Study: Audio- Content Marketing Case Study: Social Media- Repurposing Your Content to Save Time and Make Life Easier- Introduction to this Section | Content Marketing Course- Write Great Content | Tips for Improving Your Written Content Marketing- Make Great Video Content | Tips for Improving Your Video Content Marketing- Make Great Visual Content | Tips for Improving Your Visual Content Marketing- Make Great Audio Content | Tips for Improving Your Audio Content Marketing- Make Great Social Media Content | Tips for Improving Your Social Media Content Marketing- Create a Marketing Plan & Content Schedule- Where Should You Post Articles?- Where Should You Post Video Content?- Where Should You Post Audio Content?- Where Should You Post Visual Content?- Introduction to this Section | Content Marketing Course- Boost Social Media Engagement- Promote Content with Email- Promote Content by Word of Mouth- Promote Content with Traditional Marketing Techniques- Promote Content with Collaborations- Promote Content with Paid Advertising- Adjust and Improve Your Content Marketing- Introduction to the ChatGPT Section- How to Sign Up for ChatGPT and 5+ Tips to Get the Best ChatGPT Results- Find Keywords & Content Ideas with ChatGPT- Create Article, Video, Podcast Outlines with ChatGPT- Write an Entire Article with ChatGPT- Generate Catchy Titles & Headlines with ChatGPT- Come Up with Great Social Media Post Ideas with ChatGPT- Write Social Media Post Copy with ChatGPT (Instagram, Facebook, etc)- Create Engaging Polls & Quizzes with ChatGPT- Create Fun Facts, Inspirational Quotes and Jokes on any Topic with ChatGPT- Great Trending Youtube Video Ideas with ChatGPT- Write a Video Script with ChatGPT- Generate Youtube Video Tags with ChatGPT- Write a Youtube Video Descriptions with ChatGPT- Improve Your Closed Captions on Youtube with ChatGPT- Research Podcast Ideas & Come Up with a Catch Podcast Name with ChatGPT- Outline & Script Podcast Episodes with ChatGPT- Brainstorm Interview Questions & Find Potential Podcast Guests with ChatGPTWordPress: Create Stunning WordPress Websites for BusinessTopics you will learn in this part:- Using AI to create a professional website in minutes- Customizing Your Website with AI- What is a Domain?- Finding the perfect Domain Name- What is Web Hosting?- Signing for Web Hosting- Accessing the control panel- WordPress Installation- What are Themes?- Installing our Theme- Customizing our Theme- Creating Menus- Creating Posts- Creating PagesThank you so much for checking out my course. I look forward to seeing you in the course. So wait no more!Click on the 'Buy now' button and join my course today!! Also check out my other courses!! Overview Section 1: Google Ads Overview Lecture 1 Google Ads Overview, Where Google Ads Appear, Google Ads Account Setup. Lecture 2 Google Ads Auction, Google Network, Ad Rank, Quality Score Lecture 3 Google Ads Account Structure, Google Ads Metrics, Google Ads Account Navigation Lecture 4 SEARCH CAMPAIGN CREATION Section 2: Introduction to Keywords Lecture 5 Keywords Research, Keyword Selection, Keyword Planner Tool Lecture 6 Keyword Match Types Lecture 7 Negative Keywords, Negative Keyword Lists Lecture 8 Search Terms Section 3: Introduction To Ads & Extensions Lecture 9 Google Ads Formats Overview Lecture 10 Responsive Search Ad Lecture 11 Dynamic Search Ad Lecture 12 Responsive Display Ad Lecture 13 Call Ad Lecture 14 Google Ads Extensions Overview Lecture 15 Sitelink Extensions Lecture 16 Call Extensions Lecture 17 Callout Extensions Lecture 18 Location Extensions Lecture 19 Structured Snippet Extensions Lecture 20 Price Extensions Lecture 21 Promo Extensions Lecture 22 App Extensions Lecture 23 Business Name & Logo Lecture 24 Lead Form Extensions Lecture 25 Keyword Insertion Lecture 26 Countdown Lecture 27 Location Insertion Section 4: Bidding Strategies Lecture 28 Bidding Strategy Overview Lecture 29 Manual CPC Lecture 30 Maximize Clicks Lecture 31 Maximize Conversions Lecture 32 Maximize Conversion Value Lecture 33 Target Impression Share Lecture 34 Target CPA Lecture 35 Target ROAS Lecture 36 Enhanced CPC Lecture 37 CPM Bidding Lecture 38 CPV Bidding Section 5: Introduction to Display Network Lecture 39 Display Network Overview Lecture 40 Display Targeting - Affinity Lecture 41 Display Targeting - Demographics Lecture 42 Display Targeting - Detailed Demographics Lecture 43 Display Targeting - In-Market Lecture 44 Display Targeting - Life Events Lecture 45 Display Targeting - Topic Lecture 46 Display Targeting - Placement Lecture 47 Display Targeting - Keywords Lecture 48 Display Targeting - Custom Audiences Lecture 49 Display Targeting - Combined Audiences Lecture 50 STANDARD DISPLAY CAMPAIGN CREATION Section 6: Introduction to Conversion Tracking Lecture 51 What is Conversion Tracking & How to setup Conversion Tracking Lecture 52 Website Conversion Tracking Lecture 53 App Conversion Tracking Lecture 54 Phone Call Conversions Lecture 55 Import - Google Analytics Lecture 56 Measurement - Attribution Section 7: Introduction to Remarketing Lecture 57 Remarketing Overview Lecture 58 Audience Manager Lecture 59 REMARKETING CAMPAIGN CREATION Lecture 60 App Users Lecture 61 Youtube Remarketing Lecture 62 Customer List Lecture 63 Custom Combinations Lecture 64 Google Analytics Lecture 65 Lead Form Segment Section 8: Introduction to Video Ads Lecture 66 YouTube Overview Lecture 67 YOUTUBE INSTREAM AD CAMPAIGN CREATION Lecture 68 VIDEO DISCOVERY AD CAMPAIGN CREATION Lecture 69 BUMPER AD CAMPAIGN CREATION Lecture 70 15 SEC NON-SKIPPABLE AD CAMPAIGN CREATION Lecture 71 AD SEQUENCE CAMPAIGN CREATION Lecture 72 TARGET FREQUENCY CAMPAIGN CREATION Lecture 73 AUDIO ADS CAMPAIGN CREATION Section 9: Introduction to Shopping Ads Lecture 74 Shopping Ads Overview, Google Merchant Center Account Lecture 75 Google For Retail Account Creation Lecture 76 SHOPPING ADS CAMPAIGN CREATION Section 10: Introduction to Performance Max Lecture 77 Performance Max Campaign Creation Section 11: Introduction Mobile App Campaign, Smart Campaign, Demand Gen Campaign Lecture 78 UNIVERSAL APP CAMPAIGN CREATION Lecture 79 SMART CAMPAIGN CREATION Lecture 80 DEMAND GEN CAMPAIGN CREATION Section 12: Introduction to Reports Lecture 81 Predefined Reports, Saved Reports, Dashboards Section 13: Introduction to Shared Library Lecture 82 Audience Manager Lecture 83 Location Groups Lecture 84 Exclusion Lists Lecture 85 Asset Library Lecture 86 Brand Lists Section 14: Introduction to Bulk Actions Lecture 87 Rules Lecture 88 Scripts Lecture 89 Solutions Section 15: Budgets & Bidding Lecture 90 Shared Budgets Lecture 91 Bid Strategies Lecture 92 Adjustments Section 16: Introduction to Planning Lecture 93 Keyword Planner Tool Lecture 94 Performance Planner Lecture 95 Reach Planner Lecture 96 App Advertising Hub Section 17: Introduction to More Tools Lecture 97 Google Tag Lecture 98 Content Suitability Lecture 99 Business Data - Ad Customizers Lecture 100 Business Data - Page Feed Lecture 101 Business Data - Dynamic Ad Feed Lecture 102 Policy Manager, Access & Security, Linked Accounts, Preferences Lecture 103 Ad Preview And Diagnosis Tool Section 18: Google Ads with Google Gemini AI Lecture 104 Google Ads with Google Gemini AI Section 19: Drafts & Experiments Lecture 105 Drafts & Experiments Section 20: Introduction to Billing Lecture 106 Summary, Documents, Transactions, Settings, Promotions Section 21: Introduction to Google Ads Editor Lecture 107 Google Ads Editor - Practical Implementation Section 22: Introduction to Manager Accounts Lecture 108 Manager Accounts/My Client Center Overview Section 23: Google Ads Online Resources Lecture 109 Google Ads HelpCenter, Policy HelpCenter, Google Ads Blog, Search Engine Land Section 24: Google Ads Certifications Lecture 110 Google Ads Skillshop Certification Section 25: Google Ads Assignment Section 26: Facebook Marketing Lecture 111 Facebook Marketing - What we will cover Lecture 112 Why to Use Facebook To Market Your Business Lecture 113 How to Create A Facebook Page Lecture 114 How to Create A Facebook Profile Image Lecture 115 How to Design A Facebook Cover Image Lecture 116 How to Update Your Pages Info And Preferences Lecture 117 How to Post About On Your Facebook Page Lecture 118 How to Promote Your Page And Get Likes & Engagement Lecture 119 What is The Difference Between Likes and Followers Section 27: Introduction to the Community Lecture 120 What is an Online Community? Lecture 121 Why Should You Start an Online Community? Lecture 122 Recommend Tools and Apps for Creating an Online Community Lecture 123 How to Grow Your Online Community Lecture 124 How to Create More Engagement in Your Community Lecture 125 Quick Tips for Increasing Engagement Lecture 126 Best Types of Posts to share in Your Community Lecture 127 Make Consistent Posting Easier Lecture 128 Content Tools & Apps I Use to Create and Automate Posts Lecture 129 Make Your Posts Count More and Increase Engagement Lecture 130 Use Analytics to Grow Your Community Section 28: Facebook Ads Basics Lecture 131 Facebook Ads Basics - What We will Cover Lecture 132 How Powerful Are Facebook Ads? Lecture 133 How Do Facebook Ads Work - The Auction Lecture 134 Facebook Ad Structure Lecture 135 How To Set Up Your Facebook Ads Account Lecture 136 Facebook Ads Metrics Lecture 137 Facebook Ads - Account Navigation Section 29: Facebook Ads Campaign Creation Lecture 138 Ad Creation - What We will Cover Lecture 139 Create Your First Ad - Campaign Objectives Lecture 140 Budget & Schedule Lecture 141 Advantage Campaign Budget Lecture 142 Audience Targeting - Location, Age & Gender Lecture 143 Detailed Targeting - Demographics Lecture 144 Detailed Targeting - Interest Lecture 145 Detailed Targeting - Behaviours and Connections Lecture 146 Placements + Optimisation and Delivery Lecture 147 Creating Your Facebook Ad Creative Lecture 148 How To Set Up A Simple A/B Split Test Section 30: Facebook Pixel Setup Lecture 149 Facebook Pixel Lecture 150 Conversions API in Meta Lecture 151 Meta Pixel + Shopify Section 31: Facebook Ads Bidding Lecture 152 Facebook Ads Bidding Strategy Section 32: Custom Audiences Lecture 153 Custom Audiences - Website Visitors Lecture 154 Custom Audiences - Customer/Email List Lecture 155 Custom Audiences - Facebook Page Lecture 156 Custom Audiences - Lookalike Audiences Section 33: Facebook Ads Video Campaign Lecture 157 Why to Use Video In Facebook Ads Lecture 158 Create Facebook Video Ad Campaign Section 34: Facebook Ads Lead Gen Campaign Lecture 159 How To Create Lead Gen Campaign Section 35: Facebook Ads App Campaign Lecture 160 App Promotion Campaign Section 36: Facebook Ads Brand Campaign Lecture 161 Brand Awareness Campaign Section 37: Facebook Ads Traffic Campaign Lecture 162 Website Traffic Campaign Section 38: Facebook Ads Sales Campaign Lecture 163 Online Sales Campaign Section 39: Facebook Ads Strategy Lecture 164 Facebook Ads Strategy - 1 Lecture 165 Facebook Ads Strategy - 2 Lecture 166 Facebook Ads Strategy - 3 Section 40: Facebook Business Manager Lecture 167 Meta Business Suite Section 41: Facebook Ads Policies Lecture 168 Facebook Ad Policies Lecture 169 Banned Ads/Accounts Section 42: Facebook Ads Tailored Campaigns Lecture 170 Tailored Web Traffic Campaign Lecture 171 Tailored Leads Campaign Section 43: Facebook Ads for E-Commerce Lecture 172 Commerce Manager Section 44: Facebook Ads Tools Lecture 173 Facebook Ads Automated Rules Lecture 174 Facebook Ads Experiments Lecture 175 Facebook Ads Placements Lecture 176 Facebook Ads Media Library Section 45: Meta Ads With AI Lecture 177 Meta Ads With AI Section 46: Reports Lecture 178 Facebook Ads Reports Section 47: Facebook Ads Billing Lecture 179 Facebook Ads Billing Section 48: Certification Lecture 180 Facebook Ads Certification Section 49: Facebook Ads Quiz Section 50: Facebook Ads Assignment Section 51: Microsoft Ads Overview Lecture 181 Microsoft Ads Overview, Where Microsoft Ads Appear, Microsoft Ads Account Setup Lecture 182 Microsoft Ads Account Structure, Microsoft Ads Metrics, Microsoft Ads Account Na Lecture 183 SEARCH CAMPAIGN CREATION Section 52: Introduction to Keywords Lecture 184 Keywords Research, Keyword Selection, Keyword Planner Tool Lecture 185 Keyword Match Types Lecture 186 Negative Keywords, Negative Keyword Lists Lecture 187 Search Terms Section 53: Introduction to Ads & Extensions Lecture 188 Microsoft Ads Formats Overview Lecture 189 RSA Lecture 190 App Install Ad Lecture 191 Multimedia Ad Lecture 192 Microsoft Ads Extensions Overview Lecture 193 Action Extensions Lecture 194 App Extensions Lecture 195 Call Extensions Lecture 196 Callout Extensions Lecture 197 Filter Link Extensions Lecture 198 Image Extensions Lecture 199 Location Extensions Lecture 200 Price Extensions Lecture 201 Promotion Extensions Lecture 202 Review Extensions Lecture 203 Sitelink Extensions Lecture 204 Structured Snippet Extensions Lecture 205 Video Extensions Section 54: Introduction to Bidding Lecture 206 Bidding Strategies Lecture 207 Maximize Clicks Lecture 208 Maximize Conversions Lecture 209 Target Impression Share Lecture 210 Target CPA Lecture 211 Target ROAS Lecture 212 Enhanced CPC Section 55: Introduction to Microsoft Audience Network Lecture 213 Audience Network Overview Lecture 214 Audience Segments - In-Market Lecture 215 Audience Segments - Remarketing Lists Lecture 216 Audience Segments - Combined Lists Section 56: UET and Conversion Tracking Lecture 217 Conversion Tracking Overview Lecture 218 How to Setup UET Tag Lecture 219 Offline Conversions Section 57: Introduction to Remarketing Lecture 220 Remarketing Overview Lecture 221 REMARKETING CAMPAIGN CREATION - Practical Lecture 222 Audience Segments - Dynamic Remarketing Lists Section 58: Introduction to Shopping Ads Lecture 223 Shopping Ads Overview, Microsoft Merchant Center Store Lecture 224 Setting up Microsoft Merchant Center Feed - Practical Section 59: Introduction to Mobile App Campaign Lecture 225 Mobile App Campaign Creation - Practical Section 60: Introduction to Reports Lecture 226 Dimensions, Reports, Saved Custom Reports - Practical Section 61: Introduction to Shared Library Lecture 227 Business Location Feed Lecture 228 Performance Targets Lecture 229 Website Exclusion Lists - Practical Lecture 230 Shared Budgets - Practical Lecture 231 Portfolio Bid Strategies Lecture 232 Labels Lecture 233 Seasonality Adjustment Lecture 234 Microsoft Store Ads Section 62: Bulk Actions & Apps Lecture 235 Automated Rules Lecture 236 Microsoft Advertising Editor Section 63: Introduction to Planning Lecture 237 Ad Preview & Diagnostic - Practical Section 64: Introduction to Import Lecture 238 Import from Google Ads, Import from file, Import Schedule & History Section 65: Experiments Lecture 239 Experiment Campaign Creation Section 66: Introduction to Billing Lecture 240 Billing Summary, Transactions, Payment Methods, Insertion Orders, Billing Settin Section 67: Agency Management Lecture 241 Manage clients as an agency on Microsoft Advertising Section 68: Microsoft Ads Resources Lecture 242 Microsoft Advertising Help Center, Microsoft Ads Policies, Microsoft Advertising Section 69: Microsoft Ads Certifications Lecture 243 Microsoft Advertising Certified Professional - Practical Section 70: Microsoft Ads Practice Tests Section 71: LinkedIn Ads Overview Lecture 244 LinkedIn Ads Overview, How LinkedIn Ads Work, LinkedIn Ads Account Setup. Lecture 245 Linkedin Ads Auction, Bid Price & Relevancy Score Lecture 246 LinkedIn Ads Account Structure, LinkedIn Ads Metrics, LinkedIn Ads Account Navig Lecture 247 Website Visits Campaign Creation Section 72: Ad Formats Lecture 248 Single Image Ad Lecture 249 Carousal Image Ad Lecture 250 Video Ad Lecture 251 Text Ad Lecture 252 Spotlight Ad Lecture 253 Document Ad Lecture 254 Conversation Ad Lecture 255 Event Ad Lecture 256 Follower Ad Lecture 257 Job Ad Section 73: Bidding Strategy Lecture 258 Bidding Strategy Section 74: LinkedIn Audience Templates Lecture 259 Audiences Overview Lecture 260 Locations Lecture 261 Audience Attributes Lecture 262 Matched Audiences Section 75: Conversion Tracking Lecture 263 What is Conversion Tracking & How to setup Conversion Tracking Lecture 264 Sitewide Insight Tag Page Load conversion Lecture 265 Event specific Insight Tag conversion Lecture 266 Event specific pixel conversion Section 76: Retargeting Lecture 267 Retargeting Overview Lecture 268 Retargeting Campaign Creation Section 77: Lead Gen Lecture 269 LinkedIn Lead Generation Ad Campaigns Lecture 270 View and download leads, metrics, and analytics for Lead Gen Form campaigns Section 78: Dynamic Ad Lecture 271 LinkedIn Dynamic Ad Campaign Creation Section 79: Carousal Image Ad Lecture 272 LinkedIn Carousel Image Ad Campaign Section 80: Conversation Ad Lecture 273 Conversation Ad Campaign Section 81: Message Ad Lecture 274 LinkedIn Message Ad Campaign Section 82: Document Ad Lecture 275 Document Ad Campaign Section 83: Video Ad Lecture 276 LinkedIn Video Ad Campaign Section 84: Event Ad Lecture 277 LinkedIn Event Ad Campaign Section 85: Direct Sponsored Content Lecture 278 LinkedIn Direct Sponsored Content Single Image Ad Campaign Section 86: Reports Lecture 279 How to use Reports in LinkedIn Section 87: Billing Lecture 280 Billing Center Section 88: Business Manager Lecture 281 Business Manager Overview Section 89: Certification Lecture 282 LinkedIn Ads Certification Section 90: SEO Introduction Lecture 283 Welcome Video Section 91: SEO The Basics Lecture 284 What is SEO And why is it important? Lecture 285 Debunking SEO Myths Lecture 286 2 elements that make up an SEO Campaign - Onpage/Offpage SEO Section 92: Create Your Site Lecture 287 Need For A Website Lecture 288 Technical Terms Lecture 289 Basic Requirements Lecture 290 Essential Pages Needed Section 93: Keyword Research Lecture 291 What is a Keyword + Understanding The Intent Behind It Lecture 292 Short Tail Vs Long Tail Keywords Lecture 293 How to access the Google Keyword Planner tool Lecture 294 How to find out what keywords your website already appears for - SEMRush Lecture 295 How to determine keyword difficulty - Mozbar Lecture 296 How to find all the keywords your competitors rank for - SEMRush Lecture 297 How to use Google Auto Suggest to come up with keyword ideas + Keywordtools.io Lecture 298 The imortance of keeping your keywords orgranised - Remove irrelevant, duplicate Lecture 299 How to validate your keywords using Google Trends Section 94: Content Creation Lecture 300 Importance of Content in SEO Lecture 301 Content Generation Ideas - Review The Competition Lecture 302 Content Generation Ideas - SEMRush Lecture 303 Content Generation Ideas - Industry Related Blogs Lecture 304 What to Avoid When Creating Content Lecture 305 Importance of Fresh Content in SEO Lecture 306 How long should your content be? Section 95: Onpage SEO Lecture 307 What is onpage SEO? Lecture 308 The 3 Kings Every Website Has Lecture 309 Optimizing For The First King Lecture 310 Optimizing For The Second King Lecture 311 Optimizing For The Third King Lecture 312 Image ALT Tag For SEO Lecture 313 What is Internal Linking + How To Add Internal Links On Your Website Section 96: Offpage SEO Lecture 314 What is a Backlink and Why are they important Lecture 315 What is Anchor Text & Why Does it play a crucial role in Link Building Lecture 316 What Anchor types does your website need? Lecture 317 What pages should you build backlinks to? Lecture 318 Dofollow VS Nofolllow links + Real-Time Walk Through Showing Lecture 319 How To find Out What Backlinks Your Website Already Has Lecture 320 How to Determine What makes a good Backlink Lecture 321 A Theoritical Framework on Backlinks Lecture 322 Link Building Strategy 1 - Guest Posting Lecture 323 Link Building Strategy 2 - Steal Your Competitors Backlinks Lecture 324 Link Building Strategy 3 - Forums Lecture 325 Link Building Strategy 4 - Resource Pages Lecture 326 Link Building Strategy 5 - Broken Links Lecture 327 Link Building Strategy 6 - Skyscraper Technique Lecture 328 Link Building Strategy 7 - Reverse Image Search Lecture 329 Link Building Strategy 8 - Relevant Blog commenting Lecture 330 Link Building Strategy 9 - Social Profiles Section 97: Technical SEO Lecture 331 HTTP Vs HTTPS Lecture 332 How To Setup Google Search Console Lecture 333 How To Set Up A Google Analytics Account & Install The Code Lecture 334 What Is Duplicate Content & How To Check Your Website For It Lecture 335 What Is A 404 Page And How To Find Them On Your Website Section 98: Speeding Up Your Wordpress Website Lecture 336 The Correlation Between Site Speed And Rankings Lecture 337 How To Test Your Websites Page Speed Lecture 338 Web Hosting And Servers Lecture 339 How to Speed Up Your Wordpress Website Section 99: User Experience Lecture 340 What Is User Experience (UX) & How To Improve Your Website's US Lecture 341 User Metrics That Can Affect Your Rankings - Organic CTR - Part 1 Lecture 342 User Metrics That Can Affect Your Rankings - Dwell Time - Part 2 Lecture 343 User Metrics That Can Affect Your Rankings - Bounce Rate - Part 3 Lecture 344 What Is Negative SEO And How To Identify It Section 100: Google Algorithms To Be Aware Of Lecture 345 Google Panda Lecture 346 Google Penguin Lecture 347 Google Hummingbird Section 101: Measuring Your Progress Lecture 348 How To Keep Track Of All Your Backlinks Lecture 349 How Long Does It Take To See Results Lecture 350 The 3 Biggest Culprits That Prevent Your Website From Ranking Lecture 351 How To Find Out How Much Traffic Your Website Gets Lecture 352 How To Find Out What Country Your Traffic Is Coming From Lecture 353 How To Find Out What Pages Are The Most Popular On Your Website Lecture 354 Events And Conversions Section 102: Levelling Up Your SEO Knowledge Lecture 355 Topical Relevancy Lecture 356 Tiered Link Building Lecture 357 Google AI & Machine Learning Section 103: Introduction To Manual SEO Audits Lecture 358 What Is an SEO Audit + How Google Works Lecture 359 What Tools Can You Use For An SEO Audit? Lecture 360 Crawling Your Website - An Overview Lecture 361 URLs + 404 Pages + Optimized URLs Lecture 362 Page Titles Lecture 363 Meta Descriptions Lecture 364 Heading Tags (H1 & H2s) Section 104: Competitor Research Lecture 365 Competitors Section 105: URL Structure for SEO Lecture 366 Do Keywords In Domain Or Exact Match Domains Matter? Lecture 367 URL Folder And Page Names Structures for SEO Section 106: Google Analytics for SEO and Website Usability Lecture 368 Google Analytics 4 for SEO Lecture 369 Diving A Little Deeper Into Google Analytics 4 Lecture 370 Demo Of Google Analytics For A Google Website and Custom Reports Lecture 371 How To Use The Google Search Console and Google Analytics Together Section 107: Google Search Console SEO Tools To Check Search Performance And Indexing Lecture 372 Disclaimer: In Case You Don't Have A Website Yet Lecture 373 Setting Up Your Google Search Console for SEO Lecture 374 Google Crawler, Google Indexing And Creating Your Sitemap.xml for SEO Lecture 375 Submitting New URLs and Checking For Page Status And Indexing For SEO Lecture 376 What If Your Page Doesn't Get Indexed By Google Lecture 377 Where Your Pages Are Ranking And Page/Query Performance In SEO Lecture 378 User Experience Section Of Google Search Console Lecture 379 Google Core Web Vitals For SEO Lecture 380 Google Search Console Exercise Lecture 381 Google Search Console Exercise - Answer Section 108: Finding And Removing Duplicate Content and Thin Content To Help Your SEO Lecture 382 Ways Of Dealing With Thin or Bad Content and Whats Really Duplicate Lecture 383 Finding Pages to Improve or Delete By Using The Google Search Console Lecture 384 Identifying And Getting Rid of Bad Pages Lecture 385 Ways To Find Duplicate Content Lecture 386 Finding Duplicate Content Within Your Pages Section 109: How To Get .edu links From Authoritative Univerisities To Boost SEO Lecture 387 Introduction to .edu link, And Which Are Good and Bad Lecture 388 How To Get Edu Links With Internships Lecture 389 How To Get Edu Links With Scholarship Lecture 390 Edu Link Exercise Lecture 391 Edu Link Exercise - Answer Section 110: Other SEO Backlink Strategies Lecture 392 Linkable Asset For SEO To Make Your Link Building Easier Lecture 393 Link-Begging Script Example You Can Use To Get Links For SEO Lecture 394 How To Get Backlinks for SEO From Events Lecture 395 How To Use Events To Build Links Lecture 396 RadioGuestList For Link Building Lecture 397 HARO For Link Building And Publicity Lecture 398 LinkBuilding Exercise Lecture 399 LinkBuilding Exercise - Answer Section 111: Link Building And Boosting SEO With Memes Lecture 400 Introduction to Link Building With Memes Lecture 401 How To Begin Finding Viral Memes To Post On Your Social Media Lecture 402 How To Create Your Own Image Memes In Minutes And For Free Lecture 403 How To Create Your Own Gifs To Go Viral Section 112: Local Google SEO and Google Map Ranking Lecture 404 Introduction To Local SEO for Inbound Marketing Lecture 405 Anatomy Of a Local SEO Search Result To See If As Google Or As An SEO Marketer Lecture 406 How To Get On The Google Map SEO search results Lecture 407 Ranking For Local SEO Searches Through Local Business Listing Directories Lecture 408 Last Words On Local SEO and Doing Local SEO Anywhere Else In The World Section 113: Practice Tests Section 114: The SEO Course Assignment Section 115: Introduction Lecture 409 Why Email Marketing Is Important For Your & Your Business Section 116: Email Marketing: First Steps Lecture 410 Creating Your Free MailerLite Account Lecture 411 Knowing The MailerLite Interface Section 117: Strategies To build An Email List From Scratch Lecture 412 First Step: Identify Your Customer's Needs Lecture 413 What Are The Strategies For Building Your Email List? Section 118: Creating A Lead Magnet That Attracts Thousands Of Clients Lecture 414 What is a Lead Magnet and How It Will Help To Grow Subscriptions Exponentially Lecture 415 Types of Lead Magnets and How To Choose The Best One For You Lecture 416 Best Practices When Creating A Lead Magnet Lecture 417 EBook - How to Create an irresistable Lead Magnet Lecture 418 Video Series - How to Create an Irrresistable Lead Magnet Lecture 419 PDF or Report - How to Create an Irrresistable Lead Magnet Section 119: Subscriber Management on MailerLite Lecture 420 Subscriber Management Overview on MailerLite Lecture 421 Creating Groups on MailerLite Lecture 422 Using Segments on MailerLite Lecture 423 Importing or Exporting subscribers on MailerLite Lecture 424 Remove inactive subscribers on MailerLite Section 120: Landing Pages: Creating A Landing Page that Converts Lecture 425 What is a Landing Page Lecture 426 Creating an Irresistable Landing Page To Attract More Clients Section 121: Subscription Forms: Capturing Visitors From Your Website Lecture 427 Creating Subscription Forms In MailerLite Lecture 428 Adding a subscription form to your website Section 122: Email Automation in MailerLite Lecture 429 Introduction to Email Automation Lecture 430 Planning Your Email Sequence Like a Pro Lecture 431 Creating An Email Sequence in MailerLite for new customers Lecture 432 Activating and Testing your email automation Section 123: Campaign Statistics: Using the data to grow Lecture 433 Analyzing your Campaign Data. Lecture 434 Anti- SPAM Policy. Keeping Your account healthy. Section 124: How to A/B Test your Email Campaigns Lecture 435 What Is A/B Testing And Why Is It Important? Lecture 436 How to Plan Your A/B Test Campaign Lecture 437 How to Create An A/B Text In MailerLite Step By Step Section 125: What is the Best Day and Time To Send Your Emails? Lecture 438 What 14 studies say about the best day to send email Section 126: Deciding the Format & Style Of Your Emails Lecture 439 The style you'll use in your emails Lecture 440 10 ways to ensure your emails are mobile friendly. Lecture 441 Personanlizing Your Email Content Section 127: Support from MailerLite Lecture 442 How to Get Support from MailerLite Section 128: Introduction Lecture 443 Welcome Video Section 129: The Basics + Set Up Lecture 444 What is Google Analytics and Why Is It Important? Lecture 445 How To Set Up A Google Analytics Account & Install the Tracking Code Lecture 446 How To Prevent Inflating Your Traffic Data Lecture 447 How To Access The Demo Content Lecture 448 Google Analytics Dashboard Walkthrough Section 130: Analyzing The Data Lecture 449 How To Find Out How Much Traffic Your Website Gets Lecture 450 How To Find Out What Country Your Traffic Is Coming From Lecture 451 How To Find Out What Pages Are The Most Popular On Your Website Lecture 452 Learn Who Your Visitors Are - Demographics Reports Lecture 453 How To Find Out What Sources & Channels Send You The Highest Quality Traffic Lecture 454 Real Time Reports - How To Measure Marketing Performances Live Lecture 455 Analyzing DAU, WAU and MAU Section 131: Goal Setting & Tracking Lecture 456 Events and Conversions Lecture 457 How To Track Form Submissions Lecture 458 How To Track Results From Specific Marketing Activities Section 132: Google Analytics 4 - Practical Tips Lecture 459 Browser's Language Lecture 460 Location Data Lecture 461 Browser's Conversion Rate Lecture 462 Device Category Lecture 463 Screen Resolution Lecture 464 Page Speed Insights Lecture 465 Mobile Operating System Lecture 466 Landing Pages Lecture 467 Paid Traffic And Landing Pages Lecture 468 Site Search Data Section 133: Analysis: Traffic Volume Lecture 469 Lets Analyze Beginner Traffic Data Lecture 470 Where are Your Users Coming From Section 134: Analysis: Traffic Relevance Lecture 471 Demographics Of Your Target Audience Lecture 472 Devices and Technology of Your Visitors Lecture 473 Finding Useful Details About the User Lecture 474 Identifying Overlapping Segments Of Your Visitors Section 135: Analysis: How Google Analytics 4 Works Lecture 475 How Google Analytics 4 Works Lecture 476 Page-Level Analysis of Your Website Lecture 477 Cohort Analysis - Granular Analysis Lecture 478 More Data on Business Goals Lecture 479 Business Goal Analysis With Monetization Reports Lecture 480 Revisitng the Monetization Reports Section 136: Customization: Custom Reports & Data Studio Introduction Lecture 481 Customized Tabular Reports In GA4 Lecture 482 Google Looker Studios Basics Section 137: Implementation: Google Analytics 4 with Tag Manager Lecture 483 Create a new Google Tag Manager Account Lecture 484 Link The Website, Google Analytics 4 amd Google Tag Manager Section 138: Reports Lecture 485 Campaign Tracking Lecture 486 Campaign URL Builder Lecture 487 Retention Reports Lecture 488 GA4 Explore Overview Section 139: Google Analytics 4 Course Assignment Section 140: Introduction to Google Tag Manager Lecture 489 Welcome Video Lecture 490 What is Google Tag Manager and Why Do You Need it Section 141: Google Tag Manager Installation and Browser Set Up Lecture 491 Useful Chrome Plugins For Working With Google Tag Manager Lecture 492 Create a Google Tag Manager Account Lecture 493 The Overview of 5 Google Tag Manager Installation Methods Lecture 494 Setup Google Tag Manager on Wix Lecture 495 Setup Google Tag Manager on Wordpress Lecture 496 Setup Google Tag Manager on Shopify Lecture 497 Setup Google Tag Manager on Squarespace Lecture 498 Inject Google Tag Manager Container to any Website Section 142: Google Tag Manager Interface Overview and Best Practices Lecture 499 GTM Interface Overview Lecture 500 Best Practices & Considerations Lecture 501 Naming Conventions Section 143: Setup Essential Tags and Publish Them Lecture 502 Google Analytics 4 Setup & Publishing The First Version Lecture 503 Google Ads Remarketing Setup Lecture 504 Testing & Debugging Before Publishing a New Version Lecture 505 Facebook Pixel Setup Lecture 506 Copy Tag and Export Container Lecture 507 Troubleshooting Problems You Might Encounter Section 144: Improving & Expanding Your Tracking Data Lecture 508 Time Triggered Tags Part 1: Custom Facebook Events For Remarketing Lecture 509 Time Triggered Tags Part 2: Time on Site With Google Events Lecture 510 Scroll Distance Tracking Part 1: The Basic Lecture 511 Scroll Distance Tracking Part 2: Time Triggered Lecture 512 Click Tracking Part 1: Outbound Links Lecture 513 Conversion Tracking Part 1: Simple Google Ads Conversion Tracking Section 145: Getting Started - Tags, Triggers and Variables Lecture 514 Trigger Types in Google Tag Manager Lecture 515 Built in Variables Lecture 516 User-Defined Variables Section 146: Implementing Tags Via Google Tag Manager Lecture 517 Implementing GA4 Event Tag with GTM Lecture 518 Creating a Specific Page Trigger Lecture 519 Storing Measurement ID in User-Defined Variable Lecture 520 Tracking Clicks & Sending to GA4 Lecture 521 Adding Details about Clicks and Sending to GA4 Events Lecture 522 Track Button Clicks in GA4 via GTM Lecture 523 Capture JavaScript Errors with GTM and Send to GA4 Lecture 524 Tracking if users are viewing a particular section, image, banner etc. Lecture 525 Introduction to Data Layer Lecture 526 Using Data Layer with GTM Lecture 527 Custom HTML Tag - Executing HTML and JavaScript Section 147: Google Tag Manager Assignment Section 148: Introduction to Content Marketing Lecture 528 Welcome to the Content Marketing Section 149: Content Marketing Basics Lecture 529 What is Content Marketing & Why is it Important? Lecture 530 A Brief Overview of Content Formats & Platforms Lecture 531 How Does a Content Marketing Funnel Work? Section 150: Content Marketing: Define Your Brand & Purpose Lecture 532 What is Your Brand's Purpose? Lecture 533 How to Position Your Brand Lecture 534 What is Your Unique Selling Proposition? Lecture 535 Choose Your Brand Personality Section 151: Content Marketing: Define Your Target Audience Lecture 536 Who is Your Target Audience? Lecture 537 Understand Your Audience's Pain Points to Improve Your Content Lecture 538 Where Does Your Audience 'Live' Online? Lecture 539 Create Customer Personas and Create Content for Them Section 152: Content Marketing: Come up with Great Content Marketing Ideas Lecture 540 Create an Ideation System to Ramp up Your Content Creation Lecture 541 Content Marketing Case Study: Idea Brainstorm Lecture 542 Content Marketing Case Study: Idea Research Lecture 543 Ask Your Audience to Get Great Content Marketing Ideas Section 153: Content Marketing: Content Marketing Formats Lecture 544 What Content Marketing Formats Are There? Lecture 545 Content Marketing Case Study: Audio Lecture 546 Content Marketing Case Study: Social Media Lecture 547 Repurposing Your Content to Save Time and Make Life Easier Section 154: Content Marketing: Create Amazing Content to Market Your Business Lecture 548 Introduction to this Section | Content Marketing Course Lecture 549 Write Great Content | Tips for Improving Your Written Content Marketing Lecture 550 Make Great Video Content | Tips for Improving Your Video Content Marketing Lecture 551 Make Great Visual Content | Tips for Improving Your Visual Content Marketing Lecture 552 Make Great Audio Content | Tips for Improving Your Audio Content Marketing Lecture 553 Make Great Social Media Content | Tips for Improving Your Social Media Content M Section 155: Content Marketing: Publish Your Content Lecture 554 Create a Marketing Plan & Content Schedule Lecture 555 Where Should You Post Articles? Lecture 556 Where Should You Post Video Content? Lecture 557 Where Should You Post Audio Content? Lecture 558 Where Should You Post Visual Content? Section 156: Content Marketing: Promote Your Content Lecture 559 Introduction to this Section | Content Marketing Course Lecture 560 Boost Social Media Engagement Lecture 561 Promote Content with Email Lecture 562 Promote Content by Word of Mouth Lecture 563 Promote Content with Traditional Marketing Techniques Lecture 564 Promote Content with Collaborations Lecture 565 Promote Content with Paid Advertising Section 157: Content Marketing: Measuring Your Content Marketing Results Lecture 566 Adjust and Improve Your Content Marketing Section 158: Content Marketing with ChatGPT/AI Tools Lecture 567 Introduction to the ChatGPT Section Lecture 568 How to Sign Up for ChatGPT and 5+ Tips to Get the Best ChatGPT Results Lecture 569 Find Keywords & Content Ideas with ChatGPT Lecture 570 Create Article, Video, Podcast Outlines with ChatGPT Lecture 571 Write an Entire Article with ChatGPT Lecture 572 Generate Catchy Titles & Headlines with ChatGPT Lecture 573 Come Up with Great Social Media Post Ideas with ChatGPT Lecture 574 Write Social Media Post Copy with ChatGPT (Instagram, Facebook, etc) Lecture 575 Create Engaging Polls & Quizzes with ChatGPT Lecture 576 Create Fun Facts, Inspirational Quotes and Jokes on any Topic with ChatGPT Lecture 577 Great Trending Youtube Video Ideas with ChatGPT Lecture 578 Write a Video Script with ChatGPT Lecture 579 Generate Youtube Video Tags with ChatGPT Lecture 580 Write a Youtube Video Descriptions with ChatGPT Lecture 581 Improve Your Closed Captions on Youtube with ChatGPT Lecture 582 Research Podcast Ideas & Come Up with a Catch Podcast Name with ChatGPT Lecture 583 Outline & Script Podcast Episodes with ChatGPT Lecture 584 Brainstorm Interview Questions & Find Potential Podcast Guests with ChatGPT Section 159: WordPress: Create Stunning WordPress Websites for Business Lecture 585 Create a PRO Website with AI Lecture 586 Customizing Your Website with AI Lecture 587 What is a Domain? Lecture 588 Finding the perfect Domain Name Lecture 589 What is Web Hosting? Lecture 590 Signing for Web Hosting Lecture 591 Accessing the control panel Lecture 592 Wordpress Installation Lecture 593 What are Themes? Lecture 594 Installing our Theme Lecture 595 Customizing our Theme Lecture 596 Creating Menus Lecture 597 Creating Posts Lecture 598 Creating Pages Section 160: Thank You For Taking This Course! Lecture 599 Thank You! 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Free Download Employee Management System with Jenkins Published: 12/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 32m | Size: 723 MB Building a robust Employee Management System and integrating it seamlessly with Jenkins and Git. What you'll learn How to build an Employee Management System with Java. Best practices for implementing collections, validations, and exception handling. Integrating projects with Git for effective version control. Automating builds and deployments using Jenkins. Ensuring robust application performance through testing and debugging. Requirements Basic understanding of Java programming and object-oriented principles. Familiarity with Git and version control concepts. Basic knowledge of Jenkins is helpful but not mandatory. Description ntroduction:This course empowers you to build a fully functional Employee Management System using Java, implement advanced programming concepts, and integrate the project with Git and Jenkins for version control and continuous integration. Gain hands-on experience in handling exceptions, validations, and collections while ensuring streamlined deployment through Jenkins automation.Section 1: IntroductionBegin your journey with an Overview of the project. Understand the objectives, tools, and technologies involved. By the end of this section, you'll have a solid roadmap for creating and managing the Employee Management System.Section 2: Project - Employee Management System using JenkinsThis section dives deep into the implementation of the project:Creating POJO Class: Learn how to define and structure data models effectively.UI and Collection: Design a user interface and integrate it with Java collections for efficient data handling.Validation and Exception Handling: Implement validation logic using Regex and handle exceptions gracefully, ensuring a robust application.Version Control with Git: Add the project to Git, learning essential version control practices.Continuous Integration with Jenkins: Integrate your project with Jenkins, enabling automated builds and deployments.Output of the Project: Test and review the project's final output to ensure all features function as intended.Conclusion:By the end of the course, you will have developed a comprehensive Employee Management System integrated with Git for version control and Jenkins for automated workflows. This real-world project will enhance your software development and DevOps skills, setting you apart as a well-rounded developer. Who this course is for Java developers looking to advance their skills with real-world projects. Students and professionals interested in combining Java development with DevOps practices. Anyone eager to learn Jenkins integration and streamline their development workflows. Homepage: https://www.udemy.com/course/employee-management-system-with-jenkins/ DOWNLOAD NOW: Employee Management System with Jenkins Download ( Rapidgator ) https://rg.to/file/319c1d0eabe7f5aa86620414f5f29a66/horbe.Employee.Management.System.with.Jenkins.rar.html Fikper https://fikper.com/mRsGhiQeue/horbe.Employee.Management.System.with.Jenkins.rar.html No Password - Links are Interchangeable

Free Download Employee Management System with Advanced JDBC Published: 12/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 5h 43m | Size: 3.2 GB Master JDBC and build a robust Employee Management System with advanced forms, salary management, database operations! What you'll learn How to create a comprehensive Employee Management System using JDBC. Developing forms for adding, updating, deleting, and searching employee records. Designing and integrating advanced modules such as salary management and attendance tracking. Executing CRUD operations with database connectivity. Best practices for developing robust, database-driven Java applications. Requirements Basic knowledge of Java programming and object-oriented principles. Familiarity with SQL and relational database concepts. A Java development environment (e.g., IntelliJ IDEA, Eclipse). Description Introduction:Dive into the world of Java Database Connectivity (JDBC) with this comprehensive course designed to help you develop a feature-rich Employee Management System. Starting from basic project creation to advanced salary management and attendance tracking, this course offers a hands-on approach to mastering JDBC for real-world applications.Section 1: IntroductionThis section introduces the Employee Management System project. You'll gain a clear understanding of the project objectives and an Overview of the functionalities you'll implement. By the end of this section, you'll be prepared to start building your project with confidence.Section 2: JDBC ProjectIn this section, you'll create the core of the Employee Management System by building various forms and features. Step-by-step, you'll:Set up the project environment and design the login form for user authentication.Create forms for adding, updating, deleting, and searching employee records, all integrated with the database.Learn how to design an MDI (Multiple Document Interface) application for seamless navigation.Implement a salary master module for managing employee salary records.Execute and test each feature to ensure the system works flawlessly.Section 3: Advanced JDBC OperationsThis section focuses on more advanced features, such as managing employee attendance and salary generation. You'll:Develop a form for employee attendance entry and integrate it with the database.Create a comprehensive salary generation module to calculate and save monthly salary data.Build a salary view form to display records and ensure seamless reporting.Conclude the project by refining all forms and testing the final output for deployment readiness.Conclusion:By the end of the course, you'll have built a fully functional Employee Management System with advanced features, giving you practical experience in JDBC and Java-based database applications. This project will serve as a portfolio-worthy application, demonstrating your skills in Java development and database management. Who this course is for Java beginners eager to gain practical experience with database-driven applications. Intermediate developers looking to expand their skill set with advanced JDBC techniques. Aspiring software developers seeking to build portfolio-ready projects. Homepage: https://www.udemy.com/course/employee-management-system-with-advanced-jdbc/ DOWNLOAD NOW: Employee Management System with Advanced JDBC Download ( Rapidgator ) https://rg.to/file/16c9c6b0ad078668ddd204da519a2cd7/zfttp.Employee.Management.System.with.Advanced.JDBC.part3.rar.html https://rg.to/file/5966515c3b5ee3a95c427f6b76395921/zfttp.Employee.Management.System.with.Advanced.JDBC.part1.rar.html https://rg.to/file/94d434ce8770af9826ba3f6e9fa9a9ac/zfttp.Employee.Management.System.with.Advanced.JDBC.part2.rar.html https://rg.to/file/d88d345999f9badce66a181c07665550/zfttp.Employee.Management.System.with.Advanced.JDBC.part4.rar.html Fikper https://fikper.com/CazL2g5ikI/zfttp.Employee.Management.System.with.Advanced.JDBC.part1.rar.html https://fikper.com/Vnpe8O74Tx/zfttp.Employee.Management.System.with.Advanced.JDBC.part3.rar.html https://fikper.com/ofEIkYNHZ5/zfttp.Employee.Management.System.with.Advanced.JDBC.part2.rar.html https://fikper.com/pAYQjVJdco/zfttp.Employee.Management.System.with.Advanced.JDBC.part4.rar.html No Password - Links are Interchangeable

Free Download Employee Management System With Entity Framework And Linq Published: 12/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 857.31 MB | Duration: 2h 36m Learn to create a robust Employee Management System using Entity Framework and LINQ, mastering database management! What you'll learn How to set up and use Entity Framework for database management. How to perform CRUD operations with Entity Framework and LINQ. Techniques for querying data using LINQ and Entity SQL. How to manage data relationships and work with multiple tables. How to work with raw SQL queries alongside Entity Framework. Requirements Basic knowledge of C# and .NET framework. Familiarity with relational databases (such as SQL Server, MySQL). No prior knowledge of Entity Framework is required; the course will cover it from the basics. Description Introduction:In this comprehensive course, you will build an Employee Management System using Entity Framework (EF) and LINQ. We will walk you through the entire process of creating tables, performing CRUD operations, and querying the database using LINQ queries. By the end of the course, you will be equipped to build powerful database-driven applications and work with both Entity Framework and LINQ to manipulate data efficiently. This course is perfect for anyone looking to advance their skills in .NET development and database management.Section-Wise Writeup:Section 1: IntroductionIn this section, we introduce the project and the technologies used to build it.Lecture 1: Introduction to Project - Overview of the course objectives, tools, and technologies used in this Employee Management System project.Section 2: Getting StartedHere, we dive into the setup and configuration of Entity Framework, as well as the creation of the initial database tables.Lecture 2: Entity Framework - Setting up Entity Framework in the project and understanding how it interacts with the database.Lecture 3: Graph Table - Introduction to graph-based data representation and setting up the related table structure.Section 3: Table CreationIn this section, you will learn how to create and manage database tables such as Department and Employee.Lecture 4: Department Table Creation - Creating a Department table for storing department data.Lecture 5: Small Correction and VS - Applying small corrections and refining the setup.Lecture 6: VS Side Explanation - Detailed explanation of how to use Visual Studio for managing the project.Section 4: CRUD OperationsWe explore how to implement CRUD (Create, Read, Update, Delete) functionality for managing employee and department data.Lecture 7: CRUD - Introduction to CRUD operations using Entity Framework.Lecture 8: Insert Into Dept and Dept Success - Inserting records into the Department table and confirming success.Lecture 9: EMP Insert - Inserting employee data into the Employee table.Lecture 10: Emp Success and SkillSet Insert - Inserting employee data and skill sets, and ensuring success.Lecture 11: Skillset Success to Delete Success - Demonstrating successful deletion of records.Section 5: Querying with LINQThis section focuses on querying data using LINQ methods and operators to extract specific information from the database.Lecture 12: Introduction to Query Mech - Overview of LINQ query mechanisms.Lecture 13: Select LINQ Query - Writing LINQ queries to select data.Lecture 14: Select LINQ Method - Using the LINQ Select method to retrieve data.Lecture 15: WHERE LINQ Query and LINQ Query Success - Filtering data using LINQ Where method.Lecture 16: WHERE LIN Method and LINQ Method Success - Exploring LINQ method syntax for Where.Lecture 17: Introduction to List - Understanding how to use List with LINQ.Lecture 18: LIST Query and Success - Querying lists and processing results.Lecture 19: LIST Method Syntax and TLIST Method Success - Working with List methods in LINQ.Lecture 20: Order By Query - Sorting query results using LINQ's OrderBy.Lecture 21: Order By Multiple Fields - Sorting data by multiple fields in LINQ.Lecture 22: Order By Method - Understanding the OrderBy method in LINQ.Lecture 23: Group By Query Success - Grouping data using the GroupBy method in LINQ.Lecture 24: Find and Find Null - Using LINQ Find and handling null values.Lecture 25: First Default Method - Querying the first element using FirstOrDefault.Lecture 26: Projection Query - Creating projections to shape query results.Lecture 27: Link Query - Advanced LINQ queries using Link syntax.Lecture 28: Projection Custom - Custom projections for more complex data extraction.Lecture 29: Custom Employee Details - Querying and customizing employee data using LINQ.Section 6: Entity SQLIn this section, we will explore how to write raw SQL queries and work with Entity SQL to retrieve data.Lecture 30: Introduction to Entity SQL - Introduction to using Entity SQL for querying.Lecture 31: Entity SQL Success - Executing Entity SQL queries successfully.Lecture 32: Raw SQL - Working with raw SQL queries in Entity Framework.Lecture 33: DB Set SQL - Accessing and modifying data using DBSet in SQL queries.Lecture 34: Database SQL - Direct SQL queries for interacting with the database.Lecture 35: Database Exec SQL - Executing SQL commands in Entity Framework.Section 7: ConclusionThe course concludes with a review of what you have learned and how to proceed with further enhancements.Lecture 36: Conclusion - Summarizing key takeaways and discussing the next steps in application development.By the end of this course, you will have created a fully functional Employee Management System using Entity Framework and LINQ. You will have hands-on experience in database design, CRUD operations, and complex querying techniques. This course is a solid foundation for anyone looking to build scalable database-driven applications using .NET technologies. Overview Section 1: Introduction Lecture 1 Introduction to Project Section 2: Getting Started Lecture 2 Entity Framework Lecture 3 Graph Table Section 3: Table Creation Lecture 4 Department Table Creation Lecture 5 Small Correction and VS Lecture 6 VS Side Explanation Section 4: Crud Lecture 7 Crud Lecture 8 Insert Into Dept and Dept Success Lecture 9 EMP Insert Lecture 10 Emp Success and SkillSet Insert Lecture 11 Skillset Success To delete Success Section 5: Query Lecture 12 Introduction to Query Mech Lecture 13 Select LINQ Query Lecture 14 Select LINQ Method Lecture 15 WHERE LINQ Q and LINQ Q Success Lecture 16 WHERE LIN Methd and LINQ M Success Lecture 17 Introduction to List Lecture 18 LIST Q and Success Lecture 19 LIST M Syntax and TLIST M Success Lecture 20 Order By Query Lecture 21 Order By Multiple Fields Lecture 22 Order By Method Lecture 23 Group By QSuccess Lecture 24 Find and Find Null Lecture 25 First Default Method Lecture 26 Projection Query Lecture 27 Link Query Lecture 28 Projection Custom Lecture 29 Custom Employee Details Section 6: Entity SQL Lecture 30 Introduction to Entity SQL Lecture 31 Entity SQL Success Lecture 32 Raw SQL Lecture 33 DB Set SQL Lecture 34 Database SQL Lecture 35 Database Exec SQL Section 7: Conclusion Lecture 36 Conclusion Beginner to intermediate .NET developers looking to learn Entity Framework and LINQ.,Developers interested in building database-driven applications.,Students and professionals who want to understand how to use LINQ and Entity Framework in real-world projects.,Anyone seeking to deepen their knowledge of database management with .NET. 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Free Download Employee Engagement - Boosting Workplace Performance Published: 12/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 2h 1m | Size: 1.07 GB Unlock the secrets to employee engagement, bridge generational gaps, and lead with impact! What you'll learn The fundamentals of employee engagement and strategies for driving it. How to bridge generational gaps to foster inclusivity. Techniques for capturing and maintaining attention at work. Leadership qualities and tools for effective management. The role of organizational culture and employee wellness in engagement. Requirements A basic understanding of workplace dynamics. A willingness to learn and apply leadership and engagement techniques. No prior leadership experience is necessary, making this course suitable for all levels. Description Introduction:This course focuses on the critical connection between employee engagement and effective leadership in today's diverse workplace. By exploring strategies to inspire, retain, and empower employees, you'll gain the tools needed to foster a thriving organizational culture. From understanding generational dynamics to mastering leadership essentials, this course equips you with actionable insights for a productive and motivated workforce.Section-Wise Writeup:Section 1: IntroductionBegin your journey by understanding the course's objectives and core themes. Explore why employee engagement and leadership are pivotal in achieving organizational success.Section 2: Employee EngagementDive into the fundamentals of employee engagement. Learn what it means to have engaged employees, how to create meaningful connections, and strategies to drive and measure engagement effectively. This section sets the stage for building a motivated workforce.Section 3: Generational Gap and Employee EngagementExplore the generational dynamics that influence workplace culture. Understand the unique perspectives of Generation X and Generation Y, and learn how to bridge generational gaps to create an inclusive and collaborative environment.Section 4: Gaining and Regaining AttentionMaster techniques for capturing and maintaining attention in the workplace. This section covers different attention types, strategies for regaining focus, and the impact of quality leadership on sustaining employee interest and productivity.Section 5: LeadershipDelve into the qualities that define exceptional leaders. Learn about tools to enhance engagement, such as the Urgent and Important Matrix and SMART goals. Explore the role of organizational culture and employee wellness in fostering a supportive and effective leadership style.Conclusion:By the end of this course, you will have a solid understanding of how to engage employees, manage generational differences, and lead with confidence. You'll be equipped to create a workplace culture that values attention, productivity, and wellness, driving both individual and organizational success. Who this course is for HR professionals aiming to enhance employee engagement strategies. Team leaders and managers looking to improve workplace performance. Aspiring leaders seeking foundational knowledge in leadership and engagement. Anyone interested in fostering a positive and productive organizational culture. Homepage: https://www.udemy.com/course/employee-engagement-boosting-workplace-performance/ DOWNLOAD NOW: Employee Engagement - Boosting Workplace Performance Download ( Rapidgator ) https://rg.to/file/d86c5d50ed4a21cbbd40b7a750b7a711/jqnij.Employee.Engagement..Boosting.Workplace.Performance.part1.rar.html https://rg.to/file/ef043d5a4305dfdca2b6a2fa737f96de/jqnij.Employee.Engagement..Boosting.Workplace.Performance.part2.rar.html Fikper https://fikper.com/7TIEwUewkm/jqnij.Employee.Engagement..Boosting.Workplace.Performance.part2.rar.html https://fikper.com/UOxyTPP6xc/jqnij.Employee.Engagement..Boosting.Workplace.Performance.part1.rar.html No Password - Links are Interchangeable

Free Download Employee Applications Management with SOAP Web Services Published: 12/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 48m | Size: 891 MB Master SOAP-based web services through a practical employee management project! What you'll learn The structure and components of SOAP web services. How to design, develop, and deploy a SOAP-based employee management application. Practical use of WSDL for defining SOAP services. CRUD (Create, Read, Update, Delete) operations using SOAP. Error handling and status communication in SOAP services. Requirements Basic programming knowledge, preferably in Java or a similar language. Familiarity with XML structure. A code editor and runtime environment installed on your system. Description Introduction:SOAP (Simple Object Access Protocol) remains a vital tool for building robust and secure web services in enterprise environments. This hands-on course will guide you through creating, managing, and testing SOAP-based employee management services. Designed for both beginners and those looking to sharpen their skills, this project-based approach ensures practical learning and real-world application.Section-Wise Writeup:Section 1: IntroductionGain an Overview of the project and its goals. Understand the relevance of SOAP web services in modern enterprise applications, their structure, and the scenarios where they excel. This section lays the foundation for the hands-on training ahead.Section 2: Hands-On TrainingDive into building your SOAP-based application.Lecture 2: How to Create a ProjectLearn the step-by-step process of setting up a SOAP web services project from scratch.Lecture 3: Employee ClassDefine the core Employee class, outlining essential attributes and their roles in the application.Lecture 4: Employee ServiceCreate the service layer to handle operations like fetching and modifying employee data.Lecture 5: Get EmployeeImplement functionality to retrieve employee information via SOAP requests.Lecture 6: Delete EmployeeExplore the process of deleting employee records while maintaining data integrity.Lecture 7: Add EmployeeBuild the functionality to add new employee details to the database using SOAP methods.Lecture 8: Generate the WSE FileLearn to generate and configure the WSDL file for defining the service interface.Lecture 9: StatusIncorporate status codes to handle and communicate errors and successes effectively.Lecture 10: Soap EnvelopeUnderstand SOAP envelope structure, including headers, bodies, and their roles in message exchange.Lecture 11: URL ObjectConfigure and manage URL objects for connecting to SOAP services.Lecture 12: Employee IDImplement methods to handle unique employee identifiers and related operations.Conclusion:By the end of this course, you'll have built a fully functional SOAP-based web service for managing employee records. You will gain confidence in creating, deploying, and testing SOAP applications in real-world scenarios, equipping you with a crucial skill set for enterprise-level development. Who this course is for Software developers keen to learn SOAP web services. IT professionals working in enterprise applications and legacy systems. Students or developers transitioning to web services development. Anyone looking to enhance their web service development skills for enterprise applications. Homepage: https://www.udemy.com/course/employee-applications-management-with-soap-web-services/ DOWNLOAD NOW: Employee Applications Management with SOAP Web Services Download ( Rapidgator ) https://rg.to/file/bcaeabcb67accebe287d2bcf854146a0/nenrb.Employee.Applications.Management.with.SOAP.Web.Services.rar.html Fikper https://fikper.com/zcko3djlaV/nenrb.Employee.Applications.Management.with.SOAP.Web.Services.rar.html No Password - Links are Interchangeable

Free Download E-Learning Of Regulatory Affairs Of Medical Device Published: 12/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 205.81 MB | Duration: 0h 36m Embrace regulatory joy of medical device What you'll learn Learn how to register medical device in international markets Optimise the compilation of technical documentation Manange of regulatory affairs skills Know regulatory intelligence of medical device Requirements basic knowledge of medical device eager to have intercultural communication Description We want to share regulatory intelligence with you indepedent in which career level you are staying at medtech. You will learn registration pathway from EU, MDR to US, FDA and CN NMPA etc...Learning audienceStudent and unemployed:Basic knowledge for Chinese registrationNon Medtech personal:Gain Overview and tactic of Chinese market entry, useful for publication (medical writers)Non Regulatory personal:Perfect for career changerRegulatory professionals:Either with or without experience of registration, improve registration efficiency, ideal as boot camp for RA groupOn website of easychinapprov, you can select any session what you wish to learnSession: Chinese accessSession: Registration in ChinaSession: Chinese Post market and quality managementSession: Global marketsSession: Regulatory Affairs Soft SkillsSession: FDA and CanadaSession: CE cerfiticationSession: Singapore, Malaysia and VietnamSession: TaiwanEach session is made of script, video, test and case study. In professional modul you can have face to face coach with our best chosen regulatory expert.Start: Participation possible any time.Duration: 1 yearHow to start: Kick off meeting with trainer, book trainingEnd of E-Learning: for professional user there is test, free supervision hours and certificateProof of E-learningA certificate will be issued after successful test for each session and qualitative homework. Overview Section 1: Overview of international registration of medical device Lecture 1 From MDR to Chinese market of medical device Lecture 2 From FDA to Chinese market of medical device Section 2: Workflow of Chinese registration Lecture 3 Pathway of Chinese registration Lecture 4 Type testing Section 3: Our Service Lecture 5 E-Learning of regulatory affairs Student,Junior regulatory affairs manager,Career changer in medtech Homepage: https://www.udemy.com/course/e-learning-of-regulatory-affairs-of-medical-device/ DOWNLOAD NOW: E-Learning Of Regulatory Affairs Of Medical Device Download ( Rapidgator ) https://rg.to/file/3d85e711c1a197e26a3374c3512504c5/gkcza.ELearning.Of.Regulatory.Affairs.Of.Medical.Device.rar.html Fikper https://fikper.com/pbJVJTWBQN/gkcza.ELearning.Of.Regulatory.Affairs.Of.Medical.Device.rar.html No Password - Links are Interchangeable

Free Download Defi Cryptocurrency Investment Course - Passive Income 2024 Published: 8/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 3h 45m | Size: 4.29 GB Become a master of decentralized finance quickly and earn passive income on your crypto What you'll learn How to earn passive income from your crypto in defi How to interact with different dapps (decentralized applications) How to DYOR (do your own research) to find best coins to invest in How to set up and restore self-custody wallets Master crypto fundamentals Requirements If you've used the internet you have all the skills you need Description You do NOT need to spend $2000 on programs and coaching in order to learn Defi!Unfortunately, when I first got into crypto I made that mistake (wish I had just bought crypto instead)Crypto and decentralized finance might be intimidating at first, but once you look under the hood you realize it's easy to learnIf you've used any sort of banking app at all like Venmo, PayPal, etc.. you have all the technical skills you needThe Goal of This CourseThe goal of this course is to teach you everything you need to start investing in crypto through defi as quickly as possibleAnd I say investing because this is not a short-term trading course (although there is a trading section where I teach you what you need to know to find the best times to buy)The BIGGEST lesson you'll learn is how to research and find quality projects with the goal of earning "passive" income (earning APRs) over a longer timeframeThe skills you learn in this course can be used everywhere in defiYou'll learn how to:Make passive income on your cryptoResearch tokens/coins to find the best projectsCreate and manage multiple walletsEvaluate the market for the best entries... demonstration videos also included so you can see it in action(Don't feel overwhelmed if you don't understand some of the terms.. you will soon)There are a lot of opportunities in defi that can generate better yields than you get at your bank and those opportunities only become available once you have the skills to recognize them and take advantageWant to break away from the traditional banking system? Decentralized finance is the way-Kyle Who this course is for Beginner crypto users that want to learn how to earn income from decentralized finance Homepage: https://www.udemy.com/course/learndefi/ DOWNLOAD NOW: Defi Cryptocurrency Investment Course - Passive Income 2024 Download ( Rapidgator ) https://rg.to/file/4295cf0c772c9fef62f60453fa3569ef/wgnzw.Defi.Cryptocurrency.Investment.Course..Passive.Income.2024.part4.rar.html https://rg.to/file/4b990dabcfc8834e7c6b731d7ca1cfd2/wgnzw.Defi.Cryptocurrency.Investment.Course..Passive.Income.2024.part3.rar.html https://rg.to/file/5054e85c24f6ca3566244a8f46ba07d4/wgnzw.Defi.Cryptocurrency.Investment.Course..Passive.Income.2024.part5.rar.html https://rg.to/file/ed46639d94eeed435537986a9af5c716/wgnzw.Defi.Cryptocurrency.Investment.Course..Passive.Income.2024.part2.rar.html https://rg.to/file/f2b272e3fc66783763d56cca5cdab67f/wgnzw.Defi.Cryptocurrency.Investment.Course..Passive.Income.2024.part1.rar.html Fikper https://fikper.com/07lkgQagyJ/wgnzw.Defi.Cryptocurrency.Investment.Course..Passive.Income.2024.part4.rar.html https://fikper.com/C6ivNkG2pQ/wgnzw.Defi.Cryptocurrency.Investment.Course..Passive.Income.2024.part2.rar.html https://fikper.com/G47dYwM8nu/wgnzw.Defi.Cryptocurrency.Investment.Course..Passive.Income.2024.part5.rar.html https://fikper.com/JRxMFEqHke/wgnzw.Defi.Cryptocurrency.Investment.Course..Passive.Income.2024.part1.rar.html https://fikper.com/UeToBua4sz/wgnzw.Defi.Cryptocurrency.Investment.Course..Passive.Income.2024.part3.rar.html No Password - Links are Interchangeable

Free Download Decoding Food Labels and Claims - Smarter Food Choices Published: 12/2024 Created by: Reem Hassan MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 26 Lectures ( 2h 15m ) | Size: 2.41 GB Eating Healthy, Eat Real Foods, Understand Ingredients, Nutrition Claims, Marketing Tricks What you'll learn Identifying nutritional facts, serving sizes, and ingredient lists to make better product choices. Spot misleading claims and identify unregulated marketing language. Differentiate between "best-by," "sell-by," and "use-by" dates to understand freshness and food safety. Hands-on examples to compare products like cereals, breads, and snacks for healthier options. Break down complex ingredient lists without being a scientist to uncover hidden additives or allergens. Identify suitable products for allergies, gluten-free, vegan, or other dietary preferences. Learn how packaging impacts food quality and the environment for more sustainable shopping. Use practical strategies to decode labels and shop smarter during everyday grocery trips. Requirements No prior knowledge or experience required. Description This course provides a comprehensive guide to understanding food labels, helping you make informed decisions about the products you buy. Designed for everyday shoppers, it walks you through the essential elements of food labeling, from nutritional facts and ingredient lists to terms like "organic," "natural," and "GMO." With a focus on practical application, this course will teach you how to read labels with confidence, so you can easily identify misleading claims and make healthier choices.You'll explore important topics such as how to understand allergens, expiry dates, and packaging materials, and how these factors impact the safety, quality, and nutritional value of food products. This course takes a hands-on approach, offering clear, actionable tips for evaluating labels while grocery shopping.Ideal for anyone who is health-conscious or simply wants to better understand the food they consume, this course requires no prior knowledge. Whether you're shopping for your family, managing a specific diet, or just curious about food marketing, this course will give you the tools to navigate grocery store shelves with ease. By the end, you'll be able to make informed, confident choices that align with your health goals and values, all while saving time and avoiding confusion in the grocery aisle. Who this course is for Individuals who want to make healthier, informed food choices. Shoppers looking to decode food labels and avoid misleading claims. Parents striving to choose the best products for their families. People with dietary restrictions or allergies seeking safe options. Health-conscious individuals aiming to align their shopping habits with their wellness goals. Beginners interested in understanding food marketing and nutrition basics. Anyone curious about improving their grocery shopping strategies. Homepage: https://www.udemy.com/course/decoding-food-labels-and-claims-smarter-food-choices/ DOWNLOAD NOW: Decoding Food Labels and Claims - Smarter Food Choices Download ( Rapidgator ) https://rg.to/file/2969a6980a4d72f5e947bdb3faa50c64/pmlpb.Decoding.Food.Labels.and.Claims..Smarter.Food.Choices.part3.rar.html https://rg.to/file/384f1190da9aee4f118760007546f7aa/pmlpb.Decoding.Food.Labels.and.Claims..Smarter.Food.Choices.part1.rar.html https://rg.to/file/510e2b1bd8b8682fb94c5098be98b07b/pmlpb.Decoding.Food.Labels.and.Claims..Smarter.Food.Choices.part2.rar.html Fikper https://fikper.com/6HQ0vimZGT/pmlpb.Decoding.Food.Labels.and.Claims..Smarter.Food.Choices.part2.rar.html https://fikper.com/BubghMNXQC/pmlpb.Decoding.Food.Labels.and.Claims..Smarter.Food.Choices.part1.rar.html https://fikper.com/NcPzdCygTa/pmlpb.Decoding.Food.Labels.and.Claims..Smarter.Food.Choices.part3.rar.html No Password - Links are Interchangeable

Free Download Data Structures In Javascript - Master The Fundamentals MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English (US) | Size: 6.07 GB | Duration: 14h 5m Learn the fundamentals of computer programming using JavaScript data structures What you'll learn Learn fundamental concepts of Data Structures and Algorithms Learn to implement popular data structures in JavaScript Learn how data structures are used for creating software Requirements Basic knowledge of JavaScript is required for completing this course Description If you want to be a good programmer or want to build good software, then the knowledge of data structures and their role in software development becomes essential. Data Structure is basically a process for collecting and organizing the data in the best way possible for performing operations efficiently. They form the fundamentals of computer science. With a good understanding of data structure, we master the way of organizing and storing data for a specific purpose. This course is aimed for helping you understand the core concepts behind these data structures and how they are used to build algorithms that solve business problems. Why this course is important?This course gives insight into the data science and algorithms in JavaScript covering all the essential topics. It unfolds with the basic introduction, then covers all the aspects of arrays such as arrays vs lists, common array iterations, array functions and others. Following this, lists, big o time space asymptomatic analysis, linked lists and stacks are also covered in details. Lastly, introduction to queues, its implementation, various aspects of recursion, trees, hash maps and graphs are also covered for the complete understanding of data science and algorithms. This course includes-1. Introduction to the data structure2. Arrays, common array comparisons, array functions, searching arrays, 2d arrays, iterating over 2d arrays, Minesweeper challenge, minesweeper solution and others3. Lists, implementing list push, implementing list remove and so on4. Big o time space asymptomatic analysis- its introduction, big o of n squared, no constants, big o challenge and big o solution5. Linked lists, coding linked lists, linked list class, remove at index and add at index6. Stacks- introduction, implementation, stack out of linked list, stack out of array, condense challenge and others7. Queues, recursion, trees, hash maps, graphs and much more important things! Get started with this course now to learn data structures and algorithms for acing any job interview or building better software! Who this course is for Anyone who wants to learn software engineering will find this course very useful,Learn to build better software with conceptual understanding of the fundamental data structures. Homepage: https://www.udemy.com/course/javascript-datastructures/ DOWNLOAD NOW: Data Structures In Javascript - Master The Fundamentals Download ( Rapidgator ) https://rg.to/file/2d94e2500e55d2f0387ad14d1c4b9cd6/kbyxl.Data.Structures.In.Javascript..Master.The.Fundamentals.part7.rar.html https://rg.to/file/3e55e537deecc3036434af59a4da2ca7/kbyxl.Data.Structures.In.Javascript..Master.The.Fundamentals.part5.rar.html https://rg.to/file/425f913c958482fd841284fe9fb6445d/kbyxl.Data.Structures.In.Javascript..Master.The.Fundamentals.part6.rar.html https://rg.to/file/5de6c1875223d67f9b214c638fa989e5/kbyxl.Data.Structures.In.Javascript..Master.The.Fundamentals.part1.rar.html https://rg.to/file/a4a9b6527620e6c84ddada6f71335d22/kbyxl.Data.Structures.In.Javascript..Master.The.Fundamentals.part4.rar.html https://rg.to/file/d550078503b83721e62ad9b8901c04cf/kbyxl.Data.Structures.In.Javascript..Master.The.Fundamentals.part2.rar.html https://rg.to/file/e9c18266918978faf4a045f78fe82a74/kbyxl.Data.Structures.In.Javascript..Master.The.Fundamentals.part3.rar.html Fikper https://fikper.com/5ETl7GVD4P/kbyxl.Data.Structures.In.Javascript..Master.The.Fundamentals.part4.rar.html https://fikper.com/INoQnLvvPV/kbyxl.Data.Structures.In.Javascript..Master.The.Fundamentals.part7.rar.html https://fikper.com/NUiVlSL4tV/kbyxl.Data.Structures.In.Javascript..Master.The.Fundamentals.part2.rar.html https://fikper.com/R7WJXDjrM2/kbyxl.Data.Structures.In.Javascript..Master.The.Fundamentals.part6.rar.html https://fikper.com/ROHWVhtSHs/kbyxl.Data.Structures.In.Javascript..Master.The.Fundamentals.part3.rar.html https://fikper.com/ate1KvV4mT/kbyxl.Data.Structures.In.Javascript..Master.The.Fundamentals.part1.rar.html https://fikper.com/u3wjLdRq5i/kbyxl.Data.Structures.In.Javascript..Master.The.Fundamentals.part5.rar.html No Password - Links are Interchangeable

Free Download DRAW BOXES - Learn the HIDDEN KEYS to drawing anything well Published: 12/2024 Created by: Steve Worthington MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 14 Lectures ( 1h 29m ) | Size: 1.84 GB Your on-ramp to a future of drawing objects that are constructed confidently, convincingly and clearly. What you'll learn Get a grip on structure. Ground your drawing in reality and make it believable. Understand the hidden structure behind the lines and tones. The essential first steps to drawing confidently with understanding. The understanding you need to convincingly draw things from different angles, in perspective. Starting from scratch, learn to the skills to construct and draw solid forms. Build 3 dimensional forms, on a 2 dimensional surface. Analyze and reconstruct objects and scenes. Start to unlock your inventive drawing potential. Requirements Something to draw with, something to draw on, and the enthusiasm to learn and determination to stick with it. Description This class is not about line quality, surface texture or rendering techniques. It's arguably much more important than that. It's about getting to grips with structure - the underlying secret sauce that will ground your art in reality and make it believable.Boxes provide an excellent and essential first step in understanding structure.It's all well and good to draw a fairly lively feeling line that varies in thickness. What's more important is the hidden structure beneath the line.What's the line revealing? Well structured forms, or a bit of a mess?Solid structure is what you need to understand if you want to be able to draw things from different angles in perspective, with forms that are convincing.I've Published: classes which tackle drawing things constructively, beginning at an intermediate level that assumes that you can build solid shapes in perspective already. Lots of you have trouble with that and I've been asked to start from absolute scratch so you can learn and develop those skills, even as a beginner.I've been drawing storyboards for many years in London, Hong Kong and Los Angeles.One thing I know is that to survive in an art production environment you have to be able to construct scenes quickly, and well. You don't have to see the whole thing in your head first, but you have to be able to put it together in a drawing.To do that you have to be able to build 3 dimensional forms on a 2 dimensional surface.Mastering how to use points, planes and boxes is the most efficient way to develop those skills that I've encountered.Once you've got the hang of it, you can analyze and reconstruct objects and scenes that you may have less than perfect reference of. For example, your references might be from the wrong angles to simply copy or trace.So if you want to take the first steps to unlocking your inventive drawing potential, I'll see you in class! Who this course is for Serious beginners. Homepage: https://www.udemy.com/course/draw-boxes/ DOWNLOAD NOW: DRAW BOXES - Learn the HIDDEN KEYS to drawing anything well Download ( Rapidgator ) https://rg.to/file/6ead010325c2b9bb9f2a3e5ac8dd9ccb/savzj.DRAW.BOXES..Learn.the.HIDDEN.KEYS.to.drawing.anything.well.part1.rar.html https://rg.to/file/a11a3996ec6e254ca384d120a97de106/savzj.DRAW.BOXES..Learn.the.HIDDEN.KEYS.to.drawing.anything.well.part2.rar.html Fikper https://fikper.com/19WkRJWvS2/savzj.DRAW.BOXES..Learn.the.HIDDEN.KEYS.to.drawing.anything.well.part2.rar.html https://fikper.com/Eih1c1BLzP/savzj.DRAW.BOXES..Learn.the.HIDDEN.KEYS.to.drawing.anything.well.part1.rar.html No Password - Links are Interchangeable

Free Download Create a WordPress Website for Free Free Domain and Hosting Published: 12/2024 Created by: Sarah John MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 27 Lectures ( 4h 0m ) | Size: 2.41 GB Build a Professional WordPress Website for Free in One Hour Perfect for Beginners No Coding No Costs Just Results What you'll learn Learn to build a professional WordPress site with a free domain and hosting. Master key plugins like WP Mail SMTP, Contact Form 7, and anti-spam tools. Create stunning, responsive layouts using the Elementor page builder. Optimize website speed and protect your site with free tools and techniques. Learn to choose, install, and modify themes to match your website's vision. Requirements Learners should know how to use a computer, navigate the internet, and perform basic tasks like downloading and installing software. This course is beginner-friendly and does not require any programming or web development experience. Learners will need an email address to register for free hosting and domain services. Dedication to follow step-by-step instructions and complete the lessons to create a fully functional website. Description Are you ready to create a professional WordPress website without spending a dime? This beginner-friendly course will guide you to build a fully functional website in just one hour. Whether you're an entrepreneur, freelancer, blogger, or hobbyist, this course will help you launch your online presence quickly and easily.In this course, you'll learn how to use free tools, customize themes, install essential plugins, and design stunning layouts with Elementor-all without any coding knowledge. We'll cover everything from choosing a domain name to publishing your website online. You'll also gain hands-on experience with essential plugins for boosting your site's performance, security, and user experience.By the end of this course, you'll have a polished, live website ready to showcase your business, portfolio, blog, or personal brand. You'll be able to confidently navigate the WordPress dashboard, and set up essential features like contact forms, social media integration, and more, all while using free resources.No prior technical experience is required! This course is perfect for beginners who want to learn practical, actionable skills in website creation and design. Whether you're looking to build a personal website, start an online business, or showcase your creative work, this course will empower you to bring your vision to life.Join us and discover how simple and rewarding it is to create your very own WordPress website, without the need for expensive developers or hosting fees. Who this course is for Individuals with little to no experience in web development who want to learn how to create a website from scratch. People looking to build a professional website for their business without spending on expensive developers or hosting services. Aspiring freelancers who want to add website creation to their skill set or build their own portfolio websites. Learners and enthusiasts who are curious about web design and want to explore creating a WordPress site for free. Creators who want an affordable and effective platform to showcase their content, blogs, or portfolios. Homepage: https://www.udemy.com/course/create-a-wordpress-website-for-free-free-domain-and-hosting/ DOWNLOAD NOW: Create a WordPress Website for Free Free Domain and Hosting Download ( Rapidgator ) https://rg.to/file/5737e0d601b2cf850b81e1cc4bf6c878/qurik.Create.a.WordPress.Website.for.Free.Free.Domain.and.Hosting.part3.rar.html https://rg.to/file/bff4b12c6154c15bdfa7f4d534032687/qurik.Create.a.WordPress.Website.for.Free.Free.Domain.and.Hosting.part1.rar.html https://rg.to/file/c571eecbc77cd8167d19a3f2c8e90f8b/qurik.Create.a.WordPress.Website.for.Free.Free.Domain.and.Hosting.part2.rar.html Fikper https://fikper.com/R3DjhBdJeh/qurik.Create.a.WordPress.Website.for.Free.Free.Domain.and.Hosting.part3.rar.html https://fikper.com/aKSpIp6bFL/qurik.Create.a.WordPress.Website.for.Free.Free.Domain.and.Hosting.part2.rar.html https://fikper.com/f3X70exVXU/qurik.Create.a.WordPress.Website.for.Free.Free.Domain.and.Hosting.part1.rar.html No Password - Links are Interchangeable

Free Download Craft 30 Irresistible Affiliate Ads with ChatGPT and Canva Published: 12/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 47m | Size: 1.38 GB Master AI-Powered Marketing: Create 30 Stunning Display Ads Using ChatGPT and Canva for Top Affiliate Programs! What you'll learn Compare the strengths and capabilities of different versions of ChatGPT Outline six prompt engineering strategies by OpenAI to achieve the best ChatGPT results Explain how to create multiple ads for online affiliate programs using ChatGPT Describe how to refine and enhance ads using Canva to achieve a more professional and eye-catching appearance Select the appropriate tools and functions in Canva for specific tasks Requirements No Experience Required Description Are you ready to supercharge your digital marketing skills with AI and design tools? In this course, Crafting 10 Digital Marketing Ads with ChatGPT and Canva, you'll learn how to create professional and high-converting ads for affiliate marketing campaigns-no prior experience needed!This step-by-step course will guide you through the basics of using ChatGPT, Canva, and effective prompt engineering strategies to craft stunning display ads. Whether you're a beginner in marketing or a seasoned affiliate marketer, this course will empower you to create 30 engaging ads for top affiliate programs like FlexJobs, Calm, Organifi, and more.What you'll learn:How to use ChatGPT to generate persuasive and engaging ad copy effortlessly.Mastering Canva to design eye-catching, professional-quality display ads tailored to specific audiences.Six powerful prompt engineering strategies to get the best results from ChatGPT for all your content creation needs.Practical skills by creating 30 unique and effective display ads for 10 popular affiliate programs.Why Take This Course?Save Time and Money: Learn how to create your own high-quality ads without the need to hire expensive designers or copywriters.Leverage AI for Marketing: Understand how to utilize ChatGPT for ad copy that converts and captivates.Boost Your Marketing Campaigns: Gain the confidence and skills to launch impactful affiliate marketing campaigns.Practical, Hands-On Learning: Work on real-world projects to develop actionable skills you can apply immediately.Expand Your Toolkit: Build valuable expertise in digital marketing, graphic design, and AI-powered tools.What Makes This Course Unique?Real-World Applications: You'll design ads for well-known affiliate programs like FlexJobs, Organifi, Calm, and more, giving you a practical portfolio by the end of the course.AI and Design Integration: Learn to seamlessly combine the power of AI tools like ChatGPT with the creative potential of Canva.Actionable Strategies: Discover proven techniques to craft ads that attract clicks, engagement, and conversions.Beginner-Friendly Approach: The course is designed for learners of all levels, with clear, easy-to-follow instructions.Enroll Today!Whether you're a marketer looking to stay ahead of the curve, a business owner seeking to grow your brand, or someone curious about AI and digital design, this course is your gateway to creating ads that drive results. Start now and transform your ad campaigns with ChatGPT and Canva! Who this course is for Affiliate Marketers: Individuals looking to create high-converting ads to promote affiliate products effectively. Digital Marketing Beginners: People new to digital marketing who want to learn how to create ads using ChatGPT and Canva without prior experience. Small Business Owners: Entrepreneurs who want to create their own marketing campaigns to save costs and attract more customers. Content Creators: Bloggers, influencers, or social media managers looking to improve their ad design and copywriting skills. Freelancers: Professionals offering ad creation or marketing services who want to leverage AI tools to work more efficiently. Students and Learners: Anyone curious about AI-powered marketing and eager to learn practical skills in ad design and copywriting. Homepage: https://www.udemy.com/course/craft-30-irresistible-affiliate-ads-with-chatgpt-and-canva/ DOWNLOAD NOW: Craft 30 Irresistible Affiliate Ads with ChatGPT and Canva Download ( Rapidgator ) https://rg.to/file/7520108bd851a0a971d7908ae94e54a8/fwvst.Craft.30.Irresistible.Affiliate.Ads.with.ChatGPT.and.Canva.part2.rar.html https://rg.to/file/b352336f5632f08a59af588a7ec7286d/fwvst.Craft.30.Irresistible.Affiliate.Ads.with.ChatGPT.and.Canva.part1.rar.html Fikper https://fikper.com/1MpsgAX3Fj/fwvst.Craft.30.Irresistible.Affiliate.Ads.with.ChatGPT.and.Canva.part2.rar.html https://fikper.com/iOGWXjdFae/fwvst.Craft.30.Irresistible.Affiliate.Ads.with.ChatGPT.and.Canva.part1.rar.html No Password - Links are Interchangeable

Free Download Conversational AI Course - AI Voice Chat in Next.js Published: 12/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 30m | Size: 256 MB Make your own AI Voice Chatbot and experience what it's like to dip your toes into AI Voice Chatbot Development! What you'll learn Full Stack Developers trying to learn Conversational AI Frontend Developers trying to learn Conversational AI Backend Developers trying to learn Conversational AI Software Engineers trying to learn Conversational AI Requirements Experience with Next js Description In this course, I will exemplify AI Voice Chat and guide you through the process of creating my own AI Voice Chatbot. The AI Voice Bot we'll build in this course will function as a Travel Agent, capable of taking directions from users and providing helpful, safe, and interesting travel advice. This will be one of the first Voice Bots I've built, and I'm excited to share the journey with you. While I've worked with other AI Voice Chat Bots in the past, they allowed users to have simple voice conversations with AI-this project will take things to the next level.Throughout this course, we'll focus on integrating voice technology into your projects using Next.js and React.js, two popular web development frameworks. You'll learn how to develop a system that can understand and respond to voice commands, creating a more natural and engaging user experience. By incorporating AI Voice Chat, you'll unlock a whole new world of possibilities for interactive applications. By the end of the course, you'll not only understand the fundamentals of voice-enabled technologies but also possess the skills to build and deploy your own AI-driven voice applications, setting you up to innovate and develop cutting-edge solutions. Who this course is for Next js Beginners Homepage: https://www.udemy.com/course/conversational-ai-course-ai-voice-chat-in-nextjs/ DOWNLOAD NOW: Conversational AI Course - AI Voice Chat in Next.js Download ( Rapidgator ) https://rg.to/file/c3a0565802299078fa8b35f8eb1e7959/kqgyk.Conversational.AI.Course..AI.Voice.Chat.in.Next.js.rar.html Fikper https://fikper.com/i1MuzGQoov/kqgyk.Conversational.AI.Course..AI.Voice.Chat.in.Next.js.rar.html No Password - Links are Interchangeable

Free Download Complete SQL for Data Analytics and Business Intelligence Published: 12/2024 Created by: Raja Pradhan MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 168 Lectures ( 20h 13m ) | Size: 9.63 GB Master SQL from Basics to Advanced with Visualized Concepts, Real-World Case Studies and Interview Qs from Top Companies What you'll learn Learn SQL from basics to advanced, focusing on data analytics and business intelligence. Understand concepts with intuitive visualizations. Access interview material inspired by real questions from top tech companies. Work on case studies using e-commerce and retail sales data. Learn advanced analytical techniques like window functions, data cleaning and Exploratory Data Analysis (EDA) Learn how to handle complex data types like Date, Time, Array, and JSON data types effectively in SQL queries. Explore Time Series Analysis and patterns with public datasets in a dedicated module. Lecture notes for quick revision and interviews. Strengthen your knowledge with a variety of exercises, quizzes, and challenges. Get a Data Analyst roadmap and actionable career advice to help you land your dream role. Requirements A Mac, PC, or Linux-based Computer. No prior technical/programming background required. Description Unlock the power of SQL with this Complete SQL for Data Analytics and Business Intelligence course! Designed for learners of all levels, this course takes you from SQL fundamentals to advanced analytical techniques. Through engaging visual explanations, real-world case studies, and hands-on practice, you'll master essential skills like SQL Joins, Subqueries, Grouping, Aggregation, handling complex data types, Time Series Analysis, Exploratory Data Analysis (EDA), window functions and more. Prepare for your dream job with interview-focused material inspired by top tech companies and benefit from lecture notes for quick revision. With quizzes, exercises, and a clear Data Analyst roadmap, this course equips you with the tools and confidence to excel in data-driven roles.Key Highlights of the CourseComprehensive SQL Learning: Master SQL from the basics to advanced topics, tailored for data analytics and business intelligence.Visual Learning: Grasp concepts easily with detailed explanations supported by intuitive visualizations.Interview Preparation: Gain access to specially curated material inspired by real interview questions from top tech companies like Tesla, Microsoft, Amazon, Uber, TikTok and more.Real-World Applications: Work on 2 case studies using e-commerce and retail sales datasets to apply your skills to practical scenarios.Advanced Analytical Techniques: Dive deep into advanced SQL concepts, including window functions and other analytical concepts like data cleaning and Exploratory Data Analysis (EDA).Complex Data Types: Learn how to handle Date, Time, Array, and JSON data types effectively in SQL queries.Time Series Analysis: Explore time-based trends and patterns with public datasets in a dedicated module.Comprehensive Study Materials: Includes lecture notes for quick revision and focused interview preparation.Interactive Learning: Strengthen your knowledge with a variety of exercises, quizzes, and challenges.Career Guidance: Get a Data Analyst/Data Scientist roadmap and actionable career advice to help you land your dream role. Who this course is for Job Seekers: Prepare effectively for Data Analyst interviews. Non-IT Professionals: Transition into IT as a Data Analyst. Software Developers: Enhance your skillset with data analytics expertise. Data Scientists: Apply SQL to real-world analytics and business scenarios. Junior to Intermediate Data Analysts: Master advanced concepts like Time Series Analysis. 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Free Download Complete Google NotebookLM Course 2024 - Beginner to Pro Published: 12/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 54m | Size: 934 MB Unlock AI-Powered Research: Practical Guide to Document Analysis & Insights What you'll learn Navigate NotebookLM's interface confidently to upload, organize, and manage various data sources including PDFs, CSV files, and YouTube transcripts Apply NotebookLM's natural language processing capabilities to analyze sentiment across large sets of customer reviews and feedback Extract meaningful insights from financial documents like 10Q reports and investor call transcripts using NotebookLM's analytical features Demonstrate how to interpret code snippets in different programming languages using NotebookLM's code analysis capabilities Synthesize information from multiple sources (up to 50) effectively using NotebookLM's consolidation features to create comprehensive analyses Utilize NotebookLM's data interpretation tools to analyze and extract key information from CSV files and structured data sets Implement NotebookLM's research paper analysis features to comprehend and summarize academic content efficiently Compare NotebookLM's capabilities with other AI tools like ChatGPT and Google Gemini to determine optimal use cases for each platform Requirements Access to a laptop and Internet. Description Unlock the full potential of Google's revolutionary AI tool in this comprehensive course on Google NotebookLM. Whether you're a beginner exploring AI-powered analysis or an experienced professional seeking to enhance your research capabilities, this course provides a structured path from fundamental concepts to advanced applications.Start your journey by mastering NotebookLM's intuitive interface and basic functionalities. Progress through increasingly sophisticated features as you learn to harness the power of AI for document analysis, research synthesis, and knowledge management. By the end of this course, you'll be able to transform how you interact with and extract insights from your data.What you'll learn:Navigate and customize NotebookLM's interface for optimal productivityUpload, organize, and manage various document types efficientlyMaster natural language processing for document analysisExtract meaningful insights from multiple data sourcesAnalyze complex documents including financial reports and research papersInterpret code snippets across different programming languagesSynthesize information from up to 50 sources simultaneouslyCreate comprehensive research summaries and reportsReal-World Applications:Analyze customer feedback and market research dataExtract insights from financial documents and earnings callsProcess academic papers and research documentsEvaluate technical documentation and codeCreate detailed content summaries and analysisManage and organize knowledge basesGenerate data-driven reports and presentationsPractical Projects Include:Setting up personalized NotebookLM workspacesAnalyzing CSV files for business insightsProcessing YouTube video transcriptsEvaluating customer sentiment from reviewsAnalyzing financial reports (10Q and investor calls)Understanding code documentationSynthesizing research papersCreating multi-source knowledge basesPerfect For:Data analysts and business professionalsResearchers and academicsContent creators and technical writersBusiness managers and executivesIndependent consultantsKnowledge workersStudents and educatorsAnyone looking to enhance their data analysis capabilitiesPrerequisites:Basic familiarity with Google WorkspaceUnderstanding of basic data analysis conceptsAccess to a Google accountBasic computer literacyBy Course Completion, You'll:Master NotebookLM's complete feature setDevelop efficient AI-powered workflowsCreate sophisticated data analysis processesGenerate valuable insights from complex documentsStreamline your research and analysis tasksEnhance your decision-making capabilitiesJoin us in this comprehensive journey to master Google NotebookLM and revolutionize how you analyze, understand, and utilize your data. Whether you're looking to enhance your professional capabilities or streamline your research process, this course provides the knowledge and practical skills you need to succeed. Who this course is for Data professionals and analysts who want to leverage AI for more efficient data analysis and gain insights from multiple data sources without extensive coding Business professionals and researchers who need to analyze large volumes of documents, reports, and research papers efficiently Content creators and marketers who want to extract insights from customer feedback, reviews, and market research using AI-powered analysis Students and academics who want to streamline their research process and better understand complex academic papers and datasets Professionals with basic Google Workspace knowledge looking to enhance their data analysis capabilities using NotebookLM Mid-level managers and executives who need to quickly analyze business reports and make data-driven decisions without technical expertise Independent consultants who handle multiple client projects requiring efficient document analysis and insight extraction Business intelligence professionals wanting to leverage AI for more sophisticated data interpretation and reporting Homepage: https://www.udemy.com/course/google-notebooklm-for-educators-business-research-podcasts-content/ DOWNLOAD NOW: Complete Google NotebookLM Course 2024 - Beginner to Pro Download ( Rapidgator ) https://rg.to/file/8a7a48a86bf4cbc5d26178b73e703f48/yfvse.Complete.Google.NotebookLM.Course.2024..Beginner.to.Pro.rar.html Fikper https://fikper.com/JUWjyRUUDi/yfvse.Complete.Google.NotebookLM.Course.2024..Beginner.to.Pro.rar.html No Password - Links are Interchangeable