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  1. Last updated 8/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 731.93 MB | Duration: 1h 10m Top Cryptocurrency Secrets for Beginners to Excel in the Blockchain Industry and Start Making Profit In Trading Coins What you'll learn Understand Cryptocurrency theory and practices The Types Of Cryptocurrency Available How To Open An Account To Invest Strategies To Invest How To Collect More Bitcoin Why Buy Cryptocurrency Are There Any Drawbacks The Future Of Cryptocurrency Requirements This course has NO prerequiste Description What moves cryptocurrency markets?Cryptocurrency markets move according to supply and demand. However, as they are decentralized, they tend to remain free from many of the economic and political concerns that affect traditional currencies. While there is still a lot of uncertainty surrounding cryptocurrencies, the following factors can have a significant impact on their prices:Supply: the total number of coins and the rate at which they are released, destroyed or lostMarket capitalization: the value of all the coins in existence and how users perceive this to be developingPress: the way the cryptocurrency is portrayed in the media and how much coverage it is gettingIntegration: the extent to which the cryptocurrency easily integrates into existing infrastructure such as e-commerce payment systemsKey events: major events such as regulatory updates, security breaches and economic setbacksWhat is cryptocurrency trading?Cryptocurrency trading is the act of speculating on cryptocurrency price movements via a CFD trading account, or buying and selling the underlying coins via an exchange.CFD trading on cryptocurrenciesCFDs trading are derivatives, which enable you to speculate on cryptocurrency price movements without taking ownership of the underlying coins. You can go long ('buy') if you think a cryptocurrency will rise in value, or short ('sell') if you think it will fall.Both are leveraged products, meaning you only need to put up a small deposit - known as margin - to gain full exposure to the underlying market. Your profit or loss are still calculated according to the full size of your position, so leverage will magnify both profits and losses.Buying and selling cryptocurrencies via an exchangeWhen you buy cryptocurrencies via an exchange, you purchase the coins themselves. You'll need to create an exchange account, put up the full value of the asset to open a position, and store the cryptocurrency tokens in your own wallet until you're ready to sell.Exchanges bring their own steep learning curve as you'll need to get to grips with the technology involved and learn how to make sense of the data. Many exchanges also have limits on how much you can deposit, while accounts can be very expensive to maintain.How do cryptocurrency markets work?Cryptocurrency markets are decentralized, which means they are not issued or backed by a central authority such as a government. Instead, they run across a network of computers. However, cryptocurrencies can be bought and sold via exchanges and stored in 'wallets' .Unlike traditional currencies, cryptocurrencies exist only as a shared digital record of ownership, stored on a blockchain. When a user wants to send cryptocurrency units to another user, they send it to that user's digital wallet. The transaction isn't considered final until it has been verified and added to the blockchain through a process called mining. This is also how new cryptocurrency tokens are usually created.What is blockchain?A blockchain is a shared digital register of recorded data. For cryptocurrencies, this is the transaction history for every unit of the cryptocurrency, which shows how ownership has changed over time. Blockchain works by recording transactions in 'blocks', with new blocks added at the front of the chain. Overview Section 1: Introduction Lecture 1 What Is Cryptocurrency Section 2: The Types Of Cryptocurrency Available Lecture 2 The Types Of Cryptocurrency Available Section 3: How To Open An Account To Invest Lecture 3 How To Open An Account To Invest Section 4: Strategies To Invest Lecture 4 Strategies To Invest Section 5: How To Collect More Bitcoin Lecture 5 How To Collect More Bitcoin Section 6: Why Buy Cryptocurrency Lecture 6 Why Buy Cryptocurrency Section 7: Are There Any Drawbacks Lecture 7 Are There Any Drawbacks Section 8: The Future Of Cryptocurrency Lecture 8 The Future Of Cryptocurrency Lecture 9 Congratulations on your journey. Keep Learning... Anyone who wants to understand secrets about cryptourrency,Anyone who wants to start trading cryptocurreny profitably Homepage https://www.udemy.com/course/cryptocurrency-tradings-and-secrets-the-beginners-bootcamp/ Download ( Rapidgator ) https://rapidgator.net/file/f395f0b6ef9f7f054e49b65b045aaa68/ncfzd.Cryptocurrency.Trading.And.Secrets..The.Beginners.Bootcamp.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/6789A571B55906ad/ncfzd.Cryptocurrency.Trading.And.Secrets..The.Beginners.Bootcamp.rar Download ( NitroFlare ) https://nitroflare.com/view/7DED29C2DE968A5/ncfzd.Cryptocurrency.Trading.And.Secrets..The.Beginners.Bootcamp.rar Links are Interchangeable - No Password - Single Extraction
  2. Last updated 7/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 9.00 GB | Duration: 24h 22m Master SQL, Database Management & Design and learn to work with databases like PostgreSQL, MySQL + more. With Exercises! What you'll learn Become an expert in SQL and Database Concepts Understand SQL vs NoSQL, MongoDB vs MySQL vs PostgreSQL Add SQL, PostgreSQL, MySQL, Redis, Database Management/Design to your resume Learn to perform efficient and performant SQL queries using best practices Learn how Machine Learning, Data Science and Data Engineers use Big Data and databases Apply for SQL developer, Database Administrator, Business Analyst, Backend Developer and Business Intelligence roles Use the right SQL features to work with data efficiently and solve database problems Database best practices to design and manage your company data Learn to make business and market decisions based on user data Learn how to scale databases by using things like Sharding, Replication, etc... Create your own databases while using SQL to interact with the data Use real-world data to generate insights and reports using SQL Tons of exercises to practice what you learn and test your knowledge Help Sales/Marketing/Product managers make better decisions based on data analysis Advanced SQL topics like indexes, aggregates, caching to make your database queries efficient Learn how databases are used in Web & Mobile Applications, Machine Learning and other fields Learn how to handle user passwords and keep data safe Work with SQL across multiple tables and multiple databases Learn to use Redis for fast memory storage Master SQL joins Requirements No prior tech experience is required. We will start from absolute zero! You can use ANY operating system with this course: Windows, macOS, Linux. All users are all welcome! Get ready to do tons of exercises and learn to love Databases and SQL! Description Just launched with all modern SQL and Databases (PostgreSQL, MySQL, + more) features for 2022! Join a live online community of over 600,000+ students and a course taught by industry experts that have actually worked both in Silicon Valley and Toronto managing databases. This is one of the most in demand tech skills in the world right now with SQL being used for many years to come (it has been around since the 1970s and going stronger than ever)!Using the latest best practices in SQL, Database Management and Database Design, this course is focused on efficiency. Never spend time on confusing, out of date, incomplete tutorials anymore. Graduates of Andrei's courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, + other top tech companies.We guarantee you this is the most comprehensive online resource on Databases like PostgreSQL and MySQL. This project and exercise based course will introduce you to all of the modern toolchain of an SQL developer or anyone using a database in the workplace (Product Manager, Business Analyst/Intelligence, Data Analyst, Data Scientists, Machine Learning Engineer, Web Developer, Mobile Developer + any role requiring insights from data). Along the way, we will learn practical and real world skills that will get you hired. The curriculum is going to be very hands on as we walk you from start to finish of working with databases and SQL, all the way into learning how to scale databases, how to manage them, and even bonus material on working with Big Data, Caching using Redis, and connecting PostgreSQL to a Node.js server. We even talk about pros and cons of choosing an SQL Database vs NoSQL like MongoDB. We will start from the very beginning by teaching you SQL and Database Fundamentals and then going into advanced topics so you can make good decisions and work with any data that your company has no matter how complex!The topics covered are:- NoSQL (MongoDB) vs PostgreSQL, MySQL vs NewSQL- SQL Theory And Concepts- The Relational Model- SQL Basics- SQL Functions- Data Modification Language / DML- Data Query Language / DQL- Subqueries- Indexes- SQL Filtering / WHERE Statement- 3 Valued Logic- SQL JOINS- Window Functions- Date Filtering and Timestamps- SQL Aggregate Functions- SQL Operator Precedense- SQL ORDER BY- SQL GROUP BY- SQL Top Down Design- SQL Bottom Up Design- SQL Entity Relationship Diagram- SQL Normalization- Database Types- The role of a DBMS- Multi Table SELECT- The Software Development Lifecycle / SDLC- POSTGRES Role Management- POSTGRES Permission Management- POSTGRES Backup Strategies- POSTGRES Transaction Management/ SQL Transactions- POSTGRES/SQL Data Types- SQL Views- Redis Database- Elasticsearch- Connecting A Database To A Server/Web App (Node.js)- Data Engineering (Kafka, Hadoop, etc...)- Sharding- Replication- Backups- Vertical + Horizontal Scaling- Distributed vs Centralized Databases- Big Data + Analytics- Database Security (SQL Injections, Access Control, etc...)+ moreWith SQL you will be able to work with all databases like: PostgreSQL, MySQL, Oracle SQL, Microsoft SQL Server, IBM DB2, SQLite, MariaDB, Amazon Redshift, Presto, Apache Hive with Hadoop, and many many more because SQL is everywhere!You see, data is everywhere and it is the most valuable asset in the world. All the top companies need people that can work with data. That is where this course comes in. Unlike most tutorials out there, this course encompasses many fields working with many databases. Whether you want to get into the tech industry, you're a mobile or web developer, a data scientist, a machine learning engineer, a business analyst, even sales and marketing or you have your own company. Any role that requires you to work with data will need to know this valuable skill that is SQL (how to interact with databases, analyze, and use data). Here is the thing though. There are many courses on this topic. Let me tell you 3 reasons why this course is different from any other SQL/PostgreSQL/MySQL/Database tutorial online:1. In this course you will learn to work with not just 1 but many Databases like MySQL, PostgreSQL, Microsoft Server, Redis, and so much more. No prior programming or technical experience is necessary. We take you from absolute zero, all the way to mastery. We will go above and beyond to not just teach you SQL commands but to teach you advanced techniques, best practices, database design and how to think about performance, security, and scalability.2. This course is taught by actual professionals who have experience and have worked with databases for some of the largest companies in the world. Mo is a super star when it comes SQL. He has built software for the European Union, launched products for 5 Fortune 500 companies, and has consulted at Google. Andrei has worked on enterprise level apps for large tech firms in Silicon Valley as well as Toronto and has also taught others tech skills that got them into big companies like Google. By having both Andrei and Mo teach, you get to see different perspective and learn from 2 engineers as if you are working at a company together.3. We are going to have fun here. The course starts off with you getting hired at Keiko Corp to investigate their recent Database breach. Because we believe in learning by doing, you will be doing tons of real life assignments and exercises along the way, and eventually get to the point where you can help Keiko Corp solve their mystery by looking at their databases and analyzing hidden information. Our goals is that everyone has fun and is successful after completing the course :)This course is not about making you just watch along without understanding the principles so that when you are done with the course you don't know what to do other than watch another tutorial. No! This course will push you and challenge you to go from an absolute beginner in SQL and Databases to someone that is in the top 10% of SQL and Database experts!Taught By:Andrei is the instructor of the highest rated Development courses on Udemy as well as one of the fastest growing. His graduates have moved on to work for some of the biggest tech companies around the world like Apple, Google, Tesla, Amazon, JP Morgan, IBM, UNIQLO etc... He has been working as a senior software developer in Silicon Valley and Toronto for many years, and is now taking all that he has learned, to teach programming skills and to help you discover the amazing career opportunities that being a developer allows in life.Having been a self taught programmer, he understands that there is an overwhelming number of online courses, tutorials and books that are overly verbose and inadequate at teaching proper skills. Most people feel paralyzed and don't know where to start when learning a complex subject matter, or even worse, most people don't have $20,000 to spend on a coding bootcamp. Programming skills should be affordable and open to all. An education material should teach real life skills that are current and they should not waste a student's valuable time. Having learned important lessons from working for Fortune 500 companies, tech startups, to even founding his own business, he is now dedicating 100% of his time to teaching others valuable software development skills in order to take control of their life and work in an exciting industry with infinite possibilities.Andrei promises you that there are no other courses out there as comprehensive and as well explained. He believes that in order to learn anything of value, you need to start with the foundation and develop the roots of the tree. Only from there will you be able to learn concepts and specific skills(leaves) that connect to the foundation. Learning becomes exponential when structured in this way.Taking his experience in educational psychology and coding, Andrei's courses will take you on an understanding of complex subjects that you never thought would be possible.--------Mo is a Solutions Architect with over 7 years of experience in Software Architecture and Development. Having worked as a consultant for the majority of his career, he has seen it all.He has worked on global applications for multi-nationals, governments and Fortune 500 companies.Throughout his career he has seen every type of developer and development practice, and the one thing that he believes more than anything is that software development is a pragmatic team sport. Go fast alone, go far together!My main goal with instructing is to teach the foundational knowledge to set you up for life-long learning. Software and development practices change often, but when you have the right foundation adapting to the constant change becomes easy!See you inside the courses! Overview Section 1: Introduction Lecture 1 Course Outline Lecture 2 Join Our Online Classroom! Lecture 3 Exercise: Meet Your Classmates and Instructor Lecture 4 The Big Data Breach At Keiko Corp Lecture 5 Monthly Coding Challenges, Free Resources and Guides Section 2: History And Story Of Data Lecture 6 What Is a Database? Lecture 7 I Didn't Learn Anything, Try Again... Lecture 8 Database Management System (DBMS) Lecture 9 Exercise: Building Amazon Lecture 10 Exercise: Building Amazon 2 Lecture 11 5 Types Of Databases Lecture 12 Exercise: What Is A Database? Lecture 13 Section Review Section 3: Databases + SQL Fundamentals Lecture 14 SQL Playground Lecture 15 What Is SQL? Lecture 16 What Is A Query? Lecture 17 Exercise: Setting Up Your First Database Lecture 18 Imperative vs Declarative Lecture 19 History of SQL Lecture 20 Optional: History of SQL Deep Dive Lecture 21 Exercises: The Select Statement Lecture 22 SQL Standards Lecture 23 What Is A Database? Revisited Lecture 24 Database Oriented Approach Lecture 25 Exercise: SQL Starter Quiz Lecture 26 Database Models Lecture 27 Hierarchical And Networking Model Lecture 28 Relational Model Lecture 29 DBMS Revisited Lecture 30 Relational Model Revisited Lecture 31 Tables Lecture 32 Columns Lecture 33 Rows Lecture 34 Primary And Foreign Keys Lecture 35 OLTP vs OLAP Lecture 36 Exercise: OLTP vs OLAP Lecture 37 Exercise: Relational Model Quiz Lecture 38 Endorsements On LinkedIN Section 4: Environment Setup Lecture 39 Why PostgreSQL Lecture 40 Environment Tooling Lecture 41 Having Trouble Registering A Serial Key For ValentinaDB? Lecture 42 SQL Tooling Alternatives Lecture 43 Command Line 101 Lecture 44 Getting Help With The Setup Lecture 45 WINDOWS Setup Lecture 46 Optional: Setting Up Windows For Command Line Lecture 47 MAC Setup Lecture 48 MAC Commandline tools Lecture 49 LINUX Setup Lecture 50 Importing The Databases Lecture 51 Exercise: Imposter Syndrome Section 5: SQL Deep Dive Lecture 52 Query Along Lecture 53 Starting With Query Lecture 54 Exercise: Simple Queries Lecture 55 Changing Column Names in a SELECT Query Lecture 56 Concat Function Lecture 57 What Is A Function In SQL? Lecture 58 Aggregate Functions Lecture 59 Exercise: Aggregate Functions Lecture 60 Commenting Your Queries Lecture 61 Common SELECT Mistakes Lecture 62 Filtering Data Lecture 63 AND and OR Lecture 64 Exercise: Filtering Data Lecture 65 The NOT Keyword Lecture 66 Exercise: The Where Clause Lecture 67 Comparison Operators Lecture 68 Exercise: Comparison Operators Lecture 69 Logical Operators Lecture 70 Operator Precedence Lecture 71 Operator Precedence 2 Lecture 72 Operator Precedence Extra Lecture 73 Exercise: Operator Precedence Lecture 74 Checking For NULL Values Lecture 75 IS Keyword Lecture 76 NULL Coalescing Lecture 77 Exercise: Null Value Coalescing Lecture 78 3 Valued Logic Lecture 79 Exercise: 3 Valued Logic Lecture 80 BETWEEN + AND Lecture 81 Exercise: BETWEEN + AND Lecture 82 IN Keyword Lecture 83 Exercise: IN Keyword Lecture 84 LIKE Lecture 85 Exercise: Like Keyword Lecture 86 Dates And Timezones Lecture 87 Setting Up Timezones Lecture 88 How Do We Format Date And Time? Lecture 89 Timestamps Lecture 90 Date Functions Lecture 91 Date Difference And Casting Lecture 92 Age Calculation Lecture 93 Extracting Information Lecture 94 Intervals Lecture 95 Exercise: Date and Timestamp Lecture 96 DISTINCT Lecture 97 Exercise: Distinct Keyword Lecture 98 Sorting Data Lecture 99 Exercise Sorting Data Lecture 100 Multi Table SELECT Lecture 101 Inner Join Lecture 102 Self Join Lecture 103 Outer Join Lecture 104 Less Common Joins Lecture 105 Inner-Join Exercises Lecture 106 USING Keyword Section 6: Advanced SQL Lecture 107 GROUP BY Lecture 108 Group By Exercises Lecture 109 HAVING Keyword Lecture 110 Having Exercises Lecture 111 Ordering Grouped Data Lecture 112 Group By Mental Model Lecture 113 Grouping Sets Lecture 114 Rollup Lecture 115 Window What? Lecture 116 Looking Through The Window Lecture 117 PARTITION BY Lecture 118 Order By Acting Strange Lecture 119 Using Framing In Window Function Lecture 120 Solving For Current Salary Lecture 121 FIRST_VALUE Lecture 122 LAST_VALUE Lecture 123 SUM Lecture 124 ROW_NUMBER Lecture 125 Window Function Exercises Lecture 126 Conditional Statements Lecture 127 Conditional Statement Exercise Lecture 128 NULLIF Lecture 129 NULLIF Exercise Lecture 130 Views...What Are They Good For? Lecture 131 View Syntax Lecture 132 Using Views Lecture 133 Views Exercises Lecture 134 Indexes Lecture 135 Index Types Lecture 136 Index Algorithms Lecture 137 Quick Note On Index Algorithms Lecture 138 What Are Subqueries? Lecture 139 Subqueries vs Joins Lecture 140 Subquery Guidelines As Types Lecture 141 Using Subqueries Lecture 142 Quick Note: Titles For Employees Lecture 143 Getting The Latest Salaries Lecture 144 Subquery Operators Lecture 145 Subquery Exercises Section 7: Database Management Lecture 146 Before We Get Started Lecture 147 Time To Create Some Stuff! Lecture 148 Types Of Databases In A RDBMS Lecture 149 Default PostgreSQL Database Lecture 150 Template Databases Lecture 151 Creating A Database Lecture 152 Database Organization Lecture 153 Roles In Postgres Lecture 154 Role Attributes And Creation Lecture 155 Creating Users And Configuring Login Lecture 156 Privileges Lecture 157 Granting Privileges and Role Management Lecture 158 Best Practices For Role Management Lecture 159 Data Types & Boolean Type Lecture 160 Storing Text Lecture 161 Storing Numbers Lecture 162 Storing Arrays Lecture 163 Data Models And Naming Conventions Lecture 164 CREATE TABLE Lecture 165 Extra information on CREATE TABLE Lecture 166 Column Constraints Lecture 167 Table Constraints Lecture 168 Regexes! Lecture 169 UUID Explained Lecture 170 Custom Data Types And Domains Lecture 171 Creating The Tables For ZTM Lecture 172 Extra information on ALTER TABLE Lecture 173 Adding Students And Teachers Lecture 174 Creating A Course Lecture 175 Adding Feedback To A Course Lecture 176 A Tale Of 2 Feedbacks Lecture 177 SQL Exercises Lecture 178 SQL Quiz Lecture 179 Backups And Why They Are Important Lecture 180 Backing Up In Postgres Lecture 181 Restoring A Database Lecture 182 Transactions Section 8: Solving The Mystery Lecture 183 Clue #1 and #2 Lecture 184 Getting ready to solve the Mystery! Lecture 185 Clue #3 Lecture 186 Exercise: Solving The First Clues Lecture 187 Solution: Solving The First Clues Lecture 188 Clue #4 Lecture 189 Exercise: Clue #4 Lecture 190 Solution: Clue #4 Lecture 191 Clue #5 and #6 Lecture 192 Exercise: Clue #5 and #6 Lecture 193 Solution: Clue #5 and #6 Lecture 194 Solving The Mystery Section 9: Database Design Lecture 195 System Design And SDLC Lecture 196 SDLC Phases Lecture 197 System Design Deep Dive Lecture 198 Top-Down vs Bottom-Up Lecture 199 DRIVEME Academy Lecture 200 Top Down Design Lecture 201 ER Model Lecture 202 Step 1: Determining Entities Lecture 203 Tooling For Diagramming Lecture 204 DRIVEME Academy Entities Lecture 205 Step 2: Attributes Lecture 206 Relational Model Extended Lecture 207 Relational Schema And Instance Lecture 208 Super Key and Candidate Key Lecture 209 Primary Key and Foreign Key Lecture 210 Compound Composite And Surrogate Key Lecture 211 DRIVEME Attributes Lecture 212 Step 3: Relationships Lecture 213 DRIVEME Relationships Lecture 214 Step 4: Solving Many To Many Lecture 215 Step 5: Subject Areas Lecture 216 DRIVEME Subject Areas Lecture 217 Exercise: Painting Reservations Lecture 218 Exercise: Movie Theatre Lecture 219 Bottom Up Design Lecture 220 Anomalies Lecture 221 Normalization Lecture 222 Functional Dependencies Lecture 223 Functional Dependencies 2 Lecture 224 The Normal Forms Lecture 225 Going from 0NF to 1NF Lecture 226 Going from 1NF to 2NF Lecture 227 Going from 2NF to 3NF Lecture 228 Boyce-Codd Normal Form Lecture 229 Why 4NF And 5NF Are Not Useful Lecture 230 Exercise: Database Design Quiz Section 10: Database Landscape, Performance and Security Lecture 231 Bruno's Request Lecture 232 Scalability Lecture 233 Sharding Lecture 234 Replication Lecture 235 Backups Lecture 236 Distributed vs Centralized Databases Lecture 237 Database Security Lecture 238 Exercise: SQL Injection Lecture 239 Optional: All About Injections Attacks Lecture 240 Optional: Storing Passwords Lecture 241 Optional: How To Store Passwords Lecture 242 Relational vs NoSQL, PostgreSQL vs MongoDB Databases Lecture 243 Future Of Relational Databases Lecture 244 Elasticsearch Lecture 245 S3 Object Storage Lecture 246 Top Databases To Use Section 11: Where To Go From Here? Lecture 247 Thank You Lecture 248 LinkedIn Endorsements Lecture 249 Become An Alumni Lecture 250 Learning Guideline Lecture 251 Coding Challenges Section 12: Extras: Data Engineering (And the role of Machine Learning) Lecture 252 Big Data + Analytics Lecture 253 Quick Note: Upcoming Videos Lecture 254 Reviewing How We Got Here Lecture 255 Data Engineering Introduction Lecture 256 What Is Data? Lecture 257 What Is A Data Engineer? Lecture 258 What Is A Data Engineer 2? Lecture 259 What Is A Data Engineer 3? Lecture 260 What Is A Data Engineer 4? Lecture 261 Types Of Databases Lecture 262 Hadoop, HDFS and MapReduce Lecture 263 Apache Spark and Apache Flink Lecture 264 Kafka and Stream Processing Section 13: Extras: Redis Lecture 265 Quick Note: Upcoming Videos Lecture 266 What Is Caching? Lecture 267 Introducing Redis Lecture 268 Installing Redis Lecture 269 Redis Commands Lecture 270 Redis Data Types Lecture 271 Redis Hashes Lecture 272 Redis Lists Lecture 273 Redis Sets and Sorted Sets Lecture 274 Section Summary Section 14: Extra Bits: Databases In A Web App (with Node.js) Lecture 275 Quick Note: Upcoming Videos Lecture 276 Setting Up Your Database Lecture 277 Connecting To The Database Lecture 278 Registering A User Part 1 Section 15: BONUS SECTION Lecture 279 Bonus Lecture Both beginner and advanced professionals looking to learn modern SQL and Database principles,Professionals who are working with or will be working with databases and want to learn to work smart and efficiently using best practices,Everyone who is interested in one of the most in demand tech skill that will be around for many years to come: SQL,Developers, Data Scientists, Machine Learning Engineers, Business Analysts, Product Managers, Sales/Marketers, and anyone who uses data to make business decisions,Anyone interested in learning more about SQL, PostgreSQL, or basic data analysis to boost your resume Homepage https://www.udemy.com/course/complete-sql-databases-bootcamp-zero-to-mastery/ Download ( Rapidgator ) https://rapidgator.net/file/340551023f42553e91a6c16f34749e83/xiwgt.Complete.Sql.And.Databases.Bootcamp.Zero.To.Mastery.2022.part01.rar.html https://rapidgator.net/file/3490832f43ed3d9dc763e463bb1d3d7a/xiwgt.Complete.Sql.And.Databases.Bootcamp.Zero.To.Mastery.2022.part09.rar.html https://rapidgator.net/file/47830fa991c5860be0805ccdafe474cd/xiwgt.Complete.Sql.And.Databases.Bootcamp.Zero.To.Mastery.2022.part05.rar.html https://rapidgator.net/file/5d13690919d4c3dad458f3b7d1235b06/xiwgt.Complete.Sql.And.Databases.Bootcamp.Zero.To.Mastery.2022.part08.rar.html https://rapidgator.net/file/67f49c2f7226c640f2f275c2828f9b99/xiwgt.Complete.Sql.And.Databases.Bootcamp.Zero.To.Mastery.2022.part02.rar.html 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  3. Published 07/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 29 lectures (2h 5m) | Size: 681.1 MB Learn how to become a Data Wizard with SQL What you'll learn Use SQL to query data in databases Perform data analysis and extract useful insights Install and use PostgresSQL Create database objects - databases, schemas and tables Load datasets from external CSV files Query data with various types of filtering conditions Explore and count distinct values across the dataset Aggregate rows into groups Requirements Nothing specific is needed to start the training program Just bring a nice coffee (or tea), and a smile for a great starting vibe ;-) Description Data is Everywhere It is not a secret that data is everywhere; data is collected, processed, and accumulated in massive databases across all industry domains. As the technologies for handling data are evolving rapidly, the industry challenge is more focused on data utilization than data collection and storage. As a result, many organizations are looking for the right mix of people, tools, and products to help them pick up those piles of data, extract valuable insights and constantly gain market advantage. Becoming an SQL Wizard SQL is the most popular language to extract, load, and query data from databases. If you master SQL, you gain the amazing and useful flexibility to explore, filter and aggregate almost any raw data in multiple dimensions. SQL Wizards are needed everywhere. Level 1 - We are starting from scratch! The complete training program is divided into multiple sequential levels to let you grow your knowledge and understanding of SQL and data analysis. This level, level one is designed to kick off your knowledge about SQL and learn to perform various data analysis tasks Understand the industry terminology of SQL and databases Learn and practice the SQL syntax in step by step Create and load data into databases, schemas, and tables Analyze data using various filtering conditions and search patterns Explore and count distinct values across the dataset attributes Group rows and perform a calculation using aggregation functions Use alias for columns and tables And more We will use quizzes and exercises to practice and sharpen your understanding of the learning objectives. In any case, I am here for any questions. I wish you AWESOME learning and hope to see you inside! Who this course is for Anyone interested in learning about databases, SQL, data analysis and data analytics Homepage https://www.udemy.com/course/the-complete-sql-bootcamp-for-data-analysis-level-1/ Download ( Rapidgator ) https://rapidgator.net/file/29419d6b59d05d530a7d94105bffd8b7/mhiww.The.Complete.SQL.Bootcamp.for.Data.Analysis..Level.1.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/9414f5bcb3293d5F/mhiww.The.Complete.SQL.Bootcamp.for.Data.Analysis..Level.1.rar Download ( NitroFlare ) https://nitroflare.com/view/E214F71267C4BD1/mhiww.The.Complete.SQL.Bootcamp.for.Data.Analysis..Level.1.rar Links are Interchangeable - No Password - Single Extraction
  4. Last updated 12/2021 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 3.55 GB | Duration: 12h 26m The Key to Successful, Profitable, and Sustainable Future? Investing. (Learn How to Make Money in the Stock Market) What you'll learn How to read a company's summary page on Yahoo Finance Download historical stock prices Calculate rates of return and volatility measures Compare the risk and return profiles of different securities Calculate risk and return of a portfolio of stocks Understand the concepts of correlation and diversification Build the efficient frontier in Excel/Google Sheets Discover how to download a company's annual 10-K report and how to read it Understand the Modern Portfolio Theory and use the Capital asset pricing model to determine expected return on equity in stock valuation models Calculate the Sharpe and Treynor ratios, as well as indicators like M2 and Jensen's alpha You will also master fundamental valuation concepts such as fair and market value Distinguish between public and private equity securities Compare the market and book value of equities Calculate the intrinsic value of a stock using the Dividend discount model Explain why we use price multiples to value equity securities Perform industry analysis Use the industry life cycle model Define primary and secondary markets We will also calculate and interpret the value, price, and total return of an index Contrast the different weighting methods used in index construction Summarize the factors that affect market efficiency Characterize behavioral finance and its relevance to understanding market anomalies Review the principles of technical analysis Examine common chart patterns Requirements No prior knowledge is required A spreadsheet tool: Microsoft Excel (any version) or Google Sheets Description What are your financial goals?Do you want to supplement your traditional income?Are you planning for an early retirement?And ultimately, do you strive for financial freedom?On the way to achieving financial success, there are very few things that are as important as an in-depth understanding of where and how to invest.Don't leave your cash sitting in the bank just because the stock market feels too sophisticated.Whilst investment manager and mutual fund fees can be very expensive at times, you shouldn't let this stand in your way.To get ahead of the game, you can now learn how to invest on your own. Become a prepared investor who understands how the stock market functions.You don't need to be an expert in the field of finance. This course will help you unravel the defining concepts of financial markets, right from the get-go. You will learn about value investing and how to measure the performance of stocks, indexes, mutual funds, and ETFs.We will explain different risk measures, and you will get to know how to be a disciplined investor who is aware of the underlying volatility on the market. That way, you will be better able to earn a living with none of the guessing games and uncertainty.Put your resources to work and get a clear idea of what kind of investments are available to you today.This course aims at developing your financial skills and aptitude. The key thing to remember is that there is no magic bullet for making six- and seven-figure profits overnight. This isn't realistic and you should not trust anyone promising you such outcomes. It's all about governing your money properly!What we will do together is cover some very important topics that will build a solid foundation for becoming knowledgeable enough to invest in the stock market. Using your own analysis and forming your own ideas are two of the main skills you will acquire along the way.In this course, you will also learn how to:- Download financial data and interpret the data available in different financial sources- Calculate rates of return and volatility measures- Understand the concepts of correlation and diversification- Interpret the Modern Portfolio Theory and use the Capital asset pricing model to determine expected return on equity in stock valuation models- Build the efficient frontier in Excel- Calculate the Sharpe and Treynor ratios, as well as indicators like M2 and Jensen's alpha- Distinguish between public and private equity securities- Compute the intrinsic value of a stock using the Dividend discount model- Use the industry life cycle model- Define primary and secondary markets- Calculate and interpret the value, price, and total return of an index- Contrast the different weighting methods used in index construction- Characterize behavioral finance and its relevance to understanding market anomalies- Review the principles of technical analysis, and examine common chart patterns- Describe the different types of investors, and consider the various aspects of the asset management industryDon't forget that the course comes with Udemy's 30-day unconditional, money-back-in-full guarantee. And why not give such a guarantee, when we are sure the course will provide tons of value for you?Go ahead and subscribe now! Acquire these skills and leap at the opportunity to set yourself apart from the crowd. Take no chances when planning for your future! Let's start learning together today! Overview Section 1: What Does the Course Cover? Lecture 1 What Does the Course Cover? Lecture 2 How to Calculate Fair Value In Just 4 Minutes Section 2: Practical Concepts Lecture 3 Introduction Lecture 4 A Guide to Yahoo Finance (Part 1) Lecture 5 A Guide to Yahoo Finance (Part 2) Lecture 6 How to Download Historical Price Data in Excel (Yahoo Finance) Lecture 7 How to Download Historical Price Data in Excel (Google Finance) Lecture 8 Formatting a Spreadsheet Lecture 9 How to Download Financials Lecture 10 Stock vs. Index Fund Investing Lecture 11 The Most Popular Stock Indexes and Their Composition Section 3: Finance Fundamentals Lecture 12 How to Calculate Rates of Return Lecture 13 How to Calculate Rates of Return (Excel) Lecture 14 Mean, Variance and Covariance of Asset Returns Lecture 15 Variance and Standard Deviation of Returns (Excel) Lecture 16 Covariance and Correlation Between Two Stocks (Excel) Lecture 17 Portfolio Risk and Return Lecture 18 Portfolio Risk and Return (Excel) Lecture 19 Risk Aversion Lecture 20 Risk Aversion (Implications) Lecture 21 Risk Aversion (Practice questions) Lecture 22 Risk Aversion (Practice questions)_Answers with explanations Section 4: Interaction Between Assets Lecture 23 Major Asset Classes Lecture 24 Historical vs Expected Returns Lecture 25 The Correlation Coefficient Lecture 26 Investment Opportunity Set Lecture 27 Minimum-Variance Frontier Lecture 28 Minimum-Variance Frontier (Excel) Lecture 29 Capital Allocation Line Lecture 30 Optimal Risky Portfolio (Excel) Lecture 31 Capital Allocation Line (Excel) Lecture 32 Optimal Investor Portfolio Section 5: Portfolio Risk and Return Lecture 33 Two-fund Separation Theorem Lecture 34 CAL vs. CML Lecture 35 Systematic vs. Unsystematic Risk Lecture 36 Return-generating Models Lecture 37 Calculate and Interpret Beta Lecture 38 Regression analysis Lecture 39 How to Calculate Beta in Excel Lecture 40 Capital Asset Pricing Model (CAPM) Lecture 41 Security Market Line (SML) Lecture 42 Expected Return (CAPM) Lecture 43 CAPM (Applications) Lecture 44 Sharpe Ratio and M2 Ratio Lecture 45 Treynor Ratio and Jensen's Alpha Lecture 46 Performance Measures (Example) Section 6: Overview of Equity Securities Lecture 47 Equity Securities (Characteristics) Lecture 48 Voting Rights Lecture 49 Private vs. Public Equity Lecture 50 Non-domestic Stocks Lecture 51 Equity (Risk and Return) Lecture 52 The Role of Equity in Company Financing Lecture 53 Market vs Book Value of Equity Lecture 54 Return on Equity Lecture 55 Cost of Equity Section 7: Introduction to Industry and Company Analysis Lecture 56 Industry Analysis Lecture 57 Industry Classification Systems Lecture 58 Commercial Industry Classification Systems Lecture 59 Governmental Industry Classification Systems Lecture 60 Cyclical vs. Non-cyclical Firms Lecture 61 Peer Group Analysis Lecture 62 Industry Analysis (Elements) Lecture 63 Strategic Analysis (Principles) Lecture 64 Barriers to Entry Lecture 65 Industry Concentration Lecture 66 Industry Capacity Lecture 67 Industry Life-cycle Model Lecture 68 Representative Industries (Characteristics) Lecture 69 Industry Growth, Profitability, and Risk (External Influences) Lecture 70 Company Analysis (Elements) Lecture 71 Practice Questions Lecture 72 Practice Questions (Answers and Explanations) Section 8: Market Organization and Structure Lecture 73 Financial System (Functions) Lecture 74 Financial System (Purposes) Lecture 75 Equilibrium Interest Rate Lecture 76 Asset Classification Lecture 77 Security Types Lecture 78 Pooled Investment Vehicles Lecture 79 Currencies Lecture 80 Derivative Contracts Lecture 81 Real Assets Lecture 82 Financial Intermediaries Lecture 83 Dealers Lecture 84 Depository Institutions Lecture 85 Insurance Companies Lecture 86 Arbitrageurs Lecture 87 Clearinghouses and Custodians Lecture 88 Long and Short Position Lecture 89 Short Position Lecture 90 Leveraged Position Lecture 91 Leverage Ratio Lecture 92 Margin Call Lecture 93 Trade Order Lecture 94 Execution Instructions Lecture 95 Validity Instructions Lecture 96 Clearing Instructions Lecture 97 Primary vs. Secondary Market Lecture 98 Initial Public Offering (IPO) Lecture 99 Other Primary Market Transactions Lecture 100 Secondary Market Structures Lecture 101 Execution Mechanisms Lecture 102 Market Information Systems Lecture 103 Characteristics of a Well-functioning Financial System Lecture 104 Market Regulation Lecture 105 Practice Questions Lecture 106 Practice questions (answers and explanations) Section 9: Security Market Indexes Lecture 107 Security Market Index Lecture 108 Price and Total Return Lecture 109 Single-period Total Return Lecture 110 Index Value (Multiple Time Periods) Lecture 111 Index Construction and Management Lecture 112 Index Weighting Lecture 113 Equal Weighting Lecture 114 Market-capitalization Weighting Lecture 115 Float-adjusted Market-capitalization Weighting Lecture 116 Fundamental Weighting Lecture 117 Price-weighted Index (Value and Return) in Excel Lecture 118 Market-capitalization-weighted Index (Value and Return) in Excel Lecture 119 Equal-weighted Index (Value and Return) in Excel Lecture 120 Index returns (Excel) Lecture 121 Index Rebalancing Lecture 122 Market Indexes (Applications) Lecture 123 Equity Index Types Lecture 124 Fixed-Income Index Types Lecture 125 Alternative Investment Index Types Lecture 126 Security Market Indexes (Comparison) Lecture 127 Practice Questions Lecture 128 Practice Questions with Answers Section 10: Market Efficiency Lecture 129 Market Efficiency Lecture 130 Market vs. Intrinsic Value Lecture 131 Market Efficiency: Factors Lecture 132 Market Efficiency Forms Lecture 133 Market Efficiency Forms (Implications) Lecture 134 Market Anomalies Lecture 135 Market Anomalies (Types) Lecture 136 Momentum and Overreaction Anomalies Lecture 137 Cross-Sectional Anomalies Lecture 138 Other Market Anomalies Lecture 139 Behavioral Finance Section 11: Technical Analysis Lecture 140 Technical Analysis - Principles, Applications, Assumptions Lecture 141 Charts Used in Technical Analysis Lecture 142 Other Tools Used in Technical Analysis Lecture 143 Trend, Support and Resistance Lines Lecture 144 Common Chart Patterns Lecture 145 Price Indicators Lecture 146 Momentum Oscillators Lecture 147 Non-price Based Indicators Lecture 148 Technical Analysis - Cycles Lecture 149 Intermarket Analysis Section 12: Portfolio Management: An Overview Lecture 150 Portfolio Approach Lecture 151 Portfolio Management Process Lecture 152 Types of Investors Lecture 153 DB and DC plans Lecture 154 The Asset Management Industry Lecture 155 Mutual Funds Lecture 156 SMAs and ETFs Lecture 157 Hedge Funds Lecture 158 Private Equity Lecture 159 Practice Questions Lecture 160 Practice Questions with Answers Section 13: Equity Valuation: Concepts and Tools Lecture 161 Market vs. Intrinsic Value Lecture 162 Equity Valuation Models (Categories) Lecture 163 Dividend Payments Lecture 164 Dividend Payment Chronology Lecture 165 Dividend Discount Model (DDM) Lecture 166 Free-cash-flow-to-equity Model Lecture 167 Required Rate of Return (Common Equity) Lecture 168 Fundamental Value of Preferred Stock Lecture 169 Gordon Growth Model Lecture 170 Multistage Dividend Discount Model Lecture 171 Present Value Models-Overview Lecture 172 Multiplier Model Lecture 173 Common Price Multiples Lecture 174 Price Multiples Based on Fundamentals Lecture 175 Price Multiples Based on Comparables Lecture 176 Enterprise Value Multiples Lecture 177 Asset-based Valuation Model Lecture 178 Equity Valuation Models-Strengths and Weaknesses Lecture 179 Practice questions Lecture 180 Practice Questions with Answers Beginner investors,Individuals interested in investments,Investors who want to learn hands-on analysis techniques in Excel/Google Sheets,People who want to pursue financial freedom,Individuals who want to pursue a passive income lifestyle,Anyone interested in stock markets and financial securities Homepage https://www.udemy.com/course/the-complete-investor-bootcamp/ 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  5. Last updated 11/2020 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 5.26 GB | Duration: 12h 33m Build a Twitter Clone using HTML, CSS, CSS Flexbox, CSS Grid, and JavaScript. Master your Front End Web Developer Skills What you'll learn You will start from Basics of HTML and learn things like: Basic HTML Document, headings, paragraphs, lists, links, images, forms and much more. You will learn about the basic concepts of CSS: selectors, colors, text formatting, backgrounds, positions, pseudo-elements and classes, shadows and more... You will get deep understanding of CSS Flexbox You will learn how to manage the layout of you web page based on CSS Grid You will be able to build UI of Twitter based on HTML and CSS After completing HTML and CSS crash courses, you will move on and learn some basic concepts of JavaScript: variables, data types, objects, functions, arrays, loops and much more... You will learn about how to interact with HTML document using Document Object Model Once you are familiar with JavaScript and HTML, you will be able to add some functionality to the project Finally we will make the project fully responsive on different screen sizes Requirements Text Editor Modern Web Browser No prior knowledge is required Description Front End Web Development Bootcamp - Build a Twitter Clone.If you want to learn how the most popular and widely-used websites are created, then this is the right course for you.Throughout the course, we are going to build a clone of Twitter. The project will be created based on:1. HTML2. CSS3. CSS Flexbox4. CSS Grid5. JavaScript6. DOMBefore building the project, you will be able to go through the crash courses of all the mentioned technologies. We will start with HTML and CSS. After completing the following sections:HTML Crash CourseCSS Crash CourseCSS FlexboxCSS GridWe will build three different pages of Twitter - Main Page, Login Page and News Feed Page based on HTML and CSS. After that, comes:JavaScript Crash CourseDOM Crash CourseOnce we are familiar with JavaScript and DOM, we will add some functionality to our project. We will create some validation in order to navigate between different pages, also, you will be able to build different modal boxes, sidebar and dark mode.Finally, we will make our project fully responsive on different screen sizes, so, you'll be able to master the Responsive Web Design.If you have any questions throughout the course, then feel free and post them in the Q&A section, you will get fast and helpful answers.JOIN US!!! Overview Section 1: Welcome Lecture 1 Introduction Lecture 2 Setup Lecture 3 Source Files Section 2: HTML Crash Course Lecture 4 What Is HTML? Lecture 5 Basic HTML Document Lecture 6 Headings, Paragraphs and more... Lecture 7 Lists Lecture 8 Links Lecture 9 Images Lecture 10 Forms - Part 1 Lecture 11 Forms - Part 2 Lecture 12 HTML5 Semantic Elements Section 3: CSS Crash Course Lecture 13 What is CSS and how to write it Lecture 14 CSS Selectors Lecture 15 Colors in CSS Lecture 16 Text Formatting Lecture 17 Fonts Lecture 18 Box Model Lecture 19 Pseudo Classes Lecture 20 Pseudo Elements Lecture 21 Measurement units - Part 1 Lecture 22 Measurement units - Part 2 Lecture 23 Positions - Part 1 Lecture 24 Positions - Part 2 Lecture 25 Floats Lecture 26 Backgrounds - Part 1 Lecture 27 Backgrounds - Part 2 Lecture 28 Shadows Lecture 29 Transitions Lecture 30 Transforms - Part 1 Lecture 31 Transforms - Part 2 Section 4: CSS Flexbox Lecture 32 Introduction to CSS Flexbox Lecture 33 Flex Container Properties Lecture 34 Flex Item Properties Section 5: CSS Grid Lecture 35 CSS Grid Introduction Lecture 36 Setup Lecture 37 How to create Grid Lecture 38 Fractional Unit Lecture 39 How to position Grid Items Lecture 40 Naming Grid Items - Part 1 Lecture 41 Naming Grid Items - Part 2 Lecture 42 Naming Grid Areas Lecture 43 Explicit and Implicit Grids Lecture 44 Aligning Grid Items Lecture 45 Aligning Grid Track Lecture 46 max-content, min-content, minmax() Lecture 47 auto-fill and auto-fit Section 6: Project - Build a Twitter Clone (Main Page) Lecture 48 Project Overview Lecture 49 Create Structure of Main Page Lecture 50 Styling of Main Page - Part 1 Lecture 51 Styling of Main Page - Part 2 Lecture 52 Styling of Form Element Lecture 53 Styling of Banner Lecture 54 Styling of Footer Section 7: Project - Build a Twitter Clone (Login Page) Lecture 55 Create Structure of Login Page Lecture 56 Layout of the Page Lecture 57 Styling of Navigation Lecture 58 Styling of Login - Part 1 Lecture 59 Styling of Login - Part 2 Section 8: Project - Build a Twitter Clone (News Feed Page) Lecture 60 Create Structure of Navigation Lecture 61 Styling of Navigation Lecture 62 Create structure of News Feed Header Lecture 63 Styling of News Feed Header - Part 1 Lecture 64 Styling of News Feed Header - Part 2 Lecture 65 Create Structure of Posts Lecture 66 Styling of Posts Lecture 67 Create Structure of Section - "Who to follow" Lecture 68 Styling of "Who to Follow" Section Lecture 69 Create Post Button Section 9: JavaScript Crash Course Lecture 70 What is JavaScript? Lecture 71 Variables in JavaScript Lecture 72 JavaScript Data types Lecture 73 Operators Lecture 74 Type Coercion Lecture 75 Conditional Statements Lecture 76 Functions Lecture 77 Arrow Functions Lecture 78 Arrays Lecture 79 Objects Lecture 80 Loops Lecture 81 Template Strings Section 10: DOM Crash Course Lecture 82 What is DOM? Lecture 83 Select and manipulate the elements - Part 1 Lecture 84 Select and manipulate the elements - Part 2 Lecture 85 DOM styles and classes Lecture 86 Events Lecture 87 Manipulate the Attributes Lecture 88 DOM Navigation Lecture 89 How to Create Elements in DOM Section 11: Project - Build a Twitter Clone (Add JavaScript to Main and Login Page) Lecture 90 Navigate to Login Page Lecture 91 Main Page Validation Lecture 92 Create Modal Box Lecture 93 Login Page Validation Section 12: Project - Build a Twitter Clone (Post Modal Box) Lecture 94 Create Structure of Post Modal Lecture 95 Styling of Post Modal - Part 1 Lecture 96 Styling of Post Modal - Part 2 Lecture 97 Make Post Modal Work Section 13: Project - Build a Twitter Clone (Sidebar) Lecture 98 Create Structure of Sidebar Lecture 99 Styling of Sidebar - Part 1 Lecture 100 Styling of Sidebar - Part 2 Lecture 101 Make Sidebar Work Section 14: Project - Build a Twitter Clone (Dark Mode) Lecture 102 Create a Toggle Button Lecture 103 Switching to Dark Mode - Part 1 Lecture 104 Switching to Dark Mode - Part 2 Section 15: Project - Build a Twitter Clone (Responsive Web Design) Lecture 105 Make Main Page Responsive Lecture 106 Make Login Page Responsive Lecture 107 Make News Feed Page Responsive Section 16: BONUS Lecture 108 Bonus Lecture: Check Out Students who want to learn three core technologies of Front End We Development: HTML, CSS, and JavaScript,Students who have zero experience in programming,Students who have the basic knowledge of Front End Web Development and want to develop their skills,Students who want develop Web Design skills Homepage https://www.udemy.com/course/front-end-web-development-bootcamp-build-a-twitter-clone/ Download ( Rapidgator ) https://rapidgator.net/file/1c58f5a70899b1955d15b0097dc5df65/bpiba.Front.End.Web.Development.Bootcamp..Build.A.Twitter.Clone.part1.rar.html https://rapidgator.net/file/2f0b4da7c8d531b5e3df657a2fa44daa/bpiba.Front.End.Web.Development.Bootcamp..Build.A.Twitter.Clone.part4.rar.html https://rapidgator.net/file/79dced4a37d9de829a64ae8937f6ec67/bpiba.Front.End.Web.Development.Bootcamp..Build.A.Twitter.Clone.part6.rar.html https://rapidgator.net/file/8d97f982f5321ddb413dbec34b8afe0b/bpiba.Front.End.Web.Development.Bootcamp..Build.A.Twitter.Clone.part5.rar.html https://rapidgator.net/file/a3ac913bb730e7bb33d06e7cee426bf8/bpiba.Front.End.Web.Development.Bootcamp..Build.A.Twitter.Clone.part2.rar.html https://rapidgator.net/file/b4787eb313e8e71b110ca44683fea99f/bpiba.Front.End.Web.Development.Bootcamp..Build.A.Twitter.Clone.part3.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/0fbEa18c872C930e/bpiba.Front.End.Web.Development.Bootcamp..Build.A.Twitter.Clone.part3.rar https://uploadgig.com/file/download/13e3cBb10e3d9D5b/bpiba.Front.End.Web.Development.Bootcamp..Build.A.Twitter.Clone.part1.rar https://uploadgig.com/file/download/71cecAB54B2Eb484/bpiba.Front.End.Web.Development.Bootcamp..Build.A.Twitter.Clone.part2.rar https://uploadgig.com/file/download/7F4E259d6eb247D4/bpiba.Front.End.Web.Development.Bootcamp..Build.A.Twitter.Clone.part6.rar https://uploadgig.com/file/download/Ef6D951125622536/bpiba.Front.End.Web.Development.Bootcamp..Build.A.Twitter.Clone.part5.rar https://uploadgig.com/file/download/c402df945729Aa21/bpiba.Front.End.Web.Development.Bootcamp..Build.A.Twitter.Clone.part4.rar Download ( NitroFlare ) https://nitroflare.com/view/433C2C25A11E33C/bpiba.Front.End.Web.Development.Bootcamp..Build.A.Twitter.Clone.part6.rar https://nitroflare.com/view/6B7CDFCC7D8568D/bpiba.Front.End.Web.Development.Bootcamp..Build.A.Twitter.Clone.part5.rar https://nitroflare.com/view/84B09FDC84AB1FD/bpiba.Front.End.Web.Development.Bootcamp..Build.A.Twitter.Clone.part2.rar https://nitroflare.com/view/86748A3975C1706/bpiba.Front.End.Web.Development.Bootcamp..Build.A.Twitter.Clone.part1.rar https://nitroflare.com/view/9413D4EDA6792AD/bpiba.Front.End.Web.Development.Bootcamp..Build.A.Twitter.Clone.part4.rar https://nitroflare.com/view/DC882BA59B5039C/bpiba.Front.End.Web.Development.Bootcamp..Build.A.Twitter.Clone.part3.rar Links are Interchangeable - No Password - Single Extraction
  6. Published 07/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 90 lectures (9h 13m) | Size: 7.3 GB Learn Fundamentals of Microsoft Azure such as Virtual machines, Networking, etc. with examples, and Hands-On Practice! What you'll learn You will learn about Cloud Computing and different Services. You will learn about the Azure Virtual Machines and it's types. You will learn about Azure storages and its types. You will learn about the Azure Networking and it's lab. You will learn about Azure Directory and Management. You will learn about Azure Databases such as Azure SQL Databases, Azure Cosmos DB, Azure key vault, etc. You will learn about Azure Media and App services. Also you will Azure Containers and Kubernetes services. Requirements No prior knowledge is required. Good if known basics of Cloud Computing. Microsoft Azure Free trial Subscription. Description Welcome to this wonderful course on Microsoft Azure Fundamentals. Microsoft Azure is a cloud computing platform and online portal that allows you to access and manage cloud services and resources provided by Microsoft. Microsoft Azure is an example of a public cloud. These services and resources include storing your data and transforming it, depending on your needs. Offers a variety of cloud services including data processing, analytics, storage, and networking. From services, users can choose to develop and scale new applications or run existing applications in the public cloud. In this course, you will cover Introduction to Microsoft Azure. Learn about Azure Virtual machines and their types. Introduction and Implementation of Azure Storage. Learn and Implementing Networking in Microsoft Azure. Introduction and Implementation of Azure Active Directory and Management. Learn about Azure Databases. Learn about Azure Media and App Services. Learn about Azure Containers and Kubernetes Services. Not only this, you will get to attempt quizzes to test your knowledge. You will also have access to all the resources such as PPT files used in this course. Instructor Support - Quick Instructor Support for any queries. I'm looking forward to see you in the course! Enroll now and make the best use of this course. Who this course is for Anyone who is Beginner in Azure Platform. Anyone who wants to become System Administrators. Anyone who is Data Engineers or Data Scientist. Anyone looking forward to start career as Azure Data Engineer. Anyone who wants to build carrier in Cloud Services. 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  7. Last updated 8/2021 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 6.41 GB | Duration: 5h 48m Blockchain/Crypto | Financial Crime | Money Laundering | Terrorist Financing | AML & CTF | Regulation | Compliance Tools What you'll learn Understand the essentials of the blockchain technology Build a foundational knowledge of the complex universe of cryptocurrencies Explain how cryptocurrencies are currently used by criminals Discuss how cryptocurrencies are used for money laundering and explain money laundering methods Interpret the role of cryptocurrencies in terrorism financing Reflect on the limitations of cryptocurrencies in financial crimes Differentiate international cryptocurrency laws and regulations on a country-level Acquire an overview of methods and tools for an effective cryptocurrency compliance program Requirements An electronic device with online video-viewing or downloading capabilities To be interested in financial crime prevention, anti-money laundering, and compliance To be interested in understanding the role of blockchain technology and cryptocurrencies in financial crime Will not need business or legal expert knowledge, but a basic understanding is helpful Will not need working experience or previous knowledge in compliance or AML, but a basic understanding is helpful Description It was over one decade ago that the first cryptocurrency Bitcoin was invented. Since then, many things have changed, new cryptocurrencies were invented and eventually they became part of the products and services offered by large organizations. Large multinational corporations such as Goldman Sachs, Fidor Bank, Banco Masventas, Microsoft, AT&T, and Overstock, among others, have already integrated cryptocurrency-related products and services in their portfolios - and this is only just the beginning.The adoption of the blockchain technology and cryptocurrencies creates new challenges for organizations especially from a financial crime, compliance, and risk perspective.Professionals that are working in compliance, financial crime prevention, and risk management need to be aware of the many-faceted blockchain and cryptocurrency risk environment.But what is blockchain technology, what are cryptocurrencies, and how do they relate to financial crime and compliance? What are the important legal and regulatory aspects one needs to be aware of?More importantly, how do money laundering and terrorist financing using cryptocurrencies work and what compliance tools and methods can help organizations to protect themselves against the potential risks from engaging in blockchain technologies and cryptocurrencies.This online course is your Cryptocurrency Financial Crime Compliance Bootcamp!In this course you will learn all the basics and fundamentals about blockchain technology, cryptocurrencies, and how they related to financial crime and compliance.Certificate of Completion:Completing this course shows your dedication to fight financial crime and protect your organization against the potential risks from engaging in blockchain technologies and cryptocurrencies. Why not show that you have acquired specialized knowledge in the field of cryptocurrency financial crime prevention and compliance? This courses comes with a Certificate of Completion that you can use to show your newly acquired skills and improved professional value through a better understanding of cryptocurrency financial crime prevention and compliance.Additional Value:Throughout this course you can test your newly acquired knowledge with quiz questions. You will also find a great deal of additional resources as part of this course, including cheat sheets, checklists, questionnaires, tables, and more! Overview Section 1: Introduction to this course Lecture 1 Welcome Lecture 2 What you will learn and who this course is for Lecture 3 The case of cryptocurrency financial crime compliance Lecture 4 Invitation: Join the discussion in our private group on LinkedIn (Learn&Connect) Lecture 5 Download the Course Slides Section 2: What you need to know about Blockchain Lecture 6 What you will learn in this section Lecture 7 What is a Blockchain? Lecture 8 How does a blockchain work? Lecture 9 Making a practical example Lecture 10 Understanding the blockchain consensus mechanisms Lecture 11 What can you do with blockchain technology Lecture 12 Section Summary Lecture 13 Additional Resource: An Essential Guide to Blockchain Technology Section 3: What you need to know about Cryptocurrencies Lecture 14 What you will learn in this section Lecture 15 Understanding Cryptoassets Cryptocurrencies and Tokens Lecture 16 The Birthday Of Cryptoassets Initial Coin Offerings Lecture 17 What Can You Do With Cryptocurrencies Lecture 18 A Brief History Of Virtual Currencies And Cryptocurrencies Lecture 19 Section Summary Lecture 20 Additional Resource: An Essential Guide to Cryptocurrencies Section 4: Understanding the use of cryptocurrencies in financial crimes Lecture 21 What you will learn in this section Lecture 22 Why Cryptocurrencies Are Interesting For Criminals Lecture 23 What are the most relevant Cryptocurrencies for Criminals? Lecture 24 The Use Of Cryptocurrencies On Darknet Marketplaces Lecture 25 The Financial Crime Risk In Initial Coin Offerings Lecture 26 Limitations Of Cryptocurrencies For Financial Crimes Lecture 27 Section Summary Lecture 28 Additional Resource: Financial Crimes in Crypto Section 5: Understanding Cryptocurrency Money Laundering Lecture 29 What you will learn in this section Lecture 30 What is Money Laundering? Lecture 31 The 3 Stages Of Cryptocurrency Money Laundering Lecture 32 Cryptocurrency Money Laundering Using Virtual Currency Exchanges Lecture 33 7 Additional Methods Of Cryptocurrency Money Laundering Lecture 34 Section Summary Lecture 35 Additional Resource: Cryptocurrency Money Laundering Methods PDF Guide Section 6: Understanding Cryptocurrency Terrorist Financing Lecture 36 What you will learn in this section Lecture 37 What Is Terrorist Financing Lecture 38 The 4 Stages Of Cryptocurrency Terrorist Financing Lecture 39 The Role Of Cryptocurrencies In Terrorist Financing Lecture 40 Section Summary Lecture 41 Additional Resource: Terrorist Financing Checklist Section 7: Understanding International Crypto Laws and Regulations Lecture 42 What you will learn in this section Lecture 43 Clarifying The Legal Status Of Cryptocurrencies Lecture 44 Cryptocurrency Laws And Regulations In Asia Lecture 45 Cryptocurrency Laws And Regulations In Africa Lecture 46 Cryptocurrency Laws And Regulations In The Americas Lecture 47 Cryptocurrency Laws And Regulations In Europe Lecture 48 Cryptocurrencies Laws And Regulations In Other Regions Lecture 49 Section Summary Lecture 50 Additional Resource: Cryptocurrency Laws and Regulations PDF Guide Lecture 51 Additional Resource: Crypto Regulations Overview Lecture 52 Additional Resource: Most Recent Crypto Regulations around the World Lecture 53 Additional Resource: Detailed Regulation Reports for Selected Countries Section 8: Methods and Tools for an effective Cryptocurrency Compliance Program Lecture 54 What you will learn in this section Lecture 55 Defining The Cryptocurrency Risk Appetite Lecture 56 Performing the Cryptocurrency Financial Crime Risk Assessment Lecture 57 Monitoring Cryptocurrency Activity With Software Solutions Lecture 58 What Exactly Do Cryptocurrency Transactions Monitoring Tools Do? Lecture 59 Identifying Cryptocurrency Red Flags Lecture 60 Identifying Illicit Activity With Software Solutions Lecture 61 Section Summary Lecture 62 Additional Resource: AML Compliance Program Guide Section 9: Completing this Course Lecture 63 Congratulations Lecture 64 Get Your Certificate of Completion Professionals wanting to acquire and demonstrate specialized financial crime knowledge in cryptocurrencies,Professionals wanting to increase their value through better understanding of cryptocurrency financial crime prevention and compliance,Career starters and students wanting to build a foundational knowledge of the role that cryptocurrencies play in financial crime prevention and compliance,Anyone who is genuinely interested in cryptocurrencies and their relation to financial crimes Homepage https://www.udemy.com/course/blockchain-cryptocurrency-financial-crime-compliance/ Download ( Rapidgator ) https://rapidgator.net/file/2211e9a18acfaac13754652822efbdf0/aigfp.Cryptocurrency.Financial.Crime.Compliance.Bootcamp.part3.rar.html https://rapidgator.net/file/2d7c74a5a61ce1ca000896994217bd80/aigfp.Cryptocurrency.Financial.Crime.Compliance.Bootcamp.part6.rar.html https://rapidgator.net/file/4245edce34366871c74f52f9c3c0ccc6/aigfp.Cryptocurrency.Financial.Crime.Compliance.Bootcamp.part1.rar.html https://rapidgator.net/file/46662bdeb9df3e1b341f73eddca8f17b/aigfp.Cryptocurrency.Financial.Crime.Compliance.Bootcamp.part5.rar.html https://rapidgator.net/file/529f4695fce0090880e34a92c7bd1260/aigfp.Cryptocurrency.Financial.Crime.Compliance.Bootcamp.part2.rar.html https://rapidgator.net/file/853c4477000c7d7b33875a0ae398efd3/aigfp.Cryptocurrency.Financial.Crime.Compliance.Bootcamp.part4.rar.html https://rapidgator.net/file/c4a18bc96b7fdb25966979001ea39fa3/aigfp.Cryptocurrency.Financial.Crime.Compliance.Bootcamp.part7.rar.html Download ( NitroFlare ) https://nitro.download/view/0545C7995389D90/aigfp.Cryptocurrency.Financial.Crime.Compliance.Bootcamp.part2.rar https://nitro.download/view/2DA2CC6FBE83B3D/aigfp.Cryptocurrency.Financial.Crime.Compliance.Bootcamp.part6.rar https://nitro.download/view/37A5AC099505426/aigfp.Cryptocurrency.Financial.Crime.Compliance.Bootcamp.part3.rar https://nitro.download/view/5C486FEFF25070F/aigfp.Cryptocurrency.Financial.Crime.Compliance.Bootcamp.part1.rar https://nitro.download/view/65BAEF071D783E6/aigfp.Cryptocurrency.Financial.Crime.Compliance.Bootcamp.part5.rar https://nitro.download/view/B6258499ECB82DD/aigfp.Cryptocurrency.Financial.Crime.Compliance.Bootcamp.part4.rar https://nitro.download/view/E9DB9C9045C3946/aigfp.Cryptocurrency.Financial.Crime.Compliance.Bootcamp.part7.rar [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/080c897d7557b992/aigfp.Cryptocurrency.Financial.Crime.Compliance.Bootcamp.part3.rar https://uploadgig.com/file/download/1dc0E4e8b513c3E9/aigfp.Cryptocurrency.Financial.Crime.Compliance.Bootcamp.part6.rar https://uploadgig.com/file/download/8dc0Bfb8DD6ffFda/aigfp.Cryptocurrency.Financial.Crime.Compliance.Bootcamp.part1.rar https://uploadgig.com/file/download/8eFc0163b26c8142/aigfp.Cryptocurrency.Financial.Crime.Compliance.Bootcamp.part4.rar https://uploadgig.com/file/download/d039Fab3f027b803/aigfp.Cryptocurrency.Financial.Crime.Compliance.Bootcamp.part7.rar https://uploadgig.com/file/download/db7C599E6c58ec14/aigfp.Cryptocurrency.Financial.Crime.Compliance.Bootcamp.part5.rar https://uploadgig.com/file/download/eb6149d9E4433f36/aigfp.Cryptocurrency.Financial.Crime.Compliance.Bootcamp.part2.rar Links are Interchangeable - No Password - Single Extraction
  8. Last updated 3/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 7.89 GB | Duration: 18h 11m Beginners guide to Houdini FX 19 : The most powerful 3D application in the world. No prior knowledge required. What you'll learn You will learn how to create professional Explosions. You will have solid knowledge on how to use Houdini. You will learn how to create realistic oceans. You will learn how to create Destruction. You will learn how to Create full CG chocolate commercial using Houdini. You will learn how to make sand and snow effects in Houdini. You will learn how to use flip fluid solver inside Houdini. You will learn how to make rain effect. And much more.... You will fall in love with this software :). Requirements You must have passion to learn visual effects and Game effects. You must have passion to learn Houdini. You should know how to use the computer. Description Updates:New section: Big scale explosion in Houdini 19Barrel Explosion in Houdini 19: lectures number (68,69,70,71)Introduction to explosions in Houdini 19New lectures: 57,58,59New lectures: 21,22,23,53,54,55,56New section: Flip fluidsNew section (Introduction to Pyro in Houdini 19)Introduction section's outdated lectures are updated with new lectures and now is applicable in Houdini 19.-----------------------------------------------------------------------------------------------------------This is the best selling Visual Effects Course.You will not find like this course anywhere.No presentations, No time wasting, It's all about doing and creating.This Course is Projects based Course, so you will learn Houdini by creating effects!.This course is continually updated.Why you want to learn Houdini FX?Houdini FX is a visual effects and 3D animation software like Maya or Blender, but what makes Houdini different and unique is the procedural system and has very powerful dynamic system that other softwares don't have. You will be surprised about that.Houdini is the number 1 3D application that used in vfx, 3D animation studios and Game studios, Houdini can create high quality effects like water, explosions, fire and sand....Houdini now is used by Big Game studios, they save 100X of the time by creating tools that are used in their Game Engine or in unreal engine or unity.Knowing Houdini gives you very big advantage in the Game industry and in VFX companies.If you are Game developer you must know at least a little bit how Houdini works, this gives you very big advantage in Game studios. In my course I will just teach you how to use Houdini, not teaching you how to use it for games. After you watch my course then you will be able to learn how to use it for games and in game engines like unreal engine or unity. i,e: I will not teach you how to use it for games, I just will teach you Houdini.This course is very special, I will teach you how to use Houdini software to create interesting effects.I will make it fun to learn and I will simplify every thing for you.Take the course now and I promise you won't disappointed!Q&AIs Houdini free software? Yes its free for non commercial use,and it called Houdini apprentice.Is there any limitation in Houdini apprentice? No, you Have all the tools that the paid version has ,and you can render your shots too, but the images output restricted to 1280x720 when rendering.I am game developer,do I need to learn Houdini? Yes, you must at least know a the basics of Houdini.How Houdini is used in Game studios? Say for example you have a game and you want to fill it with more than 1000 buildings,imagine how long this will take you right? But in Houdini you can create 1 building and then export it as Digital asset(Plugin) to Unreal Engine or Unity,and in Unreal Engine you can scatter the building in your game and give random variation to each building,like the size,the color,windows size,Height,width and so on.... Imagine how much time you saved! instead of creating 1000 buildings,you created just 1 building in Houdini, Not just buildings,this works for(sieges,tables,chairs,streets......) Overview Section 1: Introduction Lecture 1 Promo Video Lecture 2 Advice for you Lecture 3 Quick Tour Lecture 4 Shortcuts for navigating in the viewport Lecture 5 Creating objects Lecture 6 Display and render flags Lecture 7 Link channels Lecture 8 Understanding Procedural Lecture 9 Creating Materials Lecture 10 Homework Lecture 11 Fixing the topology of the cheese model Lecture 12 Creating your first animation Lecture 13 Creating a Cup using curves Section 2: Houdini Core (Groups) Lecture 14 Creating groups by selection Lecture 15 Grouping by bounding box and normal Lecture 16 Group by Range Section 3: Houdini Core(Attributes) Lecture 17 Attributes Lecture 18 Attribute transfer Lecture 19 Attribute Randomize Section 4: Some Modeling stuff Lecture 20 Here you can download the files for this section Lecture 21 Modeling an oil Barrel Lecture 22 Add texture to the Oil Barrel Lecture 23 Creating Dollar symbol Lecture 24 Spider Web Lecture 25 Creating Organic Shape Section 5: Introduction to Pyro in Houdini 19 Lecture 26 Introduction Lecture 27 Explaining the smoke nodes Lecture 28 Caching the simulation Lecture 29 Creating a coffee steam Lecture 30 Candle effect Lecture 31 Creating a flipbook Lecture 32 Pyro fields and shapes Guide Lecture 33 Microsolvers Lecture 34 Gas Axis Force Lecture 35 Wheel burnout: Prepare the geometry Lecture 36 Wheel burnout: Creating the smoke Lecture 37 Fire intro Lecture 38 Aces color space Lecture 39 Creating the Fire Lecture 40 Shading the fire Lecture 41 Final touches in Nuke Lecture 42 How to Download Aces OCIO Lecture 43 Colored Smoke Lecture 44 Temperature diffusion and cooling Section 6: Flip Fluids in Houdini 19 Lecture 45 Flip Fluids section Demo Lecture 46 Intro to Flip Fluids Lecture 47 Particle fluid Lecture 48 Fluids Mix Lecture 49 Fluids Mix with one mesh Lecture 50 Adding forces to the Fluids Lecture 51 Viscosity Lecture 52 Viscosity attribute Lecture 53 Fixing issues caused by fast moving objects Lecture 54 Preparing the emitters Lecture 55 Creating the fluid Lecture 56 Adjusting the particle simulation Lecture 57 Creating and caching the mesh Lecture 58 Setup the background and camera Lecture 59 Setup the lighting and shading Lecture 60 Final touches inside nuke Section 7: Introduction to Explosions in Houdini 19 Lecture 61 Creating your first explosion Lecture 62 Enhancing the look of the explosion Lecture 63 Adding velocity boost Lecture 64 Pyro burst source Lecture 65 Pyro burst source blurry explosion Lecture 66 Creating Multiple explosions Lecture 67 Shockwave Lecture 68 Creating the barrel explosion Lecture 69 lighting and caching the explosion Lecture 70 Shading and rendering Lecture 71 Explosion final touches in Nuke Lecture 72 Creating trails for explosions Lecture 73 Adding fire to Trails Section 8: Big scale explosion in Houdini 19 Lecture 74 Downloadable resources Lecture 75 Creating the main explosion Lecture 76 Finish and cache the main explosion Lecture 77 Creating the Big shockwave Lecture 78 Creating the trails for big scale explosion Lecture 79 Adding volume light to the main explosion Lecture 80 Adding final touches for Big explosion in Nuke Section 9: Introduction to Rigid Bodies Lecture 81 Downloadable Resources Lecture 82 Understanding RBD Objects Lecture 83 Packed Primitives Lecture 84 Wall Destruction Lecture 85 Adding more details to the wall destruction Lecture 86 Tips for Destruction Lecture 87 Pin Constraint Lecture 88 Hinge Constraint Section 10: Particles Lecture 89 Creating particle Emitter Lecture 90 Creating Forces Lecture 91 Emitting from surfaces Manually Lecture 92 Filling a Text with particles Lecture 93 Curve Force Lecture 94 Animated Curves Section 11: Introduction to VOPs Lecture 95 Intro to VOPs Lecture 96 Clamp Lecture 97 Adding random scale. Section 12: Introduction to Vellum Lecture 98 Here you can download the files for this section (Vellum) Lecture 99 Note Lecture 100 Creating a Flag using Vellum Lecture 101 Attaching a cloth to Animated object Lecture 102 Pressure constraint Lecture 103 Continuous Emitting Section 13: Creating rain effect Lecture 104 Rain Effect introduction Lecture 105 Rain effect part 1 Lecture 106 Rain effect part 2 Lecture 107 Rain effect part 3 Section 14: Creating Sand and Snow Effect in Houdini Lecture 108 Fill an object with sand Lecture 109 creating the ground and cache the file Lecture 110 Upres the sand Lecture 111 creating the project folder Lecture 112 Importing the animation to Houdini Lecture 113 scale and clean the animation Lecture 114 setup the collision to the animation Lecture 115 creating the camera and the object to fill it with sand Lecture 116 fill the geometry with sand Lecture 117 creating High res sand Lecture 118 creating the snow effect Lecture 119 Adding variation to the particles Lecture 120 Adding material to the particles Lecture 121 Final result of thirty million particles Lecture 122 The Final result Lecture 123 Adding snow particles to the final render Lecture 124 Deform the Geometry with grain solver Section 15: RBD Material Fracture Lecture 125 Basics of RBD Material Fracture Lecture 126 Adding more details Lecture 127 Glass Fracture Section 16: Explosions in Houdini 16.5 (Legacy) Lecture 128 Note Lecture 129 Creating simple explosion part 1 Lecture 130 Creating simple explosion part 2 Lecture 131 Understanding the Source Volume Lecture 132 Timing your explosion Lecture 133 Gasoline Explosion Intro Lecture 134 Here you can download files for Gasoline explosion Lecture 135 Creating the explosion Lecture 136 Light,shade and render the explosion Lecture 137 Timing the explosion Lecture 138 Camera Shake Lecture 139 Desert Explosion intro Lecture 140 Desert Explosion advanced Lecture 141 Final touches in Nuke (Advanced) Section 17: Small scale Ocean Lecture 142 Small scale Ocean Lecture 143 Small scale ocean part 2 Section 18: Big scale Ocean Lecture 144 Big scale Ocean Section 19: Shark jumping from water Lecture 145 Shark part 1 Lecture 146 Shark part 2 Lecture 147 Shark part 3 Lecture 148 Note Section 20: Creating droplets effect Lecture 149 Downloadable Resources Lecture 150 Creating Droplets "Condensation" Section 21: Introduction to Pyro FX (Legacy) Lecture 151 Note Lecture 152 Introduction to the section (Pyro Solver) Lecture 153 Understanding the Voxels Lecture 154 Here you can download the files for this sections. Lecture 155 Creating smoke Emiter Lecture 156 Creating a Flipbook Lecture 157 Understanding the smoke Emitter Lecture 158 Understanding the pyro solver Lecture 159 Tip 01 Lecture 160 Homework Lecture 161 Homework answer Lecture 162 Prepare and Import the 3D wheel into the scene Lecture 163 Start creating the fire Lecture 164 Finishing and caching the fire on disk Lecture 165 Final touches on the fire Lecture 166 Candle resource download Lecture 167 Candle effect Section 22: Flip Fluid (Outdated) Lecture 168 Note Lecture 169 Here you can download the files of chocolate project. Lecture 170 Emitting Fluid from an Object Lecture 171 Fill a geometry with particles Lecture 172 creating the project folder Lecture 173 cache the particles Lecture 174 using expressions to animate the emitter Lecture 175 Meshing the particles Lecture 176 emitting from multiple emitters Lecture 177 How to add a different viscosity for each Emitter in Houdini 17.5 Lecture 178 setting activation keys for emitters Lecture 179 creating proxy for the collisions Lecture 180 creating the cache for all emitters Lecture 181 creating a mesh for every emitter Lecture 182 improving the mesh Lecture 183 optimizing the poly count and caching Lecture 184 load the cache and creating flipbook Lecture 185 what if you dont have the alembic files Lecture 186 Important talk Lecture 187 Loading the final result of the mesh Lecture 188 Creating materials in Houdini Lecture 189 creating materials for the static layers Lecture 190 creating the ground and the camera Lecture 191 Creating the environment light Lecture 192 shading the first layer Lecture 193 shading the second layer Lecture 194 Shading the third layer Lecture 195 shading the remaining static layers Anyone wants to learn how to create visual effects from scratch.,Game developers who want to power up their games using Houdini.,Any one who have passion to learn Houdini. 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  9. Last Updated 07/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 8 lectures (1h 59m) | Size: 1.23 GB ( Endpoint Security ) Kaspersky Endpoint Detection And Response Optimum Installed And Configured What you'll learn Comparing Between EPP & EDR Solutions And What Are Main Advantages Of EDR Over EPP Differentiate Between Version Of Kaspersky KES With EDR Optimum , How To Install Each Working With Kaspersky Web Console And Investigate Incident Cards With EDR Optimum Perform Host Isolation , Execution Prevention , Analysis Of Files , Network Connections And IOC Scans Requirements - Systems Basics - Networks Basics - Security Basics Description - During This Course Student will be able to install Kaspersky Endpoint Detection & Response Optimum and dicover it's main features . - Endpoint Protection Platform will be compared to endpoint detection and response and the main advantages of the last will be discovered . - Endpoint detection and response optimum is a solution consisting of two main applications ( endpoint agent & kaspersky endpoint security "below version 11.6" or kaspersky hybrid cloud or kaspersky for windows server ) . - In new versions of kaspersky endpoint security form version 11.7 and above , endpoint agent became part of the platform and user doesn't have to install both applications seperately and intergrate between them . - During this course we will use kaspersky security center "Web console" since we are using EDR and results will not be shown except in web console . - We will also see how to install the solution via the two methods ( Change application components OR Edit the application settings directly ) . - Then we will discover all the features of EDR optimum like discovering all the files , network connections , registery that threat can create on the machine . - Responses also will be discussed like ( Host isolation ; to completely isolate the pc from the network .. Execution prevention ;to prevent the execution of the threat form begining .. IOC Scan ; To search for specific md5 hash on other pcs in the network .. Who this course is for Network Security Engineers System Administrators IT Administrators Homepage https://www.udemy.com/course/glab-kaspersky-bootcamp-3-edr-optimum Download ( Rapidgator ) https://rapidgator.net/file/02ea3175ecb4791fe2f3b20a389f9036/cktmm.GLAB..Kaspersky.Bootcamp..3.EDR.Optimum..part2.rar.html https://rapidgator.net/file/b129c1a91e0e677a82f3b97d19865057/cktmm.GLAB..Kaspersky.Bootcamp..3.EDR.Optimum..part1.rar.html Download ( NitroFlare ) https://nitro.download/view/77CC88BD5519E87/cktmm.GLAB..Kaspersky.Bootcamp..3.EDR.Optimum..part2.rar https://nitro.download/view/A584C428D62F493/cktmm.GLAB..Kaspersky.Bootcamp..3.EDR.Optimum..part1.rar [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/5ecd8c52bC0f2353/cktmm.GLAB..Kaspersky.Bootcamp..3.EDR.Optimum..part2.rar https://uploadgig.com/file/download/b9e90b1BCdd1686a/cktmm.GLAB..Kaspersky.Bootcamp..3.EDR.Optimum..part1.rar Links are Interchangeable - No Password - Single Extraction
  10. Published 07/2022 Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 2.72 GB | Duration: 87 lectures • 6h 1m Become an Expert at Microsoft SQL! What you'll learn Use SQL to query a database Get a job as a junior Database developer Advanced SQL statements Use SQL to perform data analysis Be comfortable putting SQL and Microsoft SQL on their resume Learn to perform GROUP BY statements Replicate real-world situations and query reports Complete literal SELECT statements. Complete basic SELECT statements querying against a single table Filter data using the WHERE clause Sort data using the ORDER BY clause Using joins, return columns from multiple tables in the same query Understand the difference between the INNER JOIN, LEFT/RIGHT OUTER JOIN, and FULL OUTER JOIN Complete SQL statements that use aggregate functions Import Flat, .CSV, Excel to SQL Database Perform Secure Backup and Restore Full SQL Database task Write SELECT on Query Calculations to get Discount and Non Discount Sales Requirements No prior technical experience is required! All you need a computer! No software is required in advance of the course (all software used in the course is free) No pre-knowledge is required - you will learn from basic Description Learn how to use SQL quickly and effectively with this course! At this SQL course is without a doubt the most comprehensive database course available online. Even if you have zero SQL experience, this course will take you from beginner to mastery. Here's why You'll learn how to read and write complex queries to a database using one of the most in demand skills - Microsoft SQL Server. These skills are also applicable to any other major SQL database, such as MySQL, PostgreSQL, Amazon Redshift, Oracle, and much more. Learning SQL is one of the fastest ways to improve your career prospects as it is one of the most in demand tech skills! In this course you'll learn quickly and receive challenges and tests along the way to improve your understanding! The course is taught by the lead instructor having 20+ years of professional experience. We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a SQL developer. In this course you will learn everything you need to become a SQL Pro! Including Get started with Microsoft SQL Server and SQL Server Management Studio[SSMS], two of the world's most popular SQL tools Learn he basics of SQL syntax Analyzing data using aggregate functions with GROUP BY commands Running advanced queries with string operations and comparison operations Learn to use logical operators to add logic flow to your SQL queries Learn common SQL JOIN commands Learn to create tables and databases with constraints on data entries Learn to use Python to further advanced your SQL skills Learn to apply Flat file transaction data to import to SQL Import and Export .CSV or Excel files in to SQL Database Learn How to take Secure backup & restore database. Learn to write SELECT statements Learn to Create SQL scripts Applying Primary Key and Foreign Keys Creating Views and Accessing View Data Writing Stored Procedures for re-use SQL queries Dynamic SQL queries and Aggregate Functions Sub Queries to make complex queries SELECT on Query Calculations for Discount and Non Discount SALEs and much, much more! This is course that put's you in control, having you create and restore databases, instead of watching someone else code steps. Every section comes with fresh challenge tasks, modeled after real world tasks and situations. The course has been updated to be trending technology ready and you'll be learning the latest tools and technologies used at large companies such as Microsoft, Facebook, Google and Netflix. The curriculum was developed over a period of five years, with comprehensive student testing and feedback who are working and applying these query examples. and this course is built to combine the best of both worlds, allowing you to learn at your own pace through an interactive environment. You will start with the basics and soon find yourself working with advanced commands, dealing with timestamp data and variable character information like a seasoned professional. SQL is one of the most in demand skills for business analysts, data scientists, and anyone who finds themselves working with data! Upgrade your skill set quickly and add SQL to your resume by joining today! Check out the free preview videos for more information! By the end of this course, you will be fluently programming and be ready to make any application you can dream of. Sign up today, and look forward to HD Video Lectures SQL Query Challenges and SQL Query Exercises Beautiful Real-World dynamic Projects ABOUT YOUR INSTRUCTOR Sekhar Metla is a software engineer with 20 years of professional experience. He is the author of several online-selling courses with more than 30,000+ students in many countries. He has a Master of Science in Computer Applications as Software Engineering. His students describe him as passionate, pragmatic, and motivational in his teaching. What are you waiting join now to start learning how to make your own SQL Career TODAY :) Who this course is for Beginner SQL, Database, Query and DBA admin - developers curious about SQL Database Career Anyone who wants to generate new income streams Anyone who works with data, tables, or databases! Anyone who wants to become financially independent Anyone who wants to start their own business or become freelance Anyone who wants to become a Full stack web developer If you work in: marketing, finance, accounting, operations, sales, manufacturing, healthcare, financial services, or any other industry/function that collects information Someone who wants to learn skills that give them the potential to earn near SIX figures! 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  11. Published 07/2022 Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 2.72 GB | Duration: 87 lectures • 6h 1m Become an Expert at Microsoft SQL! What you'll learn Use SQL to query a database Get a job as a junior Database developer Advanced SQL statements Use SQL to perform data analysis Be comfortable putting SQL and Microsoft SQL on their resume Learn to perform GROUP BY statements Replicate real-world situations and query reports Complete literal SELECT statements. Complete basic SELECT statements querying against a single table Filter data using the WHERE clause Sort data using the ORDER BY clause Using joins, return columns from multiple tables in the same query Understand the difference between the INNER JOIN, LEFT/RIGHT OUTER JOIN, and FULL OUTER JOIN Complete SQL statements that use aggregate functions Import Flat, .CSV, Excel to SQL Database Perform Secure Backup and Restore Full SQL Database task Write SELECT on Query Calculations to get Discount and Non Discount Sales Requirements No prior technical experience is required! All you need a computer! No software is required in advance of the course (all software used in the course is free) No pre-knowledge is required - you will learn from basic Description Learn how to use SQL quickly and effectively with this course! At this SQL course is without a doubt the most comprehensive database course available online. Even if you have zero SQL experience, this course will take you from beginner to mastery. Here's why You'll learn how to read and write complex queries to a database using one of the most in demand skills - Microsoft SQL Server. These skills are also applicable to any other major SQL database, such as MySQL, PostgreSQL, Amazon Redshift, Oracle, and much more. Learning SQL is one of the fastest ways to improve your career prospects as it is one of the most in demand tech skills! In this course you'll learn quickly and receive challenges and tests along the way to improve your understanding! The course is taught by the lead instructor having 20+ years of professional experience. We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a SQL developer. In this course you will learn everything you need to become a SQL Pro! Including Get started with Microsoft SQL Server and SQL Server Management Studio[SSMS], two of the world's most popular SQL tools Learn he basics of SQL syntax Analyzing data using aggregate functions with GROUP BY commands Running advanced queries with string operations and comparison operations Learn to use logical operators to add logic flow to your SQL queries Learn common SQL JOIN commands Learn to create tables and databases with constraints on data entries Learn to use Python to further advanced your SQL skills Learn to apply Flat file transaction data to import to SQL Import and Export .CSV or Excel files in to SQL Database Learn How to take Secure backup & restore database. Learn to write SELECT statements Learn to Create SQL scripts Applying Primary Key and Foreign Keys Creating Views and Accessing View Data Writing Stored Procedures for re-use SQL queries Dynamic SQL queries and Aggregate Functions Sub Queries to make complex queries SELECT on Query Calculations for Discount and Non Discount SALEs and much, much more! This is course that put's you in control, having you create and restore databases, instead of watching someone else code steps. Every section comes with fresh challenge tasks, modeled after real world tasks and situations. The course has been updated to be trending technology ready and you'll be learning the latest tools and technologies used at large companies such as Microsoft, Facebook, Google and Netflix. The curriculum was developed over a period of five years, with comprehensive student testing and feedback who are working and applying these query examples. and this course is built to combine the best of both worlds, allowing you to learn at your own pace through an interactive environment. You will start with the basics and soon find yourself working with advanced commands, dealing with timestamp data and variable character information like a seasoned professional. SQL is one of the most in demand skills for business analysts, data scientists, and anyone who finds themselves working with data! Upgrade your skill set quickly and add SQL to your resume by joining today! Check out the free preview videos for more information! By the end of this course, you will be fluently programming and be ready to make any application you can dream of. Sign up today, and look forward to HD Video Lectures SQL Query Challenges and SQL Query Exercises Beautiful Real-World dynamic Projects ABOUT YOUR INSTRUCTOR Sekhar Metla is a software engineer with 20 years of professional experience. He is the author of several online-selling courses with more than 30,000+ students in many countries. He has a Master of Science in Computer Applications as Software Engineering. His students describe him as passionate, pragmatic, and motivational in his teaching. What are you waiting join now to start learning how to make your own SQL Career TODAY :) Who this course is for Beginner SQL, Database, Query and DBA admin - developers curious about SQL Database Career Anyone who wants to generate new income streams Anyone who works with data, tables, or databases! Anyone who wants to become financially independent Anyone who wants to start their own business or become freelance Anyone who wants to become a Full stack web developer If you work in: marketing, finance, accounting, operations, sales, manufacturing, healthcare, financial services, or any other industry/function that collects information Someone who wants to learn skills that give them the potential to earn near SIX figures! 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  12. Last updated 5/2021 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 4.94 GB | Duration: 3h 46m Fundamentals of Pastry at Home What you'll learn Baking Pies Cupcakes Chocolate Breads Cakes Macarons French Pastry Requirements No prerequisites Description Welcome to The Baking Bootcamp!! I'm so excited for you to start baking.Pastry Arts can be intimidatingAre you a great home cook, but just haven't taken the time to attempt desserts at home? Are you intimidated by baking recipes? Do you believe that baking is a science, and one wrong move will leave you with wasted time and ingredients?In this course, I'll show you how to tackle a range of baking recipes to increase your confidence and demystify the Pastry Arts. From cookie dough to ganache, pie to cake, we'll cover staple techniques that will improve your baking knowledge and make successful baking at home a reality!Baking can be tricky!There's a difference between reading a page of instructions and seeing a recipe being made in real time. The nuances of measuring, folding, whipping and baking can make the difference between a fairly good dessert and a great one.By learning the building blocks, you'll be able to take on any recipe you come across with the knowledge of how to put each step together properly.This course contains 6 Sections:Cookie doughWe'll talk about creaming methods, over vs. under mixing, and the role ingredients play in creating the perfect cookieChocolateWe'll discuss tempering, how to make the perfect ganache, and the beauty of "good" chocolateCakesWe'll mix up cake batters, discuss baking times, and the role gluten plays in cakeYeasted DoughsWe'll conquer brioche, pretzels and pizza from scratch, demystifying the use of yeast and the perfect combination of kneading and riseFrench PastryHave you attempted French macarons without success? Here's your chance to finally conquer this technique. We'll also turn homemade pate a choux into cream puffs and gougeres PiesThe perfect pie dough is within reach, along with a great use for frozen puff pastry, and the perfect key lime pieWhat my students have said: It was a very fun experience! Katie (the instructor) was very helpful in talking us through what/why we were doing and the entire class enjoyed it. - Michael G.Our bread workshop with Katie was fantastic! Not only educational and informative, the workshop was a lot of fun - and we came away with delicious baked goods that we made ourselves. Would absolutely take another class. - Kimberley P.This class was so much fun! Katie is a really great teacher, and I was amazed at how much we got done in the class. Highly recommend it. - Amanda D.So fun! Amazing instructor! Can't wait to sign up for more classes. - AnonymousKatie is a wonderful teacher and she offers useful tips. - Tina H.Awesome! I learned some new techniques and Katie is a great teacher. - Michael H.It was a lot of fun, I learned how to make pie crust and had a lot of laughs. Katie is a great teacher who makes everything fun! - AnonymousA great class! Katie was a fun and knowledgeable teacher - we all had a good time! - Sharon G.I hope you enjoy this class and the recipes that come with it. Good luck on your baking journey and I'm so happy to be a part of it! Overview Section 1: Introduction Lecture 1 Introduction Section 2: Cookie Dough Lecture 2 Chocolate Chip Cookie Cake Section 3: Chocolate Lecture 3 Chocolate Truffles Lecture 4 Mendiants Section 4: Cakes Lecture 5 Molten Chocolate Cake Lecture 6 Banana Bread Lecture 7 S'mores Cupcakes Section 5: Yeast Doughs Lecture 8 Pizza at Home Lecture 9 Soft Pretzels Lecture 10 Brioche Cinnamon Buns Section 6: Pies Lecture 11 Fruit Galette Lecture 12 Key Lime Pie Lecture 13 Hand Pies Section 7: French Pastry Lecture 14 Cream Puffs Lecture 15 Gougeres Lecture 16 Macarons Section 8: Thank you! 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  13. Published 07/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 17 lectures (3h 1m) | Size: 1.8 GB Installing Kaspersky Hybrid Cloud Security - Light Agent / Discovering Main Features And Run A Small PEN TEST What you'll learn Installing Kaspersky For Hybrid Cloud Environments ( Virtualization ) Specially Light Agent Discovering The Main Components Of Solution Defining Integration Server , Protection Server And Light Agent Configuring Security Policies And Needed Tasks Seeing How Solution Can Protect Machines From Advanced And Known Attacks & Malwares Requirements - Basic System Knowledge - Basic Networking Knowledge - Basic Security Knowledge Description During This Course Student Will Able To - Define The Main Features Of Kaspersky Hybrid Cloud Security For Virtualization . - See The Main Components Of Solution ( Integration Server , Protection Server "SVM" , Light Agent , Network Agent ) . - Differentiate Between Light Agent & Agentless . Why We Choose Light Agent ! . - Install Kaspersky Hybrid Cloud Security For Virtual Environments ( KSC , vCenter , Protection Sever , Pushing Light Agent To Windows Machines ) . - Configuring The Main Policies Of SVM And Light Agents And See The Main Components And Feature Of Each Policy . - Configuring The Main Needed Tasks For Each Application . - Comparing Kaspersky Light Agent With Kaspersky Endpoint Security For Windows , What's The Difference Between Both . - Launching A Quick Pen Testing On Our Device Has Kaspersky Light Agent On it And See It Will Defend Against Some Attacks And Malwares . - See How To Monitor What Happened From Kaspersky Security Center . With applying all the previous points on giant lab which simulates a real world corporate , student will be very familiar with what's happening in real world and he will be able to sign up for any cyber security profession . Also It's a real world lab course with integration between firewalls and other security solutions . Kaspersky is one of the most known vendor to secure endpoints with their different operating systems . Kaspersky hybrid cloud is very useful in environments who depend on virtualization concepts in their work . Who this course is for Systems Engineers Networks Engineers Cyber Security Engineers IT Admins Homepage https://www.udemy.com/course/glab-kaspersky-bootcamp-hybrid-cloud-security-vmware/ Download ( Rapidgator ) https://rapidgator.net/file/e0aaa96f952c5a42759e271640a2bc5a/bnokt.GLABKaspersky.Bootcamp..Hybrid.Cloud.SecurityVMware..part1.rar.html https://rapidgator.net/file/60dc3c314ac3a1afe76c76c8149380ec/bnokt.GLABKaspersky.Bootcamp..Hybrid.Cloud.SecurityVMware..part2.rar.html Download ( NitroFlare ) https://nitro.download/view/401DC798DC5BD19/bnokt.GLABKaspersky.Bootcamp..Hybrid.Cloud.SecurityVMware..part1.rar https://nitro.download/view/960CFD25F228A5C/bnokt.GLABKaspersky.Bootcamp..Hybrid.Cloud.SecurityVMware..part2.rar [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/b0710E6Cf7317405/bnokt.GLABKaspersky.Bootcamp..Hybrid.Cloud.SecurityVMware..part1.rar https://uploadgig.com/file/download/79415b71C912dfc0/bnokt.GLABKaspersky.Bootcamp..Hybrid.Cloud.SecurityVMware..part2.rar Links are Interchangeable - No Password - Single Extraction
  14. Published 07/2022 Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz Language: English | Size: 1.5 GB | Duration: 136 lectures • 4h 3m Learn Python in a day using the Replit IDE and work with data types such as Python string , Python list Python with+more What you'll learn You will become a Master of Python Programming fundamentals You will Learn how to install Python to get up and running in no time You will learn how to process data to create Olympics Medals Tables in a less than a day A massive boost in confidence applying as a Python Programmer for developer jobs How to solve multiple specific problems for a customer in the real world A complete overview of the basics with exercises to test your knowledge of storing, processing & storing information, working with files and much more... How to be fluent in writing python code and work with all the fundamentals of the language such as a list, string, function, dictionary, array, set & much more How to use Python's data analysis capabilities to analyse data from a real world data source You will be able to take this course with no prior knowledge and run the steps flawlessly Requirements No prior experience is required to take this course however the following are typical reasons You want to write high quality code with Python You want a Python Programming certificate for your resume or linkedin profile You need to gain a new highly desirable programming skill You want to transition into a Software Engineering/Programming/Development role You want a Refresher in Python Programming fundamentals You want to improve the performance of your team as Python Programmers You are preparing for a professional Python Programming certification Description Three reasons to TAKE THIS COURSE right now! The unique reasons for taking this course are: Complete, Concise, Confident Overview of Python Programming especially if preparing for a Python job, certification exam or you just need a refresher - You will be confident that you have a complete overview of Python fundamentals, because I teach all the basics accurately. Gain confidence and get your Python Programming Certificate - I teach you everything you need to know to gain confidence then award you a certificate of completion without going into a class room or spending 1000s of Dollars. I also give you a foundation you can use for an accredited Python certification. You get to ask me questions and see me respond to every single one of them thoughtfully! Includes Narration from Randal Schaffer What is Python ? Python is one of the most popular computer programming languages of our time and one of the most sought after skills for Software Engineering jobs. Created by Guido van Rossum in the late 1980s, it was designed to be very easy for us humans to understand. It's most popular uses are to create the engine which drives a website (also called the 'back end'), and for analysing and showing information (data analysis and presentation). Other popular uses are machine learning (artificial intelligence), education, and processing of images. Who should take is course? Whether you are a software engineer, software developer, computer programmer , web developer, transitioning into a new role or simply someone who wants to understand what makes Python tick, this is the place to start. If you are preparing for a Python certification or job role, this class is for you. What will I learn? In this class you will learn: Concise overview of Python Programming - The exact skills and principles you need to deliver a project using Python along with the tools you can use to create solid Python code. The fundamentals of Python used in Industry - The language constructs , tools and terminology to use as a Python programmer are essential to mastering it. We teach you to use Repl . it a popular online IDE to get you up to speed FAST no matter which computer or operating sytem you are using. Python Certification - To get certified I teach you the foundation of Python along with exercises to test your knowledge. You will collect a Python Programming Certificate once you have understood these points and completed the course. You will also have an excellent foundation for an accredited Python Programming certification. What are the pre-requisites? This course is video based with no supporting document necessary. I go through the fundamentals of Python and teach you how to use it with a simple tool so you can master the fundamentals in a day. How is the course structured? Each section features an overview of a particular aspect of Python such as What is Python , Getting set up , Storing information storing, processing and storing information, tidying messy data, working with files, handling errors, presenting information and much more. I teach you how to be fluent in writing python code and work with all the fundamentals of the language such as a list, string, function, dictionary, array, set and much more I give you exercises to test your knowledge and get you ready to program Python in under a day. Inspired by God, the Bible, my mother and the founder of Python Who this course is for Newbies, Software Developers, Intermediates, Experts, Those transitioning to Python, Software Engineers, Computer Programmers, Homepage https://www.udemy.com/course/python-programming-replit/ Download ( Rapidgator ) https://rapidgator.net/file/eb9e635e7a994d3ac3286e5092a03cfe/wgtwq.Python.Programming.for.BeginnersPython.Bootcamp.In.a.day.part1.rar.html https://rapidgator.net/file/b7ff207d9965bcfd65acae01dbc263cf/wgtwq.Python.Programming.for.BeginnersPython.Bootcamp.In.a.day.part2.rar.html Download ( NitroFlare ) https://nitro.download/view/C7DD740827CDC68/wgtwq.Python.Programming.for.BeginnersPython.Bootcamp.In.a.day.part1.rar https://nitro.download/view/9694932844994EA/wgtwq.Python.Programming.for.BeginnersPython.Bootcamp.In.a.day.part2.rar [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/835bf049e11361E3/wgtwq.Python.Programming.for.BeginnersPython.Bootcamp.In.a.day.part1.rar https://uploadgig.com/file/download/1d7f13f51c455D22/wgtwq.Python.Programming.for.BeginnersPython.Bootcamp.In.a.day.part2.rar Links are Interchangeable - No Password - Single Extraction
  15. Last updated 1/2018 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 741.59 MB | Duration: 1h 9m Are you ready to be the rockstar in your organic chemistry class? What you'll learn Learn the top 4 things that show up in every organic reaction Learn 3 key phrases that will dramatically improve your understanding of reaction mechanisms Discover there is really only one reaction mechanism you need to know Learn 2 key things to keep in mind when working on synthesis questions Discover a few reactions that will get you started on most synthesis questions Learn how to break down substitution and elimination into 2 categories Requirements You don't need any previous knowledge or tools. Description Let me know if any of this sounds familiar to you...Organic Chemistry - It's a weed-out course, many students fail, you will fail, it's hard, it's time consuming, it's complicated, you won't like it, good luck (with sarcasm), you won't have a life, you may have to take it again, it will wreck your GPA, it may keep you out of medicinal school.and on and on. The story we hear about something dramatically influences how we see and experience something.Now, I want to share with you a different story about organic chemistry. And this story is backed up by years of teaching the material.Organic chemistry is simple and easy to learn. There is a very effective and direct way to learn the material that allows you to start using it immediately. No matter where you are in the class, there are simple and effective ways to immediately increase your understanding and grade. Since I began teaching in 1998, I have been working on creating the simplest and most effective way for anyone to learn organic chemistry. And this course, as well as all my other courses, is what has come out of those efforts. Well, let's not waste anymore time...Let's get to it! Overview Section 1: Your Free Gifts Lecture 1 Thank you! Section 2: Introduction Lecture 2 Getting Started Lecture 3 Top 4 Things In Every Reaction Lecture 4 The Key Phrases Section 3: Functional Groups Lecture 5 Alkyl Halides Lecture 6 Alkenes Lecture 7 Alkynes Lecture 8 Carbonyls (Part 1) Lecture 9 Carbonyls (Part 2) Section 4: Example Problems Lecture 10 Examples (Part 1) Lecture 11 Examples (Part 2) Lecture 12 Examples (Part 3) Section 5: Special Topics Lecture 13 How to Approach Synthesis Lecture 14 Substitution and Elimination "Cheat Sheet" Anyone who is going to take or is currently taking organic chemistry Homepage https://www.udemy.com/course/organic-chemistry-from-rockstar-to-expert-in-1-hour/ Download ( Rapidgator ) https://rapidgator.net/file/53af55b6caef509d973ba86b58ba30fc/yjimq.Organic.Chemistry..The.Mechanism.And.Synthesis.Bootcamp.rar.html Download ( NitroFlare ) https://nitro.download/view/55948084E6EBA82/yjimq.Organic.Chemistry..The.Mechanism.And.Synthesis.Bootcamp.rar [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/2CfEF1f8bef36542/yjimq.Organic.Chemistry..The.Mechanism.And.Synthesis.Bootcamp.rar Links are Interchangeable - No Password - Single Extraction
  16. Published 07/2022 Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz Language: English | Size: 1.56 GB | Duration: 23 lectures • 1h 36m Prepare for success in your journey to become a software engineer. What you'll learn Identify the best practices to ensure your success before and during a bootcamp Explain the common mistakes and how to avoid them Design a plan for how to stay organized and maintain hight rate of learning during your immersive training experience. List what skills employers are looking for you to gain during the learning phase. Requirements No prior programming experience is needed to take this course. You will learn everything you need to be successful learning to code in less than 6 months. Description Many have tried, and failed. You can separate yourself from the pack and be prepared with the skills, tactics, and techniques of the most successful students at immersive coding bootcamps. This is valuable information everyone should have before they embark on the journey of learning to code over a very short period of time. How hard is an immersive coding BootCamp, or self teaching? Really hard. Most people say it's the hardest thing they have done in their entire life... But if you go into the process knowing what works and what doesn't you are much more likely to come away with a job. Ultimately this course covers the critical first step of squeezing every bit of knowledge from prior students so that you can learn the most at your bootcamp, prepare for the eventual interview, and have the skills to keep learning for first few years on the job. This course is designed to give you an overview of the entire process so that you know exactly what to expect and why things work the way they do in most programs. This is not intuitive stuff, but because it is so valuable I insist it is taught up front as part of any program I run. Now you can gain that same insider knowledge that I share with all my students. By the end of this course, you will know exactly what to expect in an immersive coding program, understand how to learn optimally during an intense program, be prepared for the challenges and obstacles you will face, and have the tools and techniques at your disposal to crush it during your journey. Let's get started! Who this course is for Beginner programmers and anyone that is thinking about attending a coding bootcamp. Homepage https://www.udemy.com/course/hacking-the-bootcamp/ Download ( Rapidgator ) https://rapidgator.net/file/0cf92c48261cf719983c7f4c577acc58/eqluv.Hacking.the.Bootcamp.part1.rar.html https://rapidgator.net/file/8e15a6f8c184313c2894f354c129e66a/eqluv.Hacking.the.Bootcamp.part2.rar.html Download ( NitroFlare ) https://nitro.download/view/2344509FD857C80/eqluv.Hacking.the.Bootcamp.part2.rar https://nitro.download/view/59AC7281289D59C/eqluv.Hacking.the.Bootcamp.part1.rar [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/68aEde46716082C5/eqluv.Hacking.the.Bootcamp.part2.rar https://uploadgig.com/file/download/De85c50db4Fcd607/eqluv.Hacking.the.Bootcamp.part1.rar Links are Interchangeable - No Password - Single Extraction
  17. Published 06/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 39 lectures (4h 5m) | Size: 2.6 GB Installing Kaspersky Security Center & Kaspersky Endpoint Security For Windows - Discovering the main features What you'll learn Be Familiar with kaspersky security center and KES for windows Install KES for windows and also kaspersky network agent Identify the needed policies on network firewalls to enable communication between kaspersky components Install the needed tasks and policies of KES for windows Protect your windows machine in multiple manners ( File , Web , Network and User Behaviour ) Control your windows machine in multiple manners ( Web , Device and App ) Learn how to make full disk encryption using KES for windows Monitoring all things related to your windows machines Learn how KES for windows will help you discover vulnerabilities on your windows machine and how it will patch them Requirements Network Basics Security Basics Systems Basics Description In This Course Student Will Learn The Main Features Of KSC & KES By Working On Giant Lab Which simulates a real world organization integrated with multiple vendors security solutions . First section will be an introduction to KSC and KES via a mini-book describing all the things will be explained in the labs sections , Second section will be the installation process of both KSC and KES via local method and remote method , Third section will be about the needed tasks after the installation finsihed , Fourth section will be about configuring the policy and discovering it's main features , Fifth section will be a quick example of penetration testing using kali linux on our machines have KES installed on them , Lastly some reports and monitoring techniques . With this course , student will be able to install KES via KSC ( MMC Console ) and configure the proper security rules on firewalls on it's path which happens in each real world environment . Kaspersky security center with KES installing is the basic introductory course student should start with to enter kaspersky world since there are multiple other solutions that are used in real world environment ( Kaspersky Hybrid Cloud , KES cloud , Kaspersky Endpoint Detection & Response Optimum , KES for Office 365 ) and so on Who this course is for Systems Engineers Enterprise Networks Engineers Network Security Engineers IT Engineers Homepage https://www.udemy.com/course/giant-lab-kaspersky-bootcamp-ksc-with-kes-for-windows/ Download ( Rapidgator ) https://rapidgator.net/file/774938e43c8fa48579337402f67aa2c4/odeqc.Giant.Lab..Kaspersky.Bootcamp..KSC.With.KES.For.Windows..part1.rar.html https://rapidgator.net/file/becf114e486dc2ce64129a1d5e1a7bd4/odeqc.Giant.Lab..Kaspersky.Bootcamp..KSC.With.KES.For.Windows..part3.rar.html https://rapidgator.net/file/ec633b87874f153bba0b38e0b64f094f/odeqc.Giant.Lab..Kaspersky.Bootcamp..KSC.With.KES.For.Windows..part2.rar.html Download ( NitroFlare ) https://nitro.download/view/0AC8953787C63FF/odeqc.Giant.Lab..Kaspersky.Bootcamp..KSC.With.KES.For.Windows..part1.rar https://nitro.download/view/500AA0F6C4C4AAF/odeqc.Giant.Lab..Kaspersky.Bootcamp..KSC.With.KES.For.Windows..part2.rar https://nitro.download/view/953B7FC33ADB51A/odeqc.Giant.Lab..Kaspersky.Bootcamp..KSC.With.KES.For.Windows..part3.rar [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/07bd29BF82ac2e24/odeqc.Giant.Lab..Kaspersky.Bootcamp..KSC.With.KES.For.Windows..part1.rar https://uploadgig.com/file/download/66D8cC10eADc00c7/odeqc.Giant.Lab..Kaspersky.Bootcamp..KSC.With.KES.For.Windows..part3.rar https://uploadgig.com/file/download/feeB8e3B901fe387/odeqc.Giant.Lab..Kaspersky.Bootcamp..KSC.With.KES.For.Windows..part2.rar Links are Interchangeable - No Password - Single Extraction
  18. Published 06/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 30 lectures (1h 13m) | Size: 391.3 MB Payments Fundamentals, Domestic & International Payment Systems (Fedwire, CHIPS, ACH, SWIFT); Fednow, Blockchain in PMT What you'll learn Domestic payment systems (Fedwire, CHIPS, and ACH) International payment system SWIFT SWIFT FIN MT • SWIFT Code • SWIFT MT message structure • SWIFT RMA and RMA plus • Direct payments, cover payments, and serial payments • SWIFT ISO 20022 SWIFT MT format Pain and pacs messages Global cashless transactions Innovations to payment services FedNow, SWIFT GPI, Blockchain technology (Stellar blockchain network and Ripple) Payments Payment ISO 20022 Message in International Trade Payment Gateway Requirements There are no prerequisites for this course. It has been structured to assist you in gaining payment skills more accessible and faster. Description PAYMENTS PROFESSIONALS BOOTCAMP Have you ever thought about how banks and financial institutions clear and settle payments between parties? You've probably used your phone to pay a bill or send money to a friend; it only takes a few seconds. But how does that happen? What if the other party is in another country and the payment has been made in a different currency? What systems are used by banks and financial institutions? You've probably heard about blockchain by now. However, did you know that blockchain is being employed to process payments? How secure is it? And what other innovative payment systems are being developed? This course is for you if you are unfamiliar with these topics and wish to learn about traditional and modern payment methods worldwide. The purpose of this course is to provide you with the principles and keys to understanding any global and domestic payment system. After completing this highly informative, lucid course, you will gain practical insight into the following topics Domestic payment systems (Fedwire, CHIPS, and ACH) International payment system (SWIFT) Which includes SWIFT FIN MT SWIFT Code SWIFT MT message structure SWIFT RMA and RMA plus Direct payments, cover payments, and serial payments SWIFT ISO 20022 SWIFT MT format Pain and pacs messages Global cashless transactions Innovations to payment services Which includes FedNow SWIFT GPI Blockchain technology (Stellar blockchain network and Ripple) Let's Start Who this course is for This course is for beginners or entry-level professionals who want to build up their payment skills and knowledge. Homepage https://www.udemy.com/course/payments-professionals-bootcamp/ Download ( Rapidgator ) https://rapidgator.net/file/0d9c1cc697c6db9f776272660a31d228/lqgws.Payments.Professionals.Bootcamp.rar.html Download ( NitroFlare ) https://nitro.download/view/D5EC836FA552B42/lqgws.Payments.Professionals.Bootcamp.rar [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/Ada09ba73Dee75Ea/lqgws.Payments.Professionals.Bootcamp.rar Links are Interchangeable - No Password - Single Extraction
  19. Published 06/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 16 lectures (1h 48m) | Size: 2.08 GB Quickly Learn the Fundamentals to Understand Non-Fungible Tokens What you'll learn Understand NFT's and what they are Learn the basics of NFTs and Blockchain Functionality How to Buy, Sell, Trade NFT's Essential vocabulary for NFT culture *this is very important* Requirements There is no pre-requisite to understanding NFT's. This course will explain all you need. Description So you've heard about NFT's but you still don't quite understand the concept of a Non-Fungible Token. You've seen that they can sell for hundreds of thousands of dollars. You've Googled as much as you can, you even tried finding videos on it. But nothing seems to answer your question. - Are you looking for a fast and easy way to understand Non-Fungible Tokens (NFTs), without wasting countless hours on Google? - Are you looking to make your first big sale on top NFT marketplaces? - Do you want to learn the vocabulary and fundamental concepts behind NFT markets? In a short time, get a full understanding and earn your certificate of completion in NFTs (Non-Fungible Tokens) from a veteran NFT expert by enrolling today. With over 6 figures invested into NFT's and the cryptocurrency space, I will teach you all I know from first hand experience. We will explore some of the driving forces behind NFT markets, the reason for it's value, how to make judgement calls on your favorite NFT's, how to read and time the market, and what NFT's to avoid. This course will save you hours of Googling, grinding on Discords, and researching Twitter. Trust me, I've done it :) This effective video course will help you understand NFTs, and how to Buy, Create and Sell your own NFTs without wasting unnecessary time and money (or rather Ether and cryptocurrency) through trial and error. You'll learn the key concepts including What are NFTs? Fundamental vocabulary for NFT culture. The markets behind NFT's Why you should invest in NFTs When you should invest in NFT's NFT blockchain basics How to read the NFT market Video "walkthroughs" of many concepts like minting an NFT from a contract, buying an NFT on OpenSea ...and much much more! This clear concise bootcamp style course will help you quickly master the foundational concepts of NFTs and guide you through all the fundamentals. Let's get started! Who this course is for Someone who wants to learn what NFTs are Artists who want to utilize NFTs Investor's who want to start investing in NFTs Homepage https://www.udemy.com/course/nft-bootcamp/ Download ( Rapidgator ) https://rapidgator.net/file/0056fa684ebe541509c46307a685c55a/qslcn.NFT.Bootcamp.Understanding..Decoding.NFTs.part1.rar.html https://rapidgator.net/file/8ce083fcbd5ae94160c39b31d4b1792d/qslcn.NFT.Bootcamp.Understanding..Decoding.NFTs.part2.rar.html https://rapidgator.net/file/bba20c237d1046f77260867915d83d66/qslcn.NFT.Bootcamp.Understanding..Decoding.NFTs.part3.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/910fBA7827a4ed1B/qslcn.NFT.Bootcamp.Understanding..Decoding.NFTs.part1.rar https://uploadgig.com/file/download/9921ed5c74146536/qslcn.NFT.Bootcamp.Understanding..Decoding.NFTs.part2.rar https://uploadgig.com/file/download/131e4D6217d4b3D3/qslcn.NFT.Bootcamp.Understanding..Decoding.NFTs.part3.rar Links are Interchangeable - No Password - Single Extraction
  20. Published 06/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 16 lectures (1h 48m) | Size: 2.08 GB Quickly Learn the Fundamentals to Understand Non-Fungible Tokens What you'll learn Understand NFT's and what they are Learn the basics of NFTs and Blockchain Functionality How to Buy, Sell, Trade NFT's Essential vocabulary for NFT culture *this is very important* Requirements There is no pre-requisite to understanding NFT's. This course will explain all you need. Description So you've heard about NFT's but you still don't quite understand the concept of a Non-Fungible Token. You've seen that they can sell for hundreds of thousands of dollars. You've Googled as much as you can, you even tried finding videos on it. But nothing seems to answer your question. - Are you looking for a fast and easy way to understand Non-Fungible Tokens (NFTs), without wasting countless hours on Google? - Are you looking to make your first big sale on top NFT marketplaces? - Do you want to learn the vocabulary and fundamental concepts behind NFT markets? In a short time, get a full understanding and earn your certificate of completion in NFTs (Non-Fungible Tokens) from a veteran NFT expert by enrolling today. With over 6 figures invested into NFT's and the cryptocurrency space, I will teach you all I know from first hand experience. We will explore some of the driving forces behind NFT markets, the reason for it's value, how to make judgement calls on your favorite NFT's, how to read and time the market, and what NFT's to avoid. This course will save you hours of Googling, grinding on Discords, and researching Twitter. Trust me, I've done it :) This effective video course will help you understand NFTs, and how to Buy, Create and Sell your own NFTs without wasting unnecessary time and money (or rather Ether and cryptocurrency) through trial and error. You'll learn the key concepts including What are NFTs? Fundamental vocabulary for NFT culture. The markets behind NFT's Why you should invest in NFTs When you should invest in NFT's NFT blockchain basics How to read the NFT market Video "walkthroughs" of many concepts like minting an NFT from a contract, buying an NFT on OpenSea ...and much much more! This clear concise bootcamp style course will help you quickly master the foundational concepts of NFTs and guide you through all the fundamentals. Let's get started! Who this course is for Someone who wants to learn what NFTs are Artists who want to utilize NFTs Investor's who want to start investing in NFTs Homepage https://www.udemy.com/course/nft-bootcamp/ Download ( Rapidgator ) https://rapidgator.net/file/0056fa684ebe541509c46307a685c55a/qslcn.NFT.Bootcamp.Understanding..Decoding.NFTs.part1.rar.html https://rapidgator.net/file/8ce083fcbd5ae94160c39b31d4b1792d/qslcn.NFT.Bootcamp.Understanding..Decoding.NFTs.part2.rar.html https://rapidgator.net/file/bba20c237d1046f77260867915d83d66/qslcn.NFT.Bootcamp.Understanding..Decoding.NFTs.part3.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/910fBA7827a4ed1B/qslcn.NFT.Bootcamp.Understanding..Decoding.NFTs.part1.rar https://uploadgig.com/file/download/9921ed5c74146536/qslcn.NFT.Bootcamp.Understanding..Decoding.NFTs.part2.rar https://uploadgig.com/file/download/131e4D6217d4b3D3/qslcn.NFT.Bootcamp.Understanding..Decoding.NFTs.part3.rar Links are Interchangeable - No Password - Single Extraction
  21. Last updated 3/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 5.68 GB | Duration: 26h 3m Level 1 CFA® Bootcamp: Ethics, Quantiative Methods, Corporate Finance, Economics, and Alternative Investments What you'll learn Prepare for the CFA® Level 1 exam Earn one of the most prestigious designations in finance and investment management Acquire a solid understanding of key business and finance disciplines Impress interviewers by showing a strong an understanding of finance fundamentals and advanced topics concepts Study Ethics, Quantitative Methods (Statistics and Probability), Corporate Finance, Economics, and Alternative Investments Understand the Global Investment Performance Standards (GIPS) Learn about the time value of money, discounted cash flow applications, statistical concepts and market returns, probability and probability distributions, sampling and estimation, hypothesis testing, and technical analysis Acquire an understanding of corporate governance, capital budgeting, cost of capital, measures of leverage, and working capital management Gain an understanding of fundamental topics like demand and supply, firm and market structure, economic growth, business cycles, monetary trade and capital flows, and currency exchange rates Requirements No prior experience is required. We will start from the very basics Description We will help you prepare for the CFA® Level 1 Exam.A record number of candidates register to take the CFA® exams. Pursuing the credential is a rigorous process, which requires a lot of time and effort. And yet, many people around the world sign up for the CFA® exams. The reason is that a CFA® designation can move your resume to the top of the pile in a competitive job market.We are proud to present you a training bootcamp created by 365's team that aims to prepare you for the CFA® Level 1 exam provided by CFA Institute.The five topics we will cover here are:· Ethical and Professional Standards· Portfolio Management· Economics· Corporate Finance· Alternative InvestmentsThis Bootcamp has been designed as a supplement to the official study materials provided by the CFA Institute and should not be seen as a substitute for these materials. Our goal is to make your life a bit easier. The lessons we have prepared are consistent with the current CFA® Level 1 curriculum and exam structure (and will continue to be updated to ensure consistency over time). We cover all Learning Outcome Statements (LOS), and we have dedicated a separate video to each LOS. This ensures that together we will study the concepts that are likely to be tested on the exam.Why take our Bootcamp?· A successful track record on Udemy - over 1,750,000 students have enrolled in our courses· Experienced team - the authors of this course are finance professionals who have acquired significant practical experience (they have worked for companies like HSBC, Morgan Stanley, PwC, Coca Cola, etc.)· Carefully scripted and animated tutorials with plenty of real-world examples· A variety of practice questions at the end of each Reading to test your progress· Extensive case studies that will help you reinforce what you have learned· Excellent support: If you don't understand a concept or you simply want to drop us a line, you'll receive an answer in one or two business days· Dynamic: We don't want to waste your time! The instructors keep up a very good pace throughout the whole course.We will cover a wide variety of topics, including:EthicsEthics and trust in the investment profession, Code of Ethics and Standards of Professional Conduct, the Global Investment Performance Standards (GIPS)Quantitative MethodsThe time value of money, Discounted cash flow applications, Statistical concepts and market returns, Probability concepts, Common probability distributions, Sampling and estimation, Hypothesis testing, Technical analysisCorporate FinanceCorporate governance, Capital budgeting, Cost of capital, Measures of leverage, Working capital managementEconomicsDemand and supply analysis, The firm and market structures, Aggregate output and economic growth, Understanding business cycles, Monetary and fiscal policy, International trade and capital flows, Currency exchange ratesAlternative InvestmentsCategories of alternative investments, Potential benefits of alternative investments, Issues in valuing and calculating returns on alternative investmentsEach of these topics builds on the previous ones. And this is one of the considerable benefits you will gain by taking our Bootcamp. You will acquire valuable theoretical and practical skills that are necessary for a successful career in the world of investment management, investment banking, and corporate finance.Moreover, our focus is to teach topics that flow smoothly and complement each other. The course covers exam concepts at a fraction of the cost of traditional programs (not to mention the amount of time you will save).We are happy to offer an unconditional 30-day money-back in full guarantee. No risk for you. The content of the course is excellent, and this is a no-brainer for us, as we are certain you will love it.Why wait? Every day is a missed opportunity.Click the "Buy Now" button and become a part of our program today.*CFA Institute does not endorse, promote, review or warrant the accuracy or quality of the products or services offered by 365 Careers or Udemy. The CFA Institute Logo, CFA®, and Chartered Financial Analyst® are just a few of the trademarks owned by CFA Institute.** *Please note that the Bootcamp will be split into two courses on Udemy. The reason is that the sheer length of topics we have covered does not allow us to have a single course; Overview Section 1: What Does the Course Cover? Lecture 1 What Does the Course Cover? Lecture 2 Welcome Gift Section 2: How to Use a Financial Calculator Lecture 3 Introduction Lecture 4 Setting Up the Financial Calculator Lecture 5 Basic Calculations Lecture 6 Time Value of Money Lecture 7 Cash Flow Analysis Lecture 8 Statistics Lecture 9 Depreciation and Breakeven Section 3: 365 Formula Sheet Lecture 10 365 Formula Sheet Section 4: Ethics - Ethics and Trust in the Investment Profession Lecture 11 LOS Overview Lecture 12 Ethics Explained Lecture 13 The Role of a Code of Ethics for Defining a Profession Lecture 14 Challenges to Ethical Behavior Lecture 15 The Need for High Ethical Standards in the Investment Industry Lecture 16 Ethical vs. Legal Standards Lecture 17 CFA® Ethical Decision-Making Framework Section 5: Ethics - Code of Ethics and Standards of Professional Conduct Lecture 18 LOS Overview Lecture 19 Structure of the CFA® Institute Professional Conduct Program Lecture 20 Components of the Code of Ethics® and the Standards of Professional Conduct® Lecture 21 Ethical Responsibilities Required by the Code and Standards Lecture 22 Practice Questions (Code of Ethics and Standards of Professional Conduct) Lecture 23 Practice Questions with Answers (Code of Ethics and Standards of Professional..) Section 6: Ethics - Guidance for Standard I-VII Lecture 24 LOS Overview Lecture 25 Professionalism, I A Knowledge Of The Law Lecture 26 Professionalism, I B Independence and Objectivity Lecture 27 Professionalism, I C Misrepresentation Lecture 28 Professionalism, I D Misconduct Lecture 29 Integrity of Capital Markets, II A Material Non-Public Information Lecture 30 Integrity of Capital Markets, II B Market Manipulation Lecture 31 Duties to Clients, III A Loyalty, Prudence, and Care Lecture 32 Duties to Clients, III B Fair Dealing Lecture 33 Duties to Clients, III C Suitability Lecture 34 Duties to Clients, III D Performance Presentation Lecture 35 Duties to Clients, III E Preservation of Confidentiality Lecture 36 Duties to Employers, IV A Loyalty Lecture 37 Duties to Employers, IV B Additional Compensation Arrangements Lecture 38 Duties to Employers, IV C Responsibilities of Supervisors Lecture 39 Investment Analysis, Recommendations, and Actions, V A Diligence and Reasonable Lecture 40 Investment Analysis, Recommendations, and Actions, V B Communication With Client Lecture 41 Investment Analysis, Recommendations, and Actions, V C Record Retention Lecture 42 Conflicts of Interest, VI A Disclosure of Conflicts Lecture 43 Conflicts of Interest, VI B Priority of Transactions Lecture 44 Conflicts of Interest, VI C Referral Fees Lecture 45 Responsibilities as a CFA® Institute Member or CFA® Candidate, VII A Lecture 46 Responsibilities as a CFA® Institute Member or CFA® Candidate, VII B Lecture 47 Standards of Professional Conduct - Overview Section 7: Ethics - Introduction to the Global Investment Performance Standards® Lecture 48 LOS Overview Lecture 49 The Global Investment Performance Standards® Lecture 50 Composites Construction Lecture 51 Requirements for Verification Section 8: Ethics - Global Investment Performance Standards (GIPS®) Lecture 52 LOS Overview Lecture 53 Key Features of GIPS® Lecture 54 Fundamentals of Compliance Lecture 55 Scope of GIPS® Lecture 56 GIPS® Implementation Lecture 57 Overview of the Global Investment Performance Standards® Lecture 58 Practice Questions (Global Investment Performance Standards®) Lecture 59 Practice Questions with Answers (Global Investment Performance Standards®) Lecture 60 GIPS® Overview Section 9: Quantitative Methods - Time Value of Money Lecture 61 LOS Overview Lecture 62 Time Value of Money Lecture 63 How to Use a Timeline to Depict Time Value of Money Problems Lecture 64 How to Interpret Interest Rates Lecture 65 Interest Rates as the Sum of Several Components Lecture 66 Calculate and Interpret an Investment's Effective Annual Rate Lecture 67 The Relationship between PV and FV Lecture 68 Solving Different Time Value of Money Problems Lecture 69 The Importance of Compounding Frequencies Lecture 70 Ordinary Annuity Lecture 71 Annuity Due Lecture 72 Perpetuity Lecture 73 FV and PV of Unequal Cash Flows Lecture 74 Calculate the Monthly Payment of a Mortgage Loan Lecture 75 Let's Calculate the Number of Years it Takes to Achieve a Financial Goal Lecture 76 What is the Rate of Return of an Investment? Lecture 77 The Cash Flow Additivity Principle Lecture 78 Practice Questions (Quantitative Methods - Time Value of Money) Lecture 79 Practice Questions (Answers with explanations) Section 10: Bonus-Discounted Cash Flow Applications-Not Included in Level 1 2020 Curriculum Lecture 80 LOS Overview Lecture 81 How to Interpret the Net Present Value (NPV) Lecture 82 Calculate NPV Lecture 83 Calculate an Investment's Internal Rate of Return (IRR) Lecture 84 Compare NPV and IRR Lecture 85 The Holding Period Return Lecture 86 The Money-Weighted Rate of Return Lecture 87 The Time-Weighted Rate of Return Lecture 88 Evaluate the Performance of Money Market Instruments Lecture 89 Alternatives to the Bank Discount Yield Lecture 90 Convert Among Yield Measures Lecture 91 Practice Questions (Quantitative Methods - Discounted cash flow applications) Lecture 92 Practice Questions (Answers with explanations) Section 11: Quantitative Methods - Statistical concepts and Market returns Lecture 93 LOS Overview Lecture 94 Fundamental Concepts of Statistics Lecture 95 Measurement Scales Lecture 96 Parameter, Sample statistic, and Frequency Distribution Lecture 97 Interpret Frequency Distributions Lecture 98 Graphical Representation Lecture 99 Measures of Central Tendency Lecture 100 Measures of Central Tendency - Mean, Median, Mode Lecture 101 Quartiles, Quintiles, Deciles and Percentiles Lecture 102 Range and Mean Absolute Deviation Lecture 103 Variance and Standard Deviation Lecture 104 Semi-variance and Semi-deviation Lecture 105 Chebyshev Inequality Lecture 106 Coefficient of Variation and Sharpe Ratio Lecture 107 Explain Skewness Lecture 108 Behavior of the Mean, Median, and Mode Lecture 109 Sample Skewness Lecture 110 Kurtosis Lecture 111 Compare the Use of Arithmetic and Geometric Means Section 12: Quantitative Methods - Probability Concepts Lecture 112 LOS Overview Lecture 113 Probability Definitions Lecture 114 The Two Defining Properties of Probability Lecture 115 Defining Probabilities as Odds Lecture 116 Dependent Events vs. Independent Events Lecture 117 Conditional Probability Lecture 118 The Addition Rule Lecture 119 The Multiplication Rule Lecture 120 The Total Probability Rule Lecture 121 Summary Lesson: Addition, Multiplication, and Total Probability Rules Lecture 122 Practical example: Total Probability Rule Lecture 123 Conditional Expectation in Investment Applications Lecture 124 The Relationship between Financial Securities Lecture 125 Calculating Covariance Lecture 126 Correlation Lecture 127 Expected Value Lecture 128 Calculating the Variance of a Random Variable Lecture 129 Portfolio Expected Returns and Variance Lecture 130 Covariance Based on a Joint Probability Function Lecture 131 Bayes Formula Lecture 132 Principles of Counting Section 13: Quantitative Methods - Common probability distributions Lecture 133 LOS Overview Lecture 134 Defining a Random Variable Lecture 135 Discrete and Continuous Random Variable Lecture 136 Cumulative Distribution Function Lecture 137 Practical Exercise Lecture 138 Uniform, Bernoulli, and Binomial Random Variables Lecture 139 Discrete Distribution Functions Lecture 140 Discrete Uniform Distribution Lecture 141 Binomial Distribution Lecture 142 Practical Exercise Lecture 143 Continuous Uniform Distribution Lecture 144 Properties of the Normal Distribution Lecture 145 Univariate vs. Multivariate Distributions Lecture 146 Comparison between Conclusions Draw with Chebyshev and Normal Distribution Lecture 147 Standard Normal Distribution Lecture 148 Using Z-values to Calculate Probabilities Lecture 149 Safety-first Ratio, Roy's Criterion for Portfolio Optimization Lecture 150 Lognormal Distribution Lecture 151 Discrete vs. Continuous Compounding Lecture 152 Monte Carlo Simulation Lecture 153 Historical Simulation Section 14: Quantitative Methods - Sampling and Estimation Lecture 154 LOS Overview Lecture 155 Statistical Inferences Lecture 156 Sampling Error Lecture 157 Stratified Random Sampling Lecture 158 Time Series vs. Cross-sectional Data Lecture 159 Central Limit Theorem Lecture 160 Standard Error of the Sample Mean Lecture 161 Estimator of a Population Parameter Lecture 162 Confidence Intervals Lecture 163 Student's T-distribution Lecture 164 Calculating Confidence Intervals - Known Variance Lecture 165 Calculating Confidence Intervals - Unknown Variance Lecture 166 Calculating Confidence Intervals - Variance Unknown, Large Sample Size Lecture 167 Sampling Bias Section 15: Quantitative Methods - Hypothesis Testing Lecture 168 LOS overview Lecture 169 Defining Hypothesis Testing Lecture 170 One and Two-sided Hypothesis Tests Lecture 171 What Is a Test Statistic? Lecture 172 The Type I and Type II Errors. Definition of Significance Level Lecture 173 What Is a Decision Rule? Lecture 174 How Do We Measure the Power of a Test? Lecture 175 The Relation Between Confidence Intervals and Hypothesis Tests Lecture 176 Statistically vs. Economically Meaningful Results Lecture 177 How Do We Measure and Use P-values? Lecture 178 Hypothesis Testing - Variance Known Lecture 179 Hypothesis Testing - Variance Unknown Lecture 180 Hypothesis Testing - Equality of Means (Equal and Unknown Variances) Lecture 181 Hypothesis Testing - Equality of Means (Unequal and Unknown Variances) Lecture 182 Hypothesis Testing - The Difference of Two Means Lecture 183 Testing for the Variance - Chi-Square Test Lecture 184 Parametric vs. Nonparametric Tests Section 16: Corporate Finance - Corporate Governance and ESG: An Introduction Lecture 185 LOS Overview Lecture 186 Corporate Governance: Description Lecture 187 Stakeholder Groups and Their Interests Lecture 188 Stakeholder Conflicts Lecture 189 Stakeholder Management Lecture 190 Governance Mechanisms Lecture 191 Board of Directors Lecture 192 Board of Directors Committees Lecture 193 Factors Influencing Corporate Governance Lecture 194 Corporate Governance: Risks and Benefits Lecture 195 Principles of Corporate Governance Analysis Lecture 196 Environmental Factors and Social Considerations in Investment Analysis Lecture 197 ESG Investing Lecture 198 ESG Investing vs Fiduciary Duties Lecture 199 Practice Questions (Corporate Governance and ESG: An Introduction) Lecture 200 Practice Questions (Answers with explanations) Section 17: Corporate Finance - Capital Budgeting Lecture 201 LOS Overview Lecture 202 The Capital Budgeting Process Lecture 203 Basic Principles of Capital Budgeting Lecture 204 Engaging with Multiple Projects at a Time Lecture 205 Net Present Value (NPV) Lecture 206 Net Present Value: Example Lecture 207 Internal Rate of Return (IRR) Lecture 208 Payback Period Lecture 209 Discounted Payback Period (DPBP) Lecture 210 Average Accounting Rate of Return (AAR) Lecture 211 Profitability Index (PI) Lecture 212 NPV Profile Lecture 213 Compare the NPV and IRR Methods Lecture 214 Problems Associated with IRR Lecture 215 The Relation Between NPV and Share Price Lecture 216 Practice Questions (Capital Budgeting) Lecture 217 Practice Questions (Answers with explanations) Section 18: Corporate Finance - Cost of Capital Lecture 218 LOS Overview Lecture 219 The Weighted Average Cost of Capital (WACC) Lecture 220 Effect of Taxes on the Cost of Capital Lecture 221 Use of Target Capital Structure in Estimating WACC Lecture 222 Marginal Cost of Capital (MCC) Lecture 223 The MCC's Role in Determining the NPV Lecture 224 Calculate the Cost of Debt Lecture 225 Cost of Preferred Stock Lecture 226 Calculate the Cost of Equity Lecture 227 Components of CAPM Lecture 228 Calculate the Cost of Equity with the Dividend Discount Model Lecture 229 Bond Yield Plus Risk Premium Approach Lecture 230 Calculate and Interpret Beta Lecture 231 Calculate a Project's Beta Lecture 232 Estimate the Cost of Equity for Developing Countries Lecture 233 Marginal Cost of Capital Schedule Lecture 234 Flotation Costs Lecture 235 Practice Questions (Cost of Capital) Lecture 236 Practice Questions (Answers with explanations) Section 19: Corporate Finance - Measures of Leverage Lecture 237 LOS Overview Lecture 238 Measures of Leverage Lecture 239 Business and Financial Risk Lecture 240 Calculate the Degree of Operating Leverage (DOL) Lecture 241 Calculate the Degree of Financial Leverage (DFL) Lecture 242 Calculate the Degree of Total Leverage (DTL) Lecture 243 The Effect of Financial Leverage on a Company's NI and ROE Lecture 244 Calculate the Breakeven Quantity of Sales Lecture 245 Calculate the Operating Breakeven Quantity of Sales Lecture 246 Practice Questions (Measures of Leverage) Lecture 247 Practice Questions (Answers with explanations) Section 20: Corporate Finance - Working Capital Management Lecture 248 Working Capital Management (Overview) Lecture 249 Working Capital Management (Definition) Lecture 250 Liquidity Management Lecture 251 Liquidity Measures Lecture 252 Asset Management Ratios Lecture 253 Payables Turnover Ratio Lecture 254 Liquidity Analysis (Example) Lecture 255 Operating and Cash Conversion Cycles Lecture 256 Net Daily Cash Position Lecture 257 Yields on Short-Term Securities Lecture 258 Investment Policy Statement Lecture 259 Accounts Receivable Management Lecture 260 Inventory Management Lecture 261 Accounts Payable Management Lecture 262 Short-term Bank Funding Sources Lecture 263 Short-term Non-bank Funding Sources Lecture 264 Practice questions (Working Capital Management) Lecture 265 Practice questions (Working Captial Management)-answers Section 21: Economics - Topics in Demand and Supply Analysis Lecture 266 LOS Overview Lecture 267 Basic Concepts Lecture 268 Elasticity Lecture 269 Income and Substitution Effects Lecture 270 Exceptions to the Law of Demand Lecture 271 Diminishing Marginal Returns Lecture 272 Break-even and Shutdown Analysis Lecture 273 Economies and Diseconomies of Scale Lecture 274 Practice Questions (Demand and Supply Analysis) Lecture 275 Practice Questions with Answers (Demand and Supply Analysis) Section 22: Economics - The Firm and Market Structures Lecture 276 LOS Overview Lecture 277 Market Structures Lecture 278 Perfect Competition Lecture 279 Monopolistic Competition Lecture 280 Oligopoly Lecture 281 Monopoly Lecture 282 Concentration Measures Lecture 283 Summary of Market Structures Lecture 284 Practice Questions (The Firm and Market Structures) Lecture 285 Practice Questions with Answers (The Firm and Market Structures) Lecture 286 Supplemental Materials Section 23: Economics - Aggregate Output, Prices, and Economic Growth Lecture 287 LOS Overview Lecture 288 GDP Calculation Lecture 289 GDP Calculation (Continued) Lecture 290 Nominal and Real GDP Lecture 291 The Expenditure Approach Lecture 292 The Income Approach Lecture 293 Fiscal Balance and Trade Balance Lecture 294 Aggregate Demand Lecture 295 Aggregate Supply Lecture 296 Shifts in Aggregate Demand Lecture 297 Shifts in Aggregate Supply Lecture 298 The Macroeconomic Equilibrium Lecture 299 The Effect of Combined Changes in AD and AS Lecture 300 Sources of Economic Growth Lecture 301 The Production Function Lecture 302 Practice Questions (Aggregate Output, Prices, and Economic Growth) Lecture 303 Practice Questions with Answers (Aggregate Output, Prices, and Economic Growth) Section 24: Understanding Business Cycles Lecture 304 LOS Overview Lecture 305 Business Cycle Phases Lecture 306 Resource Use and the Business Cycle Lecture 307 Housing Market and the Business Cycle Lecture 308 External Trade Sector and the Business Cycle Lecture 309 Theories of the Business Cycle Lecture 310 Types of Unemployment Lecture 311 Unemployment Measures Lecture 312 Inflation Lecture 313 Indexes Used to Measure Inflation Lecture 314 Uses and Limitations of Inflation Measures Lecture 315 Cost-Push and Demand-Pull Inflation Lecture 316 Economic Indicators Lecture 317 Practice Questions (Understanding Business Cycles) Lecture 318 Practice Questions with Answers (Understanding Business Cycles) Section 25: Monetary and Fiscal Policy Lecture 319 LOS Overview Lecture 320 Introduction to Monetary and Fiscal Policy Lecture 321 Functions of Money Lecture 322 Definitions of Money Lecture 323 The Money Creation Process Lecture 324 The Quantity Theory of Money Lecture 325 Theories of Money Demand and Supply Lecture 326 The Fisher Effect Lecture 327 Roles and Objectives of Central Banks Lecture 328 Costs of Expected and Unexpected Inflation Lecture 329 Monetary Policy Tools Lecture 330 The Monetary Transmission Mechanism Lecture 331 Qualities of Effective Central Banks Lecture 332 Monetary Policy and Economic Growth Lecture 333 Inflation, Interest Rate and Exchange Rate Targeting Lecture 334 Expansionary vs Contractionary Monetary Policy Lecture 335 Monetary Policy Limitations Lecture 336 Roles and Objectives of Fiscal Policy Lecture 337 Fiscal Policy Tools Lecture 338 Effective Tax Policy Lecture 339 Modeling the Impact of Taxes and Government Spending Lecture 340 The Ricardian Equivalence Lecture 341 National Debt-to-GDP Indicator Lecture 342 Fiscal Policy Limitations Lecture 343 Expansionary vs Contractionary Fiscal Policy Lecture 344 Monetary and Fiscal Policy Interaction Lecture 345 Practice Questions (Monetary and Fiscal Policy) Lecture 346 Practice Questions with Answers (Monetary and Fiscal Policy) Section 26: International Trade and Capital Flows Lecture 347 LOS Overview Lecture 348 Gross Domestic Product vs Gross National Product Lecture 349 Costs and Benefits of International Trade Lecture 350 Absolute vs. Comparative Advantage Lecture 351 Ricardian and Heckscher-Ohlin Models of Trade Lecture 352 Trade Restrictions Lecture 353 Trading Blocs Lecture 354 Capital Restrictions Lecture 355 Balance of Payments Lecture 356 Balance of Payments (continued) Lecture 357 International Trade Organizations Lecture 358 Practice Questions (International Trade and Capital Flows) Lecture 359 Practice Questions with Answers (International Trade and Capital Flows) Section 27: Introduction to Alternative Investments Lecture 360 LOS Overview Lecture 361 Alternative Investments vs. Traditional Investments Lecture 362 Categories of Alternative Investments Lecture 363 Hedge Funds Lecture 364 Private Equity Lecture 365 Real Estate Lecture 366 Other Types of Alternative Investments Lecture 367 Benefits of Alternative Investments Lecture 368 Hedge Funds - Fees and Returns Lecture 369 Valuation of Alternative Investments Lecture 370 Risk Management of Alternative Investments Lecture 371 Practice Questions (Introduction to Alternative Investments) Lecture 372 Practice Questions with Answers (Introduction to Alternative Investments) Lecture 373 Completing 100% CFA® Level 1 candidates,People interested in taking the CFA® exams,Individuals who are interested in a career in finance,Anyone who wants to learn Ethics, Quantitative Methods, Corporate Finance, Economics, Alternative Investments Homepage https://www.udemy.com/course/level-1-cfa-exam-prep-bootcamp/ Download ( Rapidgator ) https://rapidgator.net/file/0cf5a6de4eaf3909509be35a1644ce06/onpux.Level.1.Cfa.Exam.Prep.Bootcamp.Part.12.part1.rar.html https://rapidgator.net/file/0f016d34fbec5758a65928069b6d0ef0/onpux.Level.1.Cfa.Exam.Prep.Bootcamp.Part.12.part5.rar.html https://rapidgator.net/file/8bcec11c46abe35c957f52c73afe6890/onpux.Level.1.Cfa.Exam.Prep.Bootcamp.Part.12.part4.rar.html https://rapidgator.net/file/92e1db2fac9b9cd242a0c831342f10c0/onpux.Level.1.Cfa.Exam.Prep.Bootcamp.Part.12.part2.rar.html https://rapidgator.net/file/abd654f4a29723bd453f463b35ca8cad/onpux.Level.1.Cfa.Exam.Prep.Bootcamp.Part.12.part6.rar.html https://rapidgator.net/file/d38959d7a77e4939f9b579300c6dad70/onpux.Level.1.Cfa.Exam.Prep.Bootcamp.Part.12.part3.rar.html Download ( NitroFlare ) https://nitro.download/view/0A0BE1A5E2947E5/onpux.Level.1.Cfa.Exam.Prep.Bootcamp.Part.12.part6.rar https://nitro.download/view/2CEB67A163C7E2F/onpux.Level.1.Cfa.Exam.Prep.Bootcamp.Part.12.part4.rar https://nitro.download/view/431D9B3B1873817/onpux.Level.1.Cfa.Exam.Prep.Bootcamp.Part.12.part5.rar https://nitro.download/view/98B8B018BC7D53A/onpux.Level.1.Cfa.Exam.Prep.Bootcamp.Part.12.part1.rar https://nitro.download/view/C5CF8C317777C43/onpux.Level.1.Cfa.Exam.Prep.Bootcamp.Part.12.part3.rar https://nitro.download/view/CA8147A9A3B80E3/onpux.Level.1.Cfa.Exam.Prep.Bootcamp.Part.12.part2.rar [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/46ca2db7bfdB8687/onpux.Level.1.Cfa.Exam.Prep.Bootcamp.Part.12.part1.rar https://uploadgig.com/file/download/6546e6b608314A36/onpux.Level.1.Cfa.Exam.Prep.Bootcamp.Part.12.part2.rar https://uploadgig.com/file/download/7c7c3f82787fe734/onpux.Level.1.Cfa.Exam.Prep.Bootcamp.Part.12.part5.rar https://uploadgig.com/file/download/8319f866bbcFa599/onpux.Level.1.Cfa.Exam.Prep.Bootcamp.Part.12.part4.rar https://uploadgig.com/file/download/c88Ec11Fcaa6bed2/onpux.Level.1.Cfa.Exam.Prep.Bootcamp.Part.12.part6.rar https://uploadgig.com/file/download/cfe487b863ed2599/onpux.Level.1.Cfa.Exam.Prep.Bootcamp.Part.12.part3.rar Links are Interchangeable - 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  22. Published 06/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 38 lectures (2h 29m) | Size: 1.27 GB Basic Data Processing, Data Visualisation and Analysis With Excel- Most Common Excel Procedures For Beginners What you'll learn Get started with using Excel for basic data processing and analysis Carry out analytical tasks in Excel Data visualisation in Excel Basic statistical analysis in Excel Requirements Access to Microsoft Excel Interest in data processing and analysis Description If You Are... A business intelligence (BI) practitioner Data analyst Interested in gaining insights from data (especially financial, geographic, demographic and socio-economic data) Excel Is Your Friend for Common Business Data Analysis Tasks I'm Minerva Singh, and I'm an expert data scientist. I've graduated from 2 of the best universities in the world; MPhil from Oxford University (Geography and Environment), and a PhD holder in Computational Ecology from Cambridge University. I have several years of experience in data analytics and data visualization. My course aims to help you start with no prior/limited exposure to data analysis and become proficient in producing powerful visualizations and analyses with Microsoft Excel. You don't need any prior exposure to data analytics and visualization to get started with MS Excel. So if you have struggled with Excel, worry no more. After finishing my course you will be able to Read in and clean messy data in MS Excel Carry out common business data analytic tasks including filtering Carry out pre-processing and data summarization to glean insights from data Develop powerful visualisations with MS Excel Carry out basic statistical analysis using MS Excel If you take this course and it ever feels like a disappointment, feel free to ask for a refund within 30 days of your purchase, and you would get it at once. Become an expert in Data Analytics and Visualization with a new and powerful tool by taking up this course today! Who this course is for Beginner data analysts Students and professionals seeking to use Excel for data tasks Those looking to use Excel for basic data visualisations Those looking to use Excel for basic statistical modelling Homepage https://www.udemy.com/course/complete-excel-data-analysis-bootcamp-for-beginners/ Download ( Rapidgator ) https://rapidgator.net/file/e47632e2da8b29c336b933de63efbe67/tomfh.Complete.Excel.Data.Analysis.Bootcamp.For.Beginners.part1.rar.html https://rapidgator.net/file/4e7340ab364675cee173df3a00a8377b/tomfh.Complete.Excel.Data.Analysis.Bootcamp.For.Beginners.part2.rar.html Download ( NitroFlare ) https://nitro.download/view/5BA20C49B024AE2/tomfh.Complete.Excel.Data.Analysis.Bootcamp.For.Beginners.part1.rar https://nitro.download/view/28C38C509BB67C8/tomfh.Complete.Excel.Data.Analysis.Bootcamp.For.Beginners.part2.rar [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/47FCf5a85Dd45Fa1/tomfh.Complete.Excel.Data.Analysis.Bootcamp.For.Beginners.part1.rar https://uploadgig.com/file/download/C15cFAfbc9814Bd8/tomfh.Complete.Excel.Data.Analysis.Bootcamp.For.Beginners.part2.rar Links are Interchangeable - No Password - Single Extraction
  23. Published 6/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 50.63 GB | Duration: 91h 0m What You Get: Full Stats & Python| Full Machine Learning & Cloud Deployment| Deep Learning| Computer Vision & NLP What you'll learn Full Python For Data Science Course Full Statistics For Data Science Course Full Machine Learning Course Full Cloud Deployment Course Natural Language Processing(NLP) Full Deep Learning Course Computer Vision(CV) Instructor Guide to Virtual Internship Projects Learn Model Deployment on Amazon Web Service(AWS), Google Cloud(GCP), Microsoft Azure, Heroku, Flask API, Streamlit Hands-On Exercises, Projects, Assignements Requirements This is a Beginner to Advanced course and you do not need to have a prior knowledge or any prerequisites. The Instructor takes you right from the scratch till mastery. Your laptop and internet connection is required Your dedication to start and complete the course is highly recommended Description By far the most comprehensive, up-to-date, and credible Data Science course. The Full-Stack Data Scientist BootCamp® is the ONLY course on Udemy that covers A to Z of lessons that will make you a Data Scientist.Created by Dr. Bright, a Ph.D. in Data Science holder, former Microsoft Senior Data Scientist, and a Visiting Faculty at Worcester Institute, this course covers everything that you need to know to become a Full Stack Data Scientist.The instructors and advisors of the course spent over 13 months creating and vetting the course to make sure it meets the industry and academic standards.With 100 hours of quality course curriculum, this course is the same as we use for our 18 months MS in Data Science program on campus and even more exciting are the Projects in the course to make you more efficient and confident in building Data Science and Artificial Intelligence (AI) products. The motivation is to bring Quality Data Science education to every serious learner at affordable cost. Everyone who cannot to spend $30,000 plus on attaining a data science degree at a top tier institute or anyone who cannot spend considerable amount of time on campus away from their busy schedule.This course is meant for students and working professionals who wish to become Data scientists, Machine Learning Engineers, and AI professionals.Included in this course are:Full SQL Course from A-ZFull Python Course from A-ZFull Statistics for Data Science course from A-ZFull Machine Learning course from A-ZFull ML Model Cloud Deployment course A-ZFull Deep Learning course from A-ZFull Artificial Intelligence course from A-ZFull Computer Vision course from A-ZFull Natural Language Processing course from A-ZFull Microsoft Power BI course from A-ZReading Scientific Research PaperGithub for Data ScienceThe instructors and research assistants who created this course have done thorough research in developing this course and making sure to break the concepts down for your understanding taking into consideration people with different backgrounds and experience levels to enroll in this course.We understand the diversity of the audience that will enroll in this course, some with experience in the field and some completely new to the field, we understand that and we kept that in mind while creating the course. So don't worry, you are covered.The very instructors who created the course are going to be your MENTORS throughout the course so you will have someone to come to your aid whenever you get stuck or need help or any form of guidance.If you are interested in becoming a Full Stack Data Scientist, then this course is the right spot for you, and the ALL-in-ONE course to get you there. Overview Section 1: Data Science Overview Lecture 1 Part 1: Data Science Overview Lecture 2 What Is Data Science? Lecture 3 DA vs DS vs AI vs ML Lecture 4 Industries That Use and Hire Data Scientist Lecture 5 Applications of Data Science Lecture 6 Data Science Lifecycle and the Maturity Framework Lecture 7 Who is a Data Scientist? Lecture 8 Career Opportunities In Data Science Lecture 9 Typical Backgrounds of Data Scientists Lecture 10 The Ultimate Path To become a Data Scientist(Skills you need to develop) Lecture 11 Typical Salary of a Data Scientist Section 2: FULL SQL FOR DATA SCIENCE COURSE Lecture 12 Overview Section 3: SQL BEGINNER LEVEL Lecture 13 Introduction To SQL for Data Science Lecture 14 Types of Databases Lecture 15 What is a Query? Lecture 16 What is SQL? Lecture 17 SQL or SEQUEL? Lecture 18 SQL Installation Lecture 19 SQL Installation Guide For MacOS Lecture 20 SQL Installation Guide For Windows Lecture 21 Extra Help in Installing SQL Lecture 22 Overview of SQL workbench Section 4: SQL Commands Lecture 23 Introduction To SQL Commands Lecture 24 SQL CRUD Commands Section 5: Understanding and Creating SQL Databases Lecture 25 SQL Schema Lecture 26 Inserting Comments in SQL Lecture 27 Creating Databases Section 6: Understanding and Creating SQL Tables Lecture 28 Overview of SQL Table Section 7: Types Of SQL KEYS Lecture 29 Primary Key Lecture 30 Foreign Key Lecture 31 Composite Key Lecture 32 Super Key Lecture 33 Alternate Key Section 8: Data Types In SQL Lecture 34 SQL Data Types Section 9: CREATE Table and INSERT Data into Table Lecture 35 CREATE Table Lecture 36 INSERT Data Section 10: SQL Exercise & Solution Lecture 37 Exercise 1 and solution Section 11: SQL Constraints Lecture 38 Understanding SQL Constraints Lecture 39 NOT NULL & UNIQUE Constraints Lecture 40 DEFAULT Constraints Lecture 41 PRIMAY KEY Constraint Lecture 42 Alter SQL Constraint Lecture 43 Adding and Dropping SQL Constraint Lecture 44 Foreign Key Constraint Section 12: SQL INTERMEDIATE LEVEL Lecture 45 Creating Exiting Databases Lecture 46 Overview Of Existing Databases Lecture 47 The SELECT Statement in Details Lecture 48 The ORDER BY Clause Lecture 49 The WHERE Clause Lecture 50 Operation with SELECT statement Lecture 51 Aliasing in SQL Lecture 52 The DISTINCT Keyword Lecture 53 WHERE Clause with SQL Comparison operators Lecture 54 Exercise 2 and Solution Lecture 55 The AND, OR and NOT Operators Lecture 56 Exercise 3 and Solution Lecture 57 The IN Operator Lecture 58 Exercise 4 and Solution Lecture 59 The BETWEEN Operator Lecture 60 Exercise 5 and Solution Lecture 61 The LIKE Operator Lecture 62 Exercise 6 and Solution Lecture 63 The REGEXP Operator Lecture 64 Exercise 7 and Solution Lecture 65 IS NULL & IS NOT NULL Operator Lecture 66 Exercise 8 and Solution Lecture 67 The ORDER BY Clause in Details Lecture 68 The LIMIT Clause Lecture 69 Exercise 9 and Solution Section 13: SQL JOINS Lecture 70 Introduction To SQL JOINS Lecture 71 Exercise 10 and Solution Lecture 72 Joining Across Multiple Databases Lecture 73 Exercise 11 and Solution Lecture 74 Joining Table to Itself Lecture 75 Joining Across Multiple SQL Tables Lecture 76 LEFT and RIGHT JOIN Lecture 77 Exercise 12 and Solution Lecture 78 Exercise 13 and Solution Section 14: Working With Existing SQL Table Lecture 79 INSERTING Into Existing Table Lecture 80 INSERTING Multiple Data Into Existing Table Lecture 81 Creating A Copy of a Table Lecture 82 Updating Existing Table Lecture 83 Updating Multiple Records In Existing Table Section 15: SQL VIEW Lecture 84 Create SQL VIEW Lecture 85 Using SQL VIEW Lecture 86 Alter SQL VIEW Lecture 87 Drop SQL View Section 16: SQL Data Summarisation: Aggregation Functions Lecture 88 COUNT () Function Lecture 89 SUM() Function Lecture 90 AVG() Function Lecture 91 SQL Combined Functions Section 17: Advance SQL Functions Lecture 92 Count Function in Details Lecture 93 The HAVING() Function Lecture 94 LENGTH() Function Lecture 95 CONCAT() Function Lecture 96 INSERT() Function Lecture 97 LOCATE() Function Lecture 98 UCASE() & LCASE() Function Section 18: SQL ADVANCED LEVEL Lecture 99 Overview Section 19: SQL Stored Procedure Lecture 100 Create a Stored Procedure Lecture 101 Stored Procedure with Single Parameter Lecture 102 Stored Procedure with Multiple Parameter Lecture 103 Alter Stored Procedure Lecture 104 Drop Stored Procedure Section 20: Triggers Lecture 105 Introduction to Triggers Lecture 106 BEFORE Insert Triggers Lecture 107 AFTER Insert Trigger Lecture 108 DROP Triggers Section 21: Transactions Lecture 109 Creating Transactions Lecture 110 Rollback Transactions Lecture 111 Savepoint Transactions Section 22: 1 MONTH: FULL PYTHON FOR DATA SCIENCE COURSE Lecture 112 Overview Section 23: Master Python For Data Science Lecture 113 Install and Write Your First Python Code Lecture 114 Python Course Datasets Section 24: Introduction To Jupyter Notebook Lecture 115 Introduction to Jupyter Notebook And Jupyter Lab Lecture 116 Working with Code Vs Markdown Section 25: Introduction To Google Colab Lecture 117 Google Colab Section 26: Getting Hands-On With Python Lecture 118 Introduction Lecture 119 Keywords And Identifiers Lecture 120 Python Comments Lecture 121 Python Docstring Lecture 122 Python Variables Lecture 123 Rules and Naming Conventions for Python Variables Section 27: Python Output() | Input() | Import() Functions Lecture 124 Python Output() Function Lecture 125 Input() Function In Python Lecture 126 Import() Function In Python Section 28: Python Operators Lecture 127 Arithmetic Operators Lecture 128 Comparison Operators Lecture 129 Logical Operators Lecture 130 Bitwise Operators Lecture 131 Assignment Operators Lecture 132 Special Operators Lecture 133 Membership Operators Section 29: Python Flow Control Lecture 134 If Statement Lecture 135 If...Else Statement Lecture 136 ELif Statement Lecture 137 For loop Lecture 138 While loop Lecture 139 Break Statement Lecture 140 Continue Statement Section 30: Python Functions Lecture 141 User Define Functions Lecture 142 Arbitrary Arguments Lecture 143 Function With Loops Lecture 144 Lambda Function Lecture 145 Built-In Function Section 31: Python Global and Local Variables Lecture 146 Global Variable Lecture 147 Local Variable Section 32: Working With Files In Python Lecture 148 Python Files Lecture 149 The Close Method Lecture 150 The With Statement Lecture 151 Writing To A File In Python Section 33: Python Modules Lecture 152 Python Modules Lecture 153 Renaming Modules Lecture 154 The from...import Statement Section 34: Python Packages and Libraries Lecture 155 Python Packages and Libraries Lecture 156 PIP Install Python Libraries Section 35: Data Types In Python Lecture 157 Integer & Floating Point Numbers Lecture 158 Complex Numbers & Strings Lecture 159 LIST Lecture 160 Tuple & List Mutability Lecture 161 Tuple Immutability Lecture 162 Set Lecture 163 Dictionary Section 36: Extra Content Lecture 164 LIST Lecture 165 Working On List Lecture 166 Splitting Function Lecture 167 Range In Python Lecture 168 List Comprehension In Python Section 37: Python NUMPY Lecture 169 Lecture Resources Lecture 170 Introduction To Numpy Lecture 171 Creating Multi-Dimensional Numpy Arrays Lecture 172 Numpy: Arange Function Lecture 173 Numpy: Zeros, Ones and Eye functions Lecture 174 Numpy: Reshape Function Lecture 175 Numpy: Linspace Lecture 176 Numpy: Resize Function Lecture 177 Numpy:Generating Random Values With random.rand Lecture 178 Numpy:Generating Random Values With random.randn Lecture 179 Numpy:Generating Random Values With random.randint Lecture 180 Numpy: Indexing & Slicing Lecture 181 Numpy: Broadcasting Lecture 182 Numpy: How To Create A Copy Dataset Lecture 183 Numpy: DataFrame Introduction Lecture 184 Numpy: Creating Matrix Section 38: Numpy Assignment Section 39: Python PANDAS Lecture 185 Pandas Lecture resources Lecture 186 Pandas- Series 1 Lecture 187 Pandas- Series 2 Lecture 188 Pandas- Loc & iLoc Lecture 189 Pandas- DataFrame Introduction Lecture 190 Pandas- Operations On Pandas DataFrame Lecture 191 Pandas- Selection And Indexing On Pandas DataFrame Lecture 192 Pandas- Reading A Dataset Into Pandas DataFrame Lecture 193 Pandas- Adding A Column To Pandas DataFrame Lecture 194 Pandas- How To Drop Columns And Rows In Pandas DataFrame Lecture 195 Pandas- How To Reset Index In Pandas Dataframe Lecture 196 Pandas- How To Rename A Column In Pandas Dataframe Lecture 197 Pandas- Tail(), Column and Index Lecture 198 Pandas- How To Check For Missing Values or Null Values(isnull() Vs Isna()) Lecture 199 Pandas- Pandas Describe Function Lecture 200 Pandas- Conditional Selection With Pandas Lecture 201 Pandas- How To Deal With Null Values Lecture 202 Pandas- How To Sort Values In Pandas Lecture 203 Pandas- Pandas Groupby Lecture 204 Pandas- Count() & Value_Count() Lecture 205 Pandas- Concatenate Function Lecture 206 Pandas- Join & Merge(Creating Dataset) Lecture 207 Pandas-Join Lecture 208 Pandas- Merge Section 40: Data Visualisation: MatplotIib And Seaborn Lecture 209 Lecture resources Lecture 210 Matplotlib | Subplots Lecture 211 Seborn | Scatterplot | Correlation | Boxplot | Heatmap Lecture 212 Univariate | Bivariate | Multivariate Data Visualisation Section 41: Python Project Assignment Section 42: FULL STATISTICS FOR DATA SCIENCE Lecture 213 Overview Section 43: Master Statistics For Data Science Lecture 214 Lecture resources Lecture 215 Statistics For Data Science Curriculum Lecture 216 Why Statistics Is Important For Data Science Lecture 217 How Much Maths Do I Need To Know? Section 44: Statistical Methods Deep Dive Lecture 218 Statistical Methods Deep Dive Lecture 219 Types Of Statistics Lecture 220 Common Statistical Terms Section 45: Data Lecture 221 What Is Data? Lecture 222 Data Types Lecture 223 Data Attributes and Data Sources Lecture 224 Structured Vs Unstructured Data Section 46: Frequency Distribution Lecture 225 Frequency Distribution Section 47: Central Tendency Lecture 226 Central Tendency Lecture 227 Mean,Median, Mode Section 48: Measures of Dispersion Lecture 228 Measures of Dispersion Lecture 229 Variance and Standard Deviation Lecture 230 Example of Variance and Standard Deviation Lecture 231 Variance and Standard Deviation In Python Section 49: Coefficient of Variations Lecture 232 Coefficient of Variations Section 50: The Five Number Summary & The Quartiles Lecture 233 The Five Number Summary Lecture 234 The Quartiles: Q1 | Q2 | Q3 | IQR Section 51: The Normal Distribution Lecture 235 Introduction To Normal Distribution Lecture 236 Skewed Distributions Lecture 237 Central Limit Theorem Section 52: Correlation Lecture 238 Introduction to Correlation Lecture 239 Scatterplot For Correlation Lecture 240 Correlation is NOT Causation Section 53: Probability Lecture 241 Why Probability In Data Science? Lecture 242 Probability Key Concepts Lecture 243 Mutually Exclusive Events Lecture 244 Independent Events Lecture 245 Rules For Computing Probability Section 54: Baye's Theorem Lecture 246 Baye's Theorem Overview Section 55: Hypothesis Testing Lecture 247 Introduction To Hypothesis.mp4 Lecture 248 Null Vs Alternative Hypothesis Lecture 249 Setting Up Null and Alternative Hypothesis Lecture 250 One-tailed Vs Two-tailed test Lecture 251 Key Points On Hypothesis Testing Lecture 252 Type 1 vs Type 2 Errors Lecture 253 Process Of Hypothesis testing Lecture 254 P-Value Lecture 255 Alpha-Value or Alpha Level Lecture 256 Confidence Level Section 56: PROJECT: Statistics For Data Science Lecture 257 Project resources Lecture 258 Project Solution Code Section 57: GITHUB For Data Science Lecture 259 Lecture resources Lecture 260 Introduction to Github for Data Science Lecture 261 Setting up Github account for Data Science projects Lecture 262 Create Github Profile for Data Science Lecture 263 Create Github Project Description for Data Science Section 58: ARTIFICIAL INTELLIGENCE(AI) and MACHINE LEARNING(ML) Lecture 264 Overview Section 59: FULL MACHINE LEARNING COURSE Lecture 265 Introduction To Machine Learning Lecture 266 Overview of Machine Learning Curriculum Lecture 267 Practical Understanding Of Machine Learning (PART 1) Lecture 268 Practical Understanding Of Machine Learning (PART 2) Lecture 269 Applications of Machine Learning Lecture 270 Machine Learning Life Cycle Section 60: USE CASE Lecture 271 The Microsoft Data Science Project Lecture 272 Setting Up Your Environment for Machine Learning Section 61: Machine Learning Algorithms Lecture 273 How Machine Learning Algorithms Learn Lecture 274 Difference Between Algorithm and Model Lecture 275 Supervised vs Unsupervised ML Lecture 276 Dependent vs Independent Variables Section 62: Working with Machine Learning Data Lecture 277 Lecture Resources Lecture 278 Considerations When Loading Data Lecture 279 Loading Data from a CSV File Lecture 280 Loading Data from a URL Lecture 281 Loading Data from a Text File Lecture 282 Loading Data from an Excel File Lecture 283 Skipping Rows while Loading Data Lecture 284 Peek at your Data Lecture 285 Dimension of your Data Lecture 286 Checking Data Types of your Dataset Lecture 287 Descriptive Statistics of your Dataset Lecture 288 Class Distribution of your Dataset Lecture 289 Correlation of your Dataset Lecture 290 Skewness of your Dataset Lecture 291 Missing Values in your Dataset Lecture 292 Histogram of Dataset Lecture 293 Density Plot of Dataset Lecture 294 Box and Whisker Plot Lecture 295 Correlation Matrix Lecture 296 Scatter Matrix(Pairplot) Section 63: Regression Lecture 297 What is Regression? Section 64: Linear Regression Lecture 298 Introduction to Linear Regression Lecture 299 Conceptual Understanding of Linear Regression Lecture 300 Hyperplane Lecture 301 MSE vs RMSE Section 65: LAB SESSION: Linear Regression Lecture 302 Training Data vs Validation Data vs Testing Data Lecture 303 Splitting Dataset into Training and Testing Lecture 304 Linear Regression LAB 1 Lecture 305 Linear Regression LAB 2(PART 1) Lecture 306 Linear Regression LAB 2(PART 2) Section 66: Logistic Regression Algorithm Lecture 307 Regressor Algorithm Vs Classifier Algorithm Lecture 308 Introduction To Logistic Regression Algorithm Lecture 309 Limitations of Linear Regression Lecture 310 PART 2: Intuitive Understanding Of Logistic Regression Lecture 311 The Mathematics Behind Logistic Regression Algorithm Lecture 312 LAB SESSION 1: Practical Implementation of Logistic Regression Algorithm Lecture 313 LAB SESSION 2: Practical Implementation of Logistic Regression Algorithm Lecture 314 LAB SESSION 3: Building Logistic Regression Model Section 67: Naive Bayes Algorithm (NB) Lecture 315 Introduction to Naive Bayes Algorithm Lecture 316 The Mathematics Behind Naive Bayes Algorithm Lecture 317 LAB SESSION: Building Naive Bayes Model Section 68: K-Nearest Neighbor Algorithm (KNN) Lecture 318 Introduction to K-Nearest Neighbor Algorithm Lecture 319 Distance Measures In K-Nearest Neighbor Lecture 320 Exploratory Data Analysis In K-NN Lecture 321 LAB SESSION: Building A K-Nearest Neighbor Lecture 322 Choosing K In K-NN Section 69: Support Vector Machine Algorithm (SVM) Lecture 323 Introduction to Support Vector Machine (SVM) algorithm Lecture 324 Mathematics of SVM and Intuitive Understanding of SVM Algorithm Lecture 325 Non-Linearly Separable Vectors Lecture 326 SVM Data Pre-processing Lecture 327 Building an SVM Model Section 70: Machine Learning Algorithm Performance Metrics Lecture 328 Lecture Resources Lecture 329 Overview Lecture 330 Confusion Matrix: True Positive | False Positive | True Negative | False Neg. Lecture 331 Accuracy Lecture 332 Precision Lecture 333 Recall Lecture 334 The Tug of War between Precision and Recall Lecture 335 F 1 Score Lecture 336 Classification Report Lecture 337 ROC and AUC Lecture 338 LAB SESSION: AUC and ROC Section 71: Overfitting and Underfitting Lecture 339 Overfitting and Underfitting Lecture 340 LAB SESSION: Preventing Overfitting (PART 1) Lecture 341 LAB SESSION: Preventing Overfitting (PART 2) Lecture 342 Preventing Underfitting Section 72: Bias vs Variance Lecture 343 Bias vs Variance Lecture 344 The Bias Variance Tradeoff Section 73: Decision Tree Algorithm Lecture 345 Decision Tree Overview Lecture 346 CART: Introduction To Decision Tree Lecture 347 Purity Metrics: Gini Impurity | Gini Index Lecture 348 Calculating Gini Impurity (PART 1) Lecture 349 Calculating Gini Impurity (PART 2) Lecture 350 Information Gain Lecture 351 Overfitting in Decision Trees Lecture 352 Prunning Lecture 353 LAB SESSION: Prunning Section 74: Ensemble Techniques Lecture 354 Lecture Resources Lecture 355 Introduction To Ensemble Techniques Lecture 356 Understanding Ensemble Techniques Lecture 357 Difference b/n Random Forest & Decision Tree Lecture 358 Why Random Forest Algorithm Lecture 359 More on Random Forest Algorithm Lecture 360 Introduction to Bootstrap Sampling | Bagging Lecture 361 Understanding Bootstrap Sampling Lecture 362 Diving Deeper into Bootstrap Sampling Lecture 363 Bootstrap Sampling summary Lecture 364 Bagging Lecture 365 Boosting Lecture 366 Adaboost : Introduction Lecture 367 The Maths behind Adaboost algorithm Lecture 368 Gradient Boost: Introduction Lecture 369 Gradient Boosting : An Intuitive Understanding Lecture 370 The Mathematics behind Gradient Boosting Algorithm Lecture 371 XGBoost: Introduction Lecture 372 Maths of XGBoost (PART 1) Lecture 373 Maths of XGBoost (PART 2) Lecture 374 LAB SESSION 1: Ensemble Techniques Lecture 375 LAB SESSION 2: Ensemble Techniques Lecture 376 Stacking: An Introduction Lecture 377 LAB SESSION: Stacking Section 75: UNSUPPERVISED MACHINE LEARNING ALGORITHMS Lecture 378 Overview Section 76: K-Means Clustering Algorithm Lecture 379 Difference between K-NN and K-Means Lecture 380 Introduction to K-Means Clustering algorithm Lecture 381 The Llyod's Method-Shifting the Centroids Lecture 382 LAB SESSION: K-Means Algorithm Lecture 383 Choosing K in Kmeans-The Elbow Method Section 77: Hierarchical Clustering Algorithm Lecture 384 Introduction to Hierarchical Clustering Lecture 385 Dendrograms(Cophenetic correlation) Lecture 386 LAB SESSION: Building Hierarchical Clustering Model Section 78: Principal Component Analysis (PCA) Lecture 387 Overview of Principal Component Analysis (PCA) Section 79: Feature Engineering : Model Selection & Optimisation Lecture 388 Lecture Resources Lecture 389 KFold Cross Validation Lecture 390 LAB SESSION: KFold Cross Validation Lecture 391 Bootstrap Sampling Lecture 392 Leave One Out Cross Validation(LOOCV).mp4 Lecture 393 Hyper-parameter Tuning: An Introduction Lecture 394 GridSearchCV: An Introduction Lecture 395 RandomSearchCV: An Introduction Lecture 396 LAB SESSION 1: GridSearchCV Lecture 397 LAB SESSION 2: GridSearchCV.mp4 Lecture 398 LAB SESSION: RandomSearchCV Lecture 399 Reguralization Lecture 400 Lasso(L1) and Ridge (L2) Regression Section 80: Saving and Loading ML Model Lecture 401 Saving and Loading ML Model Section 81: RECOMMENDATION SYSTEMS Lecture 402 Lecture Resources Lecture 403 Recommendation System: An Overview Lecture 404 Where Recommender Systems came from Lecture 405 Applications of Recommendation Systems Lecture 406 Why Recommender Systems? Lecture 407 Types of Recommender Systems Lecture 408 Popularity based Recommender Systems Lecture 409 LAB SESSION: Popularity based Recommender Lecture 410 Content-based Filtering: An Overview Lecture 411 Cosine Similarity Lecture 412 Cosine Similarity with Python Lecture 413 Document Term Frequency Matrix Lecture 414 LAB SESSION: Building Content-based Recommender Engine Lecture 415 Collaborative Filtering: An Introduction Lecture 416 LAB SESSION: Collaborative Filtering Lecture 417 Evaluation Metrics for Recommender Systems Section 82: PROJECTS SESSION: MACHINE LEARNING Lecture 418 Overview Section 83: ML PROJECTS: Building CRUD App Lecture 419 CRUD Project Overview Lecture 420 Building CRUD App Section 84: ML PROJECT: Building Covid-19 Report Dashboard for Berlin City Lecture 421 Project files Lecture 422 Project Overview: Building Covid-19 Report Dashboard App for Berlin City Lecture 423 Building a Covid Dashboard App for Berlin City Section 85: ML PROJECTS: Building IPL Score Predictor App Lecture 424 ML Project: Building IPL Score Predictor App Section 86: ML PROJECTS: Building a Sales Forcast App Lecture 425 ML Project: Building a Sales Forcast App Section 87: SCIENTIFIC RESEARCH PAPER Lecture 426 Lecture resources Lecture 427 Reading Scientific Paper: An Overview Lecture 428 What you will learn Lecture 429 What is a Scientific Research Paper? Lecture 430 Importance of Reading Research Papers Lecture 431 Components of a Research Paper Lecture 432 How to Read Scientific Research Papers Lecture 433 Where to find Data Science research papers Lecture 434 Assignment Section 88: ARTIFICIAL INTELLIGENCE: Computer Vision Lecture 435 Lecture resources Lecture 436 Artificial Intelligence: An Introduction Lecture 437 The Big Picture of AI Section 89: DEEP LEARNING Lecture 438 Introduction To Deep Learning Lecture 439 What you will learn Lecture 440 What is Artificial Neural Network? Lecture 441 Neurons and Perceptrons Lecture 442 Machine Learning vs Deep Learning Lecture 443 Why Deep Learning Lecture 444 Applications of Deep Learning Section 90: Artificial Neural Network Lecture 445 Neural Network: An Overview Lecture 446 Architecture: Components of the Perceptron Lecture 447 Fully Connected Neural Network Lecture 448 Types of Neural Networks Lecture 449 How Neural Networks work Lecture 450 Propagation: Forward and Back Propagation Lecture 451 Understanding Neural Network Lecture 452 Hands-on of Forward and Back Propagation (PART 1) Lecture 453 Hands-on of Forward and Back Propagation (PART 2) Lecture 454 Chain Rule in Backpropagation Lecture 455 Optimizers In NN Section 91: Activation Functions Lecture 456 Activation Functions: An Introduction Lecture 457 Sigmoid Activation Function Lecture 458 Vanishing Gradient Lecture 459 TanH Activation Function Lecture 460 ReLU Activation Function Lecture 461 Leaky ReLU Activation Function Lecture 462 ELU Activation Function Lecture 463 SoftMax Activation Function Lecture 464 Activation functions summary Lecture 465 project files Section 92: Tensorflow and Keras Lecture 466 Overview Lecture 467 Introduction to Tensorflow Lecture 468 Tensors and Dataflows in Tensorflow Lecture 469 Tensorflow Versions Lecture 470 Keras Section 93: LAB SESSION: Deep Learning(ANN) Lecture 471 Lecture resources Lecture 472 LAB SESSION : Building your first Neural Network Lecture 473 LAB SESSION : Building your Second Neural Network Lecture 474 Handling Overfitting in Neural Network Lecture 475 L2 Regularisation Lecture 476 Dropout for Overfitting in Neural Network Lecture 477 Early Stopping for overfitting in NN Lecture 478 ModelCheck pointing Lecture 479 Load best weight Lecture 480 Tensorflow Playground Lecture 481 Building Your Third Neural Network with MNIST Section 94: FULL COMPUTER VISION COURSE Lecture 482 Lecture resources Section 95: COMPUTER VISION: Beginner Level Lecture 483 lecture resources Lecture 484 Working with Images Lecture 485 The concept of Pixels Lecture 486 Gray-Scale Image Lecture 487 Color Image Lecture 488 Different Image formats Lecture 489 Image Transformation: Filtering Lecture 490 Affine and Projective Transformation Lecture 491 Image Feature Extraction Lecture 492 LAB SESSION: working with images Lecture 493 LAB SESSION 2: Working with Images Section 96: CPU vs GPU vs TPU Lecture 494 Introduction to CPUs, GPUs and TPUs Lecture 495 Accessing GPUs for Deep Learning Lecture 496 CPU vs GPU speed Section 97: COMPUTER VISION: Intermediate Level Lecture 497 Lecture resources Lecture 498 Introduction to Convolutional Neural Networks(CNN) Lecture 499 Understanding Convolution (PART 1) Lecture 500 Understanding Convolution (PART 2) Lecture 501 Convolution Operation Lecture 502 Understanding : Filter/Kernel | Feature Map | Input Volume | Receptive Field Lecture 503 Filter vs Kernel Lecture 504 Stride and Step Size Lecture 505 Padding Lecture 506 Pooling Lecture 507 Understanding CNN Architecture Lecture 508 LAB SESSION: CNN Lab 1 Lecture 509 LAB SESSION: CNN Lab 2 Section 98: COMPUTER VISION: Advanced Level Lecture 510 Overview Lecture 511 Lecture resources Section 99: CNN Architectures Lecture 512 State-of-the-Art CNN architecture Lecture 513 LeNet Architecture Lecture 514 LAB SESSION: LeNet LAB Lecture 515 AlexNet Architecture Lecture 516 LAB SESSION: AlexNet LAB Lecture 517 VGG Architecture and LAB Lecture 518 GoogleNet or Inception Net Section 100: Transfer Learning Lecture 519 Understanding Transfer Learning Lecture 520 Steps to perform transfer learning Lecture 521 When to use Transfer learning and when NOT to use. Lecture 522 LAB SESSION: Transfer Learning with VGG-16 Section 101: Object Detection Lecture 523 Overview and Agenda Lecture 524 Computer Vision Task Lecture 525 Datasets Powering Object Detection Lecture 526 Image Classification vs Image Localisation Lecture 527 Challenges of Object Detection Section 102: Performance Metrics for Object Detection Lecture 528 Intersection Over Union(IoU) Lecture 529 Precision and Recall Lecture 530 Mean Average Precision(mAP) Section 103: Objection Detection Techniques Lecture 531 Lecture resources Lecture 532 Overview Lecture 533 Brute Force Approach Lecture 534 Sliding Window Lecture 535 Region Proposal Lecture 536 R-CNN Lecture 537 Fast R-CNN Lecture 538 ROI Pooling Lecture 539 Faster R-CNN Lecture 540 State-of-the-Art Algorithms Lecture 541 YOLO Lecture 542 LAB SESSION 1: YOLO LAB Overview Lecture 543 LAB SESSION 2: YOLO Lecture 544 LAB SESSION 3: YOLO Lecture 545 SSD Section 104: OPENCV FULL TUTORIAL Lecture 546 Introduction To OpenCV Lecture 547 Opencv Lecture 548 Opencv Lecture 549 Opencv Lecture 550 Opencv Lecture 551 Opencv Lecture 552 Opencv Lecture 553 Opencv Lecture 554 Opencv Lecture 555 Opencv Lecture 556 Opencv Lecture 557 Opencv Lecture 558 Opencv Lecture 559 Opencv Lecture 560 opencv Lecture 561 opencv Lecture 562 opencv Lecture 563 opencv Lecture 564 opencv Lecture 565 opencv Lecture 566 opencv Section 105: PROJECTS: COMPUTER VISION PROJECTS Lecture 567 Overview Section 106: CV PROJECT: Car Parking Space Counter Using OpenCV Lecture 568 Car Park Counter with OpenCV: Project Overview Lecture 569 PART 1: Building Car Park Counter With OpenCV Lecture 570 PART 2: Building Car Park Counter With OpenCV Section 107: CV PROJECT(Kaggle): Fruit and Vegetable Classification Lecture 571 Lecture resources Lecture 572 PROJECT: Fruit and Vegetable Classification Overview Lecture 573 Setup your First Kaggle Code Notebook Lecture 574 Building Fruit and Vegetable Classifier with Kaggle Notebooks Lecture 575 Deploy a Computer Vision Classifier App Section 108: CV PROJECT: Predicting Lung Disease with Computer Vision Lecture 576 Predicting Lung Disease Section 109: CV PROJECT: Nose Mask Detection with Computer Vision Lecture 577 Project files Lecture 578 Data Preprocessing Lecture 579 Training the CNN Lecture 580 Detecting Face Mask Section 110: CV PROJECT: Pose Detection Lecture 581 Building a Pose Detector Section 111: CV PROJECT: Building a Face Detector with Computer vision Lecture 582 Building a Face Detector with AI Section 112: CV PROJECT: Building a virtual AI Keyboard Lecture 583 CV Project : Building AI Virtual Keyboard Section 113: CV PROJECT: Yolov4 Object Detection Using Webcam Lecture 584 Yolov4 Object Detection Using Webcam Section 114: NATURAL LANGUAGE PROCESSING(NLP) Lecture 585 Lecture resources Lecture 586 Overview Lecture 587 Recapitulation Lecture 588 What is NLP? Lecture 589 Applications of NLP Lecture 590 The Must-Know NLP Terminologies Lecture 591 Word Lecture 592 Tokens and Tokenizations Lecture 593 Corpus Lecture 594 Sentence and Document Lecture 595 Vocabulary Lecture 596 Stopwords Section 115: Hands-On NLP: Text Pre-processing Lecture 597 Tokenization with NLTK , SpaCy and Gensim Lecture 598 Removing Stopwords with NLP Libraries Section 116: Text Pre-processing: Normalization Lecture 599 Text Normalization Lecture 600 Stemming and Lemmatization Lecture 601 LAB SESSION: Stemming and Lemmatization Section 117: Part Of Speech (POS) Tagging Lecture 602 Lecture resources Lecture 603 Understanding POS Tagging Lecture 604 LAB SESSION: Part of Speech Tagging Lecture 605 Chunking Section 118: ADVANCED LEVEL: Hands-On Text Pre-processing Lecture 606 Advanced Text Preprocessing Lecture 607 Frequency of Words | Bi-Gram | N-Grams Lecture 608 More on Stemming and Lemmatization Section 119: Introduction To Statistical NLP Techniques Lecture 609 Bag of Words (BoW) Lecture 610 TF-IDF Section 120: Language Modelling Lecture 611 Understanding language modelling Section 121: Word Embeddings Lecture 612 Understanding Word Embeddings Lecture 613 Feature Representations Section 122: Word2Vec Lecture 614 The Challenge with BoW and TF-IDF Lecture 615 Understanding Word2Vec Lecture 616 LAB SESSION: Word2Vec Lecture 617 CBOW and Skip-Gram Section 123: GloVe Lecture 618 Understanding GloVe Section 124: Sentence Parsing Lecture 619 Sentence Parsing Lecture 620 Chunking & Chinking & Syntax Tree Section 125: Sequential Models Lecture 621 Sequential Model: An Introduction Lecture 622 Traditional ML vs Sequential Modelling Section 126: Recurrent Neural Network (RNN) Lecture 623 What is a Recurrent Neural Network (RNN) ? Lecture 624 Types of RNNs Lecture 625 Use Cases of RNNs Lecture 626 Vanilla Neural Network (NN) vs Recurrent Neural Network (RNN) Lecture 627 Backpropagation Through Time (BTT) Lecture 628 Mathematics Behind BTT Lecture 629 Vanishing and Exploding Gradient Lecture 630 The problem of Long Term Dependencies Lecture 631 Bidirectional RNN (BRNN) Lecture 632 Gated Recurrent Unit(GRU) Section 127: LSTM Lecture 633 Lecture resources Lecture 634 LSTM: An Introduction Lecture 635 The LSTM Architecture Lecture 636 LAB SESSION 1: LSTM Lecture 637 LAB SESSION 2: Tween Sentiment Analysis using RNN Lecture 638 LAB SESSION 3: Tween Sentiment Analysis using LSTM Section 128: Sequence To Sequence Models (Seq2Seq) Lecture 639 Sequence To Sequence models: An introduction Lecture 640 Encoder & Decoder Lecture 641 LAB SESSION: Language Translation Lecture 642 LAB SESSION 2: Language Translation Section 129: NLP PROJECT: Sentiment Analyzer Lecture 643 Project files Lecture 644 Building Sentiment Analyzer App Lecture 645 LAB: Building Sentiment Analyzer App Section 130: Name Entity Recognition (NER) Lecture 646 Lecture Resources Lecture 647 NER : An Introduction Lecture 648 Example of Name Entity Recognition Lecture 649 How Name Entity Recognition works Lecture 650 Applications of NER Lecture 651 LAB SESSION: Hands-On Name Entity Recognition Lecture 652 LAB SESSION 2: Name Entity Recognition Lecture 653 LAB SESSION: Visualizing Name Entity Recognition Lecture 654 Assignment Section 131: NLP PROJECT: Building a Name Entity Recognition App Lecture 655 Project: Building a Name Entity Recognition Web App Lecture 656 Project: Building your NER web App Section 132: NLP PROJECT: AI Resume Analyzer App Lecture 657 NLP Project: Building AI Resume Analyzer Lecture 658 Project: AI Resume Analyzer This course is for beginners who want to start a career in Data Science,Anyone who is interested to become a Full Stack Data Scientist,Any student who want to enter the field of Data Science after 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  24. Inside the Edit - Bootcamp - The Power Of Music Editing Home Page https://www.insidetheedit.com/bootcamp/ Genre / Category:Film & Media File Size :7.6GB In the third and final part of our music editing webinar series we're going to bring together all of the creative knowledge we've learned so far and go deep into advanced musical cutting patterns. This is the culmination of music knowledge within editing. Learning these techniques and mindsets means that we can build and structure musical scores in any genre to devastating effect. We'll be deconstructing tons of sequencesand outlining the step by step process of each high end, music editing technique. You'll learn. How to change music tracks mid sceneHow to randomise shot elements around the beat structureHow to build variation across the whole scoreHow to asses any set of raw footage and choose the best track H4S https://hot4share.com/epcn1kll7qax/vtxml.I.t.E..B..T.P.O.M.E.part1.rar.html https://hot4share.com/cziddsnhee2f/vtxml.I.t.E..B..T.P.O.M.E.part2.rar.html https://hot4share.com/ykq71rruqluy/vtxml.I.t.E..B..T.P.O.M.E.part3.rar.html https://hot4share.com/u64pecr9nmsw/vtxml.I.t.E..B..T.P.O.M.E.part4.rar.html Download ( NitroFlare ) https://nitro.download/view/CC78768F72E11F8/vtxml.I.t.E..B..T.P.O.M.E.part1.rar https://nitro.download/view/2B752C7E77E1EC4/vtxml.I.t.E..B..T.P.O.M.E.part2.rar https://nitro.download/view/A4FBF3F6A813CA1/vtxml.I.t.E..B..T.P.O.M.E.part3.rar https://nitro.download/view/612FCF4DBCE4328/vtxml.I.t.E..B..T.P.O.M.E.part4.rar Download ( Rapidgator ) https://rapidgator.net/file/485f400c4d12d53ffbb2b58fc352fedf/vtxml.I.t.E..B..T.P.O.M.E.part1.rar.html https://rapidgator.net/file/201b92af0357bd72e09fe25eb6900228/vtxml.I.t.E..B..T.P.O.M.E.part2.rar.html https://rapidgator.net/file/a7c47f86da590c42e33ac7ccadc7c15b/vtxml.I.t.E..B..T.P.O.M.E.part3.rar.html https://rapidgator.net/file/a3ad110f2bdbbb6df86d4c474b22a2ca/vtxml.I.t.E..B..T.P.O.M.E.part4.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/25374e9727E19F59/vtxml.I.t.E..B..T.P.O.M.E.part1.rar https://uploadgig.com/file/download/738730D48c1922f3/vtxml.I.t.E..B..T.P.O.M.E.part2.rar https://uploadgig.com/file/download/f46aBf8be1982961/vtxml.I.t.E..B..T.P.O.M.E.part3.rar https://uploadgig.com/file/download/77A0ba20db74E752/vtxml.I.t.E..B..T.P.O.M.E.part4.rar Links are Interchangeable - No Password - Single Extraction
  25. Last Updatd 05/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 73 lectures (7h 24m) | Size: 5 GB Learn Electronics Basics, Arduino Platform and Ecosystem, Arduino C Programming, and interfacing various displays What you'll learn Build projects with Arduino Uno Understand what is the Arduino Platform and Ecosystem Understand Digital Outputs Detailed Tour of Arduino IDE and Settings Work with simple and RGB LEDs Work with LED Bar Display Work with 7-Segment LED display Prepare LED Chaser Circuits Max 72xx Matrix display OLED display TFT display WS2821b display Requirements A Windows, Raspberry Pi, Mac, or Linux computer An Arduino Uno, Clone, or Compatible Parts like LEDs, Breadboards, and Jumper Wires Description Learn Basics of Electronics, Arduino Ecosystem, and Visual Displays. These are a few of the most in-demand skills of the 21st Century! An expert level Electronics and IoT professional can earn $100000 (that's five zeros after 1) in today's scenario. This is the most comprehensive and straight-forward course for the Electronics basics, Arduino, and various visual displays on Udemy! Irrespective of your level of familiarity with Arduino and Electronics, you can register for this course. In this course we will teach you Arduino Basics, Arduino Ecosystem, Basics of Electronics, Arduino C Programming, and Interfacing with Visual Displays. (Note: Arduino C Code files, Fritzing Circuit Diagrams, and other PDFs can be downloaded from the downloadable section) With more than 70 lectures and more than 7 hours of videos, this comprehensive course leaves no stone unturned in teaching you Arduino, Electronics Basics, and interfacing with various displays! This course is the easiest way to learn basics of Electronics and Arduino. You also get to learn how to interface Arduino with various visual displays. You will get lifetime access to over 70 lectures plus corresponding PDFs, Arduino C code files, and the circuit diagrams for the lectures! So what are you waiting for? Learn Arduino and Electronics in a way that will advance your career and increase your knowledge, all in a fun and practical way! Who this course is for Anyone interested in learning programming and electronics Anyone who wants to learn Homepage https://www.udemy.com/course/arduino-uno-and-visual-displays-bootcamp/ Download ( Rapidgator ) https://rapidgator.net/file/8ef9e0fffa54457d744190d5ea25c945/mejwy.Arduino.Uno.and.Visual.Displays.Bootcamp.part1.rar.html https://rapidgator.net/file/6916bf5fbf74b19251a579ca8372715c/mejwy.Arduino.Uno.and.Visual.Displays.Bootcamp.part2.rar.html https://rapidgator.net/file/a0643f9ffe09e1cca750c07b7d41a6c8/mejwy.Arduino.Uno.and.Visual.Displays.Bootcamp.part3.rar.html Download ( NitroFlare ) https://nitro.download/view/569C1A35768C5B9/mejwy.Arduino.Uno.and.Visual.Displays.Bootcamp.part1.rar https://nitro.download/view/0C52D1162A79E00/mejwy.Arduino.Uno.and.Visual.Displays.Bootcamp.part2.rar https://nitro.download/view/DB87D97140F743E/mejwy.Arduino.Uno.and.Visual.Displays.Bootcamp.part3.rar [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/16f316F1deb36a50/mejwy.Arduino.Uno.and.Visual.Displays.Bootcamp.part1.rar https://uploadgig.com/file/download/f97849eE21Cd816f/mejwy.Arduino.Uno.and.Visual.Displays.Bootcamp.part2.rar https://uploadgig.com/file/download/e6549ef7CcC0dfdC/mejwy.Arduino.Uno.and.Visual.Displays.Bootcamp.part3.rar Links are Interchangeable - No Password - Single Extraction
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