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  1. [img]https://i120.fastpic.org/big/2022/1117/fe/eb59bb45c50952f51f135f9a47b86dfe.jpeg[/img] English | 2022 | ISBN: 978-1032208145 | 472 pages | True PDF | 288.77 MB Mathematics and Statistics for the Quantitative Sciences was born from a radical reimagining of first-year mathematics. While calculus is often seen as the foundational mathematics required for any scientist, this often leads to mathematics being seen as some, ultimately useless, hoop that needs to be jumped through in order to do what someone really wants to do. This sentiment is everywhere at every level of education. It even shows up in how people stereotype mathematics courses. What this book aims to do, therefore, is serve as a foundational text in everyday mathematics in a way that is both engaging and practically useful. The book seeks to teach the mathematics needed to start to answer fundamental questions like 'why' or 'how'. Why do we only need to take census data once every few years? How do we determine the optimal dosing of a new pharmaceutical without killing people in the process? Or, more generally, what does it even mean to be average? Or what does it mean for two things to actually be different? These questions require a different way of thinking ― a quantitative intuition that goes beyond rote memorization and equips readers to meet the quantitative challenges inherent in any applied discipline. Features Draws from a diverse range of fields to make the applications as inclusive as possibleWould be ideal as a foundational mathematical and statistical textbook for any applied quantitative science course. [b]Download Links[/b] [b]Rapidgator[/b] [code] https://rapidgator.net/file/63593666bd970e18b40811cf4e5b92ff/xpbos.M.a.S.f.t.Q.S.rar.html [/code] [b]Nitroflare[/b] [code] https://nitroflare.com/view/26BA4E23A2592E0/xpbos.M.a.S.f.t.Q.S.rar[/code]
  2. [img]https://img76.pixhost.to/images/76/302429451_uref08gg81fu.png[/img] [b]Levine D Even You Can Learn Statistics and Analytics 4ed 2022 | 17.51 MB[/b] [b]N/A | 521 Pages[/b] [b]Title:[/b] Sensory Toys Set 50 Pack, Stress Relief Fidget Hand Toys for Adults and Kids, Sensory Fidget and Squeeze Widget for Relaxing Therapy - Perfect for ADHD Add Anxiety Autism [b]Author:[/b] N/A [b]Year:[/b] N/A [b]Description:[/b] Fidget sensory toys help relieve stress, calm nerves and increase focus for children and adults, especially those with ADHD, ADD, OCD and autism. Ideal for parties, holidays, classrooms or as office toys. Keeps you alert and focused throughout the day and helps develop new ideas. Great for students who can't sit still. PACK OF 50: 1 Liquid Motion Timer Bubbler, 1 Mesh Squishy Ball, 3 Bike Chain Fidget, 1 Rainbow Puzzle Ball, 3 Mochi Squishies, 5 Stretchy String, 2 Unicorn Stretchy String, 1 3x3 Speed Cube, 1 2x2 Speed Cube, 1 Infinity Cube, 1 Soccer Spinner, 1 Snake Cube Twist, 1 Tracks Fidget, 4 Mesh Marble Toys, 3 Icy Bouncy Balls, 6 Spiky Balls, 1 Football Foam Ball, 1 World Map Foam Ball, 1 Puzzle Box, 3 Finger Rings, 2 Bean Fidgets, 4 Mini Pop Tubes and 3 Fidget Spinners. Set of Animal Squishies Mochi Squeeze Toys: These squishies are amazingly soft. You will not be able to stop pinching them because of how great they feel and their squeeze ability. Set of Bike Chain Fidget Toys: Perfect for hours of non-distracting and silent fidgeting. The flippy chain fidget toy doesn't distract or draw attention. Set of Stretchy String Fidget: Stretch, pull, twirl, wrap and squeeze them, then watch them bounce back to their original shape. These toys are perfect for sensory and tactile stimulation. Set of Mesh and Marble Sensory Toys: Squeeze or slide the marble forth and back, bend it, fold it, squeeze the sleeve together and roll the marble like shaking bell. Set of Tracks Snap and Click Fidget Toys: Snap, click, bend and more! With these wacky tracks snap, you can snap and click the 24 links into various shapes. Set of Magic Snake Cube Twist Puzzle: Each of the 24 links on the snap and click toy pivots and locks into 5 positions so you can build and shape the chain in lots of different ways. When you snap the links together, they emit a satisfying CLICK sound. [b]Download Links[/b] [b]Rapidgator[/b] [code] https://rapidgator.net/file/fd5b8d7083eb86b185c54ec590454eab/Levine_D._Even_You_Can_Learn_Statistics_and_Analytics...4ed_2022.rar.html [/code] [b]Nitroflare[/b] [code] https://nitroflare.com/view/A29925ACB07BFD8/Levine_D._Even_You_Can_Learn_Statistics_and_Analytics...4ed_2022.rar[/code]
  3. [img]https://i120.fastpic.org/big/2022/1121/26/f6b0ecbe38c0f4dc0a9e9bfeed126926.jpeg[/img] [b]Simplified Basic and Higher Algebra with Statistics and Probability: A Self-Teaching Book for High Schools and Colleges by Kingsley Augustine[/b] English | 2021 | ISBN: N/A | ASIN: B09FMSSDDB | 471 pages | PDF | 4.12 Mb If you have bought any of my books on Simplified Algebra (Volume 1 to 4), then this book might not be for you because this book is an edited version with some corrections and inclusion of solutions to the exercises. However, if you have not bought any of my books on Simplified Algebra (Volume 1 to 4), then you will find this book very useful for learning the basics and more advanced problems on Algebra including basic problems on statistics and probability. Simplified Basic and Higher Algebra with Statistics and Probability: A Self-Teaching Book for High Schools and Colleges provides an easy way to gain a solid understanding of the basics and more difficult problems on algebra and problems in statistics and probability in Mathematics. Assuming no background knowledge of the subject, this clear and self teaching guide explains solved problems in ways that are easy to understand. Exercises are given at the end of each chapter for students to use to asses their understanding of the topics. Solutions to the exercises are provided at the end of the book. This maths book is an ideal resource for high school students and college students taking algebra, statistics and probability courses, for students taking higher level courses needing to refresh their knowledge, and for those preparing for admission and need to take entrance test or exam. Topics covered in this e-book include:Basic arithmetic operationsLaws of indicesLinear and quadratic equationsChange of subject of formulaeSimultaneous equationsWord problems forming linear, simultaneous and quadratic equationsIntroductory logical reasoningVariationLinear and quadratic inequalityIntroductory vector algebraSIMULTANEOUS EQUATIONS INVOLVING FRACTIONSABSOLUTE VALUE EQUATION (MODULUS EQUATION)INEQUALITIES INVOLVING ABSOLUTE VALUES, QUOTIENT AND SQUARE FUNCTIONSINDICIAL EQUATIONROOTS OF QUADRATIC EQUATIONS (USE OF ALPHA AND BETA)FUNCTIONSPOLYNOMIALSPARTIAL FRACTIONRADICAL EQUATIONSEQUATIONS AND SUBSTITUTIONS INVOLVING FRACTIONSMean, median and mode of grouped and ungrouped dataVariance, mean deviation and standard deviationQuartiles and percentiles by interpolation methodProbability on simple eventsProbability on dice, pack of cards and tossing of coinsMiscellaneous problems on probabilityA self-guided approach which enables you to move through the material at your own pace―gradually building upon your knowledge while you strengthen your critical thinking and problem-solving skills. This powerful learning resource features:A step-by-step method proven to increase your understanding of the fundamental concepts in algebraEmphasis on important basics, with clear explanations to ensure that you comprehend the material quicklyMany worked examples with concise, student-friendly approach to the worked examplesExercises at the end of each chapter.Solutions to the exercises are at the end of the book so that students can asses their understanding of each topic.Simplified Basic and Higher Algebra with Statistics and Probability: A Self-Teaching Book for High Schools and Colleges breaks down difficult calculations into simpler steps. Whether you are studying Algebra, Statistics or Probability in school and you are looking for a little help making sense of what is being taught in class, or you are just into learning new things, Simplified Basic and Higher Algebra with Statistics and Probability gets you rolling with all the basics you need. This worked examples-packed math book puts you on the fast-track to mastering the basics of simple and more difficult problems on algebra, statistics and probability. [b]Download Links[/b] [b]Rapidgator[/b] [code] https://rapidgator.net/file/8c642127fc40e6a489332f23baa83d32/ohq12.S.B.a.H.A.w.S.a.P.rar.html [/code] [b]Nitroflare[/b] [code] https://nitroflare.com/view/B30E2023992837E/ohq12.S.B.a.H.A.w.S.a.P.rar[/code]
  4. [img]https://img80.pixhost.to/images/33/319132444_w5scfh1e3df0.png[/img] [b]Tractenberg R Ethical Practice of Statistics and Data Science 2022 | 23.53 MB[/b] [b]N/A | 678 Pages[/b] [b]Title:[/b] Ethical Practice of Statistics and Data Science [b]Author:[/b] Rochelle Tractenberg [b]Year:[/b] N/A [b]Description:[/b] N/A [b]Download Links[/b] [b]Rapidgator[/b] [code] https://rapidgator.net/file/d93df2da48e59ffb7b4e70221880c655/Tractenberg_R._Ethical_Practice_of_Statistics_and_Data_Science_2022.rar.html [/code] [b]Nitroflare[/b] [code] https://nitroflare.com/view/AB056EBEA55A120/Tractenberg_R._Ethical_Practice_of_Statistics_and_Data_Science_2022.rar[/code]
  5. [img]https://img78.pixhost.to/images/71/311386255_d4f0noo7mru9.png[/img] [b]Sullivan M Fundamentals of Statistics Using Data 6ed 2022 | 235.61 MB[/b] [b]N/A | 1009 Pages[/b] [b]Title:[/b] SULLMC01_0131569872_Fpp.pdf [b]Author:[/b] Asura [b]Year:[/b] 2014 [b]Description:[/b] N/A [b]Download Links[/b] [b]Rapidgator[/b] [code] https://rapidgator.net/file/de9b596aaa0ad3dca98727ff8042ae65/Sullivan_M._Fundamentals_of_Statistics...Using_Data_6ed_2022.rar.html [/code] [b]Nitroflare[/b] [code] https://nitroflare.com/view/A7D1609354625EE/Sullivan_M._Fundamentals_of_Statistics...Using_Data_6ed_2022.rar[/code]
  6. [img]https://i120.fastpic.org/big/2022/1117/ef/3b08c8f53c1dfe14dbf137a15e7bc2ef.jpeg[/img] English | 2022 | ISBN: 1264498624 | 760 pages | True EPUB | 31.54 MB AP Teachers' #1 Choice! Ready to succeed in your AP course and ace your exam? Our 5 Steps to a 5 guides explain the tough stuff, offer tons of practice and explanations, and help you make the most efficient use of your study time. 5 Steps to a 5: AP Statistics is more than a review guide, it's a system that has helped thousands of students walk into test day feeling prepared and confident. Everything you Need for a 5: 3 full-length practice tests that align with the latest College Board requirementsHundreds of practice exercises with answer explanationsComprehensive overview of all test topicsProven strategies from seasoned AP educators Study on the Go: All instructional content in digital format (for both computers and mobile devices)Interactive practice tests with answer explanationsA self-guided study plan with daily goals, powerful analytics, flashcards, games, and more A Great In-class Supplement: 5 Steps is an ideal companion to your main AP textIncludes an AP Statistics Teacher's Manual that offers excellent guidance to educators for better use of the 5 Steps resources [b]Download Links[/b] [b]Rapidgator[/b] [code] https://rapidgator.net/file/361f923112d4a0ef1df43d61ade6a476/coxcl.5.S.t.a.5.A.S.2023.rar.html [/code] [b]Nitroflare[/b] [code] https://nitroflare.com/view/60A79E14B09CD2E/coxcl.5.S.t.a.5.A.S.2023.rar[/code]
  7. Last updated 5/2021 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 2.43 GB | Duration: 4h 53m Master Statistics for Data Science, Probability and Statistics, and excel in careers of Data Science & Business Analysis What you'll learn Learn the fundamentals of Statistics Learn how to organize and display different types of Data Interpret and Draw Histograms, Pie Charts, Stem-and-Leaf Displays, Box Plots and much more! Understand Average, Mode, Median, Standard Deviation and Variance Understand Z-Scores and their usage Take informed business decisions based on insights from Data. Build a strong foundation for a career in R, Python and Data Science Requirements Basic knowledge of High School Math is needed Bring your passion to learn and practice the Statistics concepts We start from scratch and build the concepts gradually. All topics are covered in detail. Description Are you seeking a career in Business Analytics, Business Analysis, Data Analysis, Machine Learning, or you want to learn Probability and Statistics for Data Science? Then you really need a solid background in Statistics! And .....This is the perfect course for you!Learning Statistics can be challenging, if you are not in a university setting. But with this course, you take a university-level Statistics course at your convenience, that will equip you with ALL the FUNDAMENTAL CONCEPTS critically important in Probability and Statistics, Statistics for Data Science and Business Analysis.One of the most comprehensive Business Analytics course online!This course has both breadth of Statistics topics, and depth of content. By the end of this course, you would have mastered all the important fundamentals of Statistics.A hands-on course!This is NOT just another boring and theoretical course. It is a very practical course:· With lots of insightful practice problems and exercises· Full of real-world examples and case studiesWhy learn from me?I've designed this Statistics course for beginners in Probability and Statistics, Data Science, Data Analysis, Business Analysis and Business Analytics!I will provide premium support - so if you ever get stuck or have a question, just post it to the course dashboard and I'll be there to help you out!My goal is to make this the best Probability and Statistics, and Statistics for Data Science course online, and I'll do anything possible to help you learn.My Happiness GuaranteeIf you aren't happy with your purchase, I have a 30-day 100% money back guarantee.So what are you waiting for?Enroll now to this Statistics for Probability, Data Science and Data Analysis course and open doors to new careers! Feel free to check out the entire course outline or watch the free preview lessons.I'll see you inside the course!Cheers,Kashif Who this course is for Anybody who wants to master the fundamentals of Statistics from scratch,Anybody seeking a career in Data Science, Business Analytics and Business Intelligence,Anybody wanting to learn the applications of Statistics in Business using real-world examples,Business Analysts, Managers and Executives Homepage https://www.udemy.com/course/statistics-for-business-analytics-data-science/ Download From 1DL https://1dl.net/hdgxfqez42qi/fuwbe.Statistics.For.Data.Science.Data.And.Business.Analysis.2022.part1.rar.html https://1dl.net/236h79lxabqv/fuwbe.Statistics.For.Data.Science.Data.And.Business.Analysis.2022.part2.rar.html https://1dl.net/ilgq4keku7zi/fuwbe.Statistics.For.Data.Science.Data.And.Business.Analysis.2022.part3.rar.html Download ( Rapidgator ) https://rapidgator.net/file/22a9827ea3f997b67ed28633d396358b/fuwbe.Statistics.For.Data.Science.Data.And.Business.Analysis.2022.part1.rar.html https://rapidgator.net/file/32c58672729e1b4ec0dde7f19441862d/fuwbe.Statistics.For.Data.Science.Data.And.Business.Analysis.2022.part2.rar.html https://rapidgator.net/file/c2c7f64a1bc97a19d3f816f299e32b96/fuwbe.Statistics.For.Data.Science.Data.And.Business.Analysis.2022.part3.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/F688867722a97416/fuwbe.Statistics.For.Data.Science.Data.And.Business.Analysis.2022.part1.rar https://uploadgig.com/file/download/Dad890FBc8c4C50D/fuwbe.Statistics.For.Data.Science.Data.And.Business.Analysis.2022.part2.rar https://uploadgig.com/file/download/CAe7aeaB5b25B795/fuwbe.Statistics.For.Data.Science.Data.And.Business.Analysis.2022.part3.rar Download ( NitroFlare ) https://nitroflare.com/view/8902407ED77EF7B/fuwbe.Statistics.For.Data.Science.Data.And.Business.Analysis.2022.part1.rar https://nitroflare.com/view/EEA6B7252E26D5F/fuwbe.Statistics.For.Data.Science.Data.And.Business.Analysis.2022.part2.rar https://nitroflare.com/view/9A670F5C83E1C11/fuwbe.Statistics.For.Data.Science.Data.And.Business.Analysis.2022.part3.rar Links are Interchangeable - No Password - Single Extraction
  8. [img]https://i.postimg.cc/Dz02qCCf/5356b2b9-1f08-49a7-8aaa-b14bd1b9c590.png[/img] English | 2022 | ISBN: ‎3030973700 | 341 pages | True PDF EPUB | 73.15 MB Now in its second edition, this textbook provides an introduction to Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics. For this new edition, the introductory chapters on Python, data input and visualization have been reworked and updated. The chapter on expental design has been expanded, and programs for the deteation of confidence intervals commonly used in quality control have been introduced. The book also features a new chapter on finding patterns in data, including series. A new appendix describes useful programming tools, such as testing tools, code repositories, and GUIs. The provided working code for Python solutions, together with easy-to-follow examples, will reinforce the reader's immediate understanding of the topic. Accompanying data sets and Python programs are also available online. With recent advances in the Python ecosystem, Python has become a popular language for scientific computing, offering a powerful environment for statistical data analysis. With examples drawn mainly from the life and medical sciences, this book is intended primarily for masters and PhD students. As it provides the required statistics background, the book can also be used by anyone who wants to perform a statistical data analysis. [b]Rapidgator[/b] [code] https://rapidgator.net/file/c23434bf7814d47b41c40ba49081900f/fCPkqh8x_An_Introduc.rar.html [/code] [b]Nitroflare[/b] [code] https://nitroflare.com/view/D21CF81DB873DAA/fCPkqh8x_An_Introduc.rar[/code]
  9. [img]https://img80.pixhost.to/images/0/317390343_uh1k8uacm1b6.png[/img] [b]Unpingco J Python for Probability,Statistics,and Machine Learning 3ed 2022 | 8.26 MB[/b] [b]N/A | 524 Pages[/b] [b]Title:[/b] N/A [b]Author:[/b] N/A [b]Year:[/b] N/A [b]Description:[/b] N/A [b]Rapidgator[/b] [code] https://rapidgator.net/file/1d5be07e0e891f27569ff437a65ea958/Unpingco_J._Python_for_ProbabilityStatisticsand_Machine_Learning_3ed_2022.rar.html [/code] [b]Nitroflare[/b] [code] https://nitroflare.com/view/F6145E96354B0E7/Unpingco_J._Python_for_ProbabilityStatisticsand_Machine_Learning_3ed_2022.rar[/code]
  10. Published 11/2022 Created by Woody Lewenstein,Starweaver Team,Paul Siegel MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 33 Lectures ( 5h 19m ) | Size: 4.65 GB Learn the concepts and techniques required to use statistics effectively to make better decisions. What you'll learn Data Analysis - Learn the most important tools for making sense of data. Data Visualization - Learn how to use Excel to create effective visuals. Interpretation - Learn to understand and comment on data visualizations. Cleaning Data - Get your data ready for analysis Sampling - Learn different methods, and when they work. Probability - Learn all the most important techniques in basic probability theory. Requirements Nothing beyond basic arithmetic and a desire to learn. Description This is a course for people who want to use statistics to make better decisions. In the course I cover all the foundational concepts needed to begin your journey in data science, business analytics, or any area in which you need to use data to understand the world. No prior knowledge of the subject is assumed, and you'll need nothing more than basic arithmetic and a desire to learn to get everything from this course.The course is hands on and practical, with a focus on showing you how to use the skills taught. Wherever possible, I show you how to implement the techniques in Microsoft Excel.Key concepts taught in the course include:· Descriptive Statistics - the nuts and bolts needed when analyzing and working with data, from averages to measures of spread and correlation, to more advanced measures such as skew.· Cleaning Data - the world sometimes gives us messy data, and I'll show you how to clean it up and make sense of it.· Visualizing Data - I'll show you all the standard ways to usefully visualize your data, and in each case show you how to use Excel to create beautiful visualizations.· Probability - I'll teach you all the fundamentals of probability, up to and including conditional probability and an intro to Bayesian statistics.As always, if you ever have questions about the content I'm waiting in the Q&A to help you out, and try to answer all my students questions.I really hope you enjoy this course!Woody Who this course is for People who want to use statistics to make better decisions. Homepage https://www.udemy.com/course/practical-statistics-for-business-and-data-science/ Download From 1DL https://1dl.net/0jfq5w630qwq/usmxa.Practical.Statistics.for.Business.and.Data.Science.part5.rar.html https://1dl.net/fg03nfwksac2/usmxa.Practical.Statistics.for.Business.and.Data.Science.part3.rar.html https://1dl.net/l7powj6z6oi8/usmxa.Practical.Statistics.for.Business.and.Data.Science.part1.rar.html https://1dl.net/mmrorwj3gbxn/usmxa.Practical.Statistics.for.Business.and.Data.Science.part2.rar.html https://1dl.net/q5ucq4eldbb4/usmxa.Practical.Statistics.for.Business.and.Data.Science.part4.rar.html Download ( Rapidgator ) https://rapidgator.net/file/0b7edf35bd2c07ccf1d3d1f4a5f002e8/usmxa.Practical.Statistics.for.Business.and.Data.Science.part2.rar.html https://rapidgator.net/file/6c9369d2f3aac2adf1517e4581eeca3e/usmxa.Practical.Statistics.for.Business.and.Data.Science.part3.rar.html https://rapidgator.net/file/8585145aae9bf7f88c0f38294d4e73fd/usmxa.Practical.Statistics.for.Business.and.Data.Science.part5.rar.html https://rapidgator.net/file/86e2b3494b0b756bf6524e58a84f2b0d/usmxa.Practical.Statistics.for.Business.and.Data.Science.part4.rar.html https://rapidgator.net/file/fbe362a3a6df2417bfe10f26ec105bbe/usmxa.Practical.Statistics.for.Business.and.Data.Science.part1.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/3029d0A9e21bf4c1/usmxa.Practical.Statistics.for.Business.and.Data.Science.part4.rar https://uploadgig.com/file/download/799b30cb6Ec3C3c5/usmxa.Practical.Statistics.for.Business.and.Data.Science.part5.rar https://uploadgig.com/file/download/a3ed790dd99D55b0/usmxa.Practical.Statistics.for.Business.and.Data.Science.part2.rar https://uploadgig.com/file/download/aa858f7a9FaDB8f9/usmxa.Practical.Statistics.for.Business.and.Data.Science.part3.rar https://uploadgig.com/file/download/af8D87cdAaF6ff36/usmxa.Practical.Statistics.for.Business.and.Data.Science.part1.rar Download ( NitroFlare ) https://nitroflare.com/view/6148B0E40E0BF4D/usmxa.Practical.Statistics.for.Business.and.Data.Science.part4.rar https://nitroflare.com/view/80E405EFC254554/usmxa.Practical.Statistics.for.Business.and.Data.Science.part3.rar https://nitroflare.com/view/D42C855E768C41B/usmxa.Practical.Statistics.for.Business.and.Data.Science.part2.rar https://nitroflare.com/view/E3D1C76F302E2C6/usmxa.Practical.Statistics.for.Business.and.Data.Science.part1.rar https://nitroflare.com/view/F2B73C7519A24E6/usmxa.Practical.Statistics.for.Business.and.Data.Science.part5.rar Links are Interchangeable - No Password - Single Extraction
  11. Published 11/2022 Created by Lakshmi Narayana MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 71 Lectures ( 8h 34m ) | Size: 10.9 GB High school math that covers Statistics in detail, with a step-by-step approach with formulae and solutions. High school math that covers Statistics in detail, with a step-by-step approach with formulae and solutions. What you'll learn Mean of Grouped Data Mode of Grouped Data Median of Grouped Data Graphical Representation of Cumulative Frequency Distribution Median from cumulative frequency curve/Ogive curve. At the end of the course, students will not only have learned about the topics in detail but also be able to solve various problems based on them. Requirements Basic elementary math knowledge. Each chapter is inbuilt with prerequisite knowledge classes where the child gets immense knowledge and a clear understanding of the chapters. Description This course is carefully designed to explain various applications of Statistics .It has 71 lectures spanning more than eight and half hours of on-demand videos that are divided into 10 sessions. The course is divided into a simplified day-by-day learning schedule.Each topic is divided into simple sessions and explained extensively by solving multiple questions. Each session contains a detailed explanation of the concept.An online test related to the concept for immediate assessment of understanding.Session-based daily home assignments with a separate key. The students are encouraged to solve practice questions and quizzes provided at the end of each session.This course will give you a firm understanding of the fundamentals and is designed in a way that a person with little or no previous knowledge can also understand very well.It covers 100% video solutions of the NCERT exercises , with selected NCERT exemplars and R D Sharma.Our design meets the real classroom experience by following classroom teaching practices. We have designed this course by keeping in mind all the needs of students and their desire to become masters in math. This course is designed to benefit all levels of learners and will be the best gift for board-appearing students. Students love these easy methods and explanations. They enjoy learning maths and never feel that maths is troublesome.Topics covered in the course:Mean of Grouped DataMode of Grouped DataMedian of Grouped DataGraphical Representation of Cumulative Frequency DistributionMedian from cumulative frequency curve/Ogive curve.With this course you'll also get:Perfect your mathematical skills on Statistics.A Udemy Certificate of Completion is available for download.Feel free to contact me with any questions or clarifications you might have.I can't wait for you to get started on mastering the real number systems.I look forward to seeing you on the course! :)Benefits of Taking this Course:On completion of this course, one will have detailed knowledge of the chapter and be able to easily solve all the problems, which can lead to scoring well in exams with the help of explanatory videos ensure complete concept understanding.Downloadable resources help in applying your knowledge to solve various problems.Quizzes help in testing your knowledge. In short, one can excel in math by taking this course. Who this course is for This course has been designed for students of Grade 10th CBSE, ICSE, SSC, GCSE, IGCSE, SAT, ACT, GRE, and other board-appearing students. These are the people whose jobs require them to solve Statistical -related problems. Students studying for the public or other competitive examinations as well as job aspirants. Home-school parents are looking for extra support with the fundamentals. Anyone interested in revising or learning the basics of mathematics should. Students in junior high and high school/secondary schools. Anyone who wants to proficient mathematics and the solving different real life situations on Statistics well. Anyone who wants to study math for fun after taking a break from school. It will also benefit schools who wish to run classes in the absence of a teacher and make learning fun for their students. It will also benefit teachers and schools who wish to improve their teaching skills and make learning fun for their students. For 11th, 9th, and 8th grade students, this will help as a bridge course. 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  12. Published 11/2022 Created by Maven Analytics,Enrique Ruiz MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 137 Lectures (7h 51m ) | Size: 2.83 GB Learn statistics with fun, real-world projects; probability distributions, hypothesis tests, regression analysis & more! What you'll learn Learn powerful statistics tools and techniques for data analysis & business intelligence Understand how to apply foundational statistics concepts like the central limit theorem and empirical rule Explore data with descriptive statistics, including probability distributions and measures of variability & central tendency Model data and make estimates using probability distributions and confidence intervals Make data-driven decisions and draw conclusions with hypothesis testing Use linear regression models to explore variable relationships and make predictions Requirements No math or stats background is required - we'll start with the absolute basics! We'll use Microsoft Excel (Office 365) for course projects and demos Description This is a hands-on, project-based course designed to help you learn and apply essential statistics concepts for data analysis & business intelligence. Our goal is to simplify and demystify the world of statistics using familiar tools like Microsoft Excel, and empower everyday people to understand and apply these tools and techniques - even if you have absolutely no background in math or stats!We'll start by discussing the role of statistics in business intelligence, the difference between sample and population data, and the importance of using statistical techniques to make smart predictions and data-driven decisions.Next we'll explore our data using descriptive statistics and probability distributions, introduce the normal distribution and empirical rule, and learn how to apply the central limit theorem to make inferences about populations of any type.From there we'll practice making estimates with confidence intervals, and using hypothesis tests to evaluate assumptions about unknown population parameters. We'll introduce the basic hypothesis testing framework, then dive into concepts like null and alternative hypotheses, t-scores, p-values, type I vs. type II errors, and more.Last but not least, we'll introduce the fundamentals of regression analysis, explore the difference between correlation and causation, and practice using basic linear regression models to make predictions using Excel's Analysis Toolpak.Throughout the course, you'll play the role of a Recruitment Analyst for Maven Business School. Your goal is to use the statistical techniques you've learned to explore student data, predict the performance of future classes, and propose changes to help improve graduate outcomes.You'll also practice applying your skills to 5 real-world BONUS PROJECTS, and use statistics to explore data from restaurants, medical centers, pharmaceutical companys, safety teams, airlines, and more.COURSE OUTLINE:Why Statistics?Discuss the role of statistics in the context of business intelligence and decision-making, and introduce the statistics workflowUnderstanding Data with Descriptive StatisticsUnderstand data using descriptive statistics, including frequency distributions and measures of central tendency & variabilityPROJECT #1: Maven Pizza ParlorModeling Data with Probability DistributionsModel data with probability distributions, and use the normal distribution to calculate probabilities and make value estimatesPROJECT #2: Maven Medical CenterThe Central Limit TheoremIntroduce the Central Limit Theorem, which leverages the normal distribution to make inferences on populations with any distributionMaking Estimates with Confidence IntervalsMake estimates with confidence intervals, which use sample statistics to define a range where an unknown population parameter likely liesPROJECT #3: Maven PharmaDrawing Conclusions with Hypothesis TestsDraw conclusions with hypothesis tests, which let you evaluate assumptions about population parameters using sample statisticsPROJECT #4: Maven Safety CouncilMaking Predictions with Regression AnalysisMake predictions with regression analysis, and estimate the values of a dependent variable via its relationship with independent variablesPROJECT #5: Maven AirlinesJoin today and get immediate, lifetime access to the following:7.5 hours of high-quality videoStatistics for Data Analysis PDF ebook (150+ pages)Downloadable Excel project files & solutionsExpert support and Q&A forum30-day Udemy satisfaction guaranteeIf you're an analyst, data scientist, business intelligence professional, or anyone looking to use statistics to make smart, data-driven decisions, this course is for you!Happy learning!-Enrique Ruiz (Lead Statistics & Excel Instructor, Maven Analytics) Who this course is for Aspiring data professionals who want an intuitive, beginner-friendly introduction to the world of statistics Business intelligence professionals who want to make confident, data-driven decisions Anyone using data to make assumptions, estimates or predictions on the job Students looking to learn powerful, practical skills with unique, hands-on projects and demos Homepage https://www.udemy.com/course/essential-statistics-for-data-analysis/ Download ( Rapidgator ) https://rapidgator.net/file/4c4a8cde8c5f5b12816156ea4f6759a7/ybtpb.Essential.Statistics.for.Data.Analysis.part2.rar.html https://rapidgator.net/file/7d04c08af13de4307a45943db8e0f823/ybtpb.Essential.Statistics.for.Data.Analysis.part1.rar.html https://rapidgator.net/file/b1aeabaed34065cd5cc22f1a9c7c046c/ybtpb.Essential.Statistics.for.Data.Analysis.part3.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/8006D7d6c68f43a0/ybtpb.Essential.Statistics.for.Data.Analysis.part1.rar https://uploadgig.com/file/download/b864864Db86Aaf10/ybtpb.Essential.Statistics.for.Data.Analysis.part3.rar https://uploadgig.com/file/download/ddf9a08Ed3D5dc29/ybtpb.Essential.Statistics.for.Data.Analysis.part2.rar Download ( NitroFlare ) https://nitroflare.com/view/37E2805201656AD/ybtpb.Essential.Statistics.for.Data.Analysis.part2.rar https://nitroflare.com/view/467AFEE02FF4F2C/ybtpb.Essential.Statistics.for.Data.Analysis.part1.rar https://nitroflare.com/view/ACFCF678ABA697E/ybtpb.Essential.Statistics.for.Data.Analysis.part3.rar Links are Interchangeable - No Password - Single Extraction
  13. Published 8/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 2.37 GB | Duration: 6h 58m There's NO better way to spend your free time than to learn how to build practical projects What you'll learn Combinatorics For Probability Calculate Center Of Distribution Distributions in Machine Learning Machine Learning Optimization Requirements No experience necessary Description Buff your skills to keep your job and get a raise in ANY economic climate. This course BUNDLE keeps your skills sharp and your paycheque up!Probability and Statistics for Machine LearningDistributions in Machine LearningMachine Learning OptimizationThis masterclass is without a doubt the most comprehensive course available anywhere online. Even if you have zero experience, this course will take you from beginner to professional.Frequently Asked QuestionsHow do I obtain a certificate?Each certificate in this bundle is only awarded after you have completed every lecture of the course.Many of our students post their Mammoth Interactive certifications on LinkedIn. Not only that, but you will have projects to show employers on top of the certification.Is this an eBook or videos?The majority of this course bundle will be video tutorials (screencasts of practical coding projects step by step.) We will also have several PDFs and all source code.Can't I just learn via Google or YouTube?This bundle is much more streamlined and efficient than learning via Google or YouTube. We have curated a massive 5-course curriculum to take you from absolute beginner to starting a high-paying career.How will I practice to ensure I'm learning?With each section there will be a project, so if you can build the project along with us you are succeeding. There is also a challenge at the end of each section that you can take on to add more features to the project and advance the project in your own time.Mammoth Interactive is a leading online course provider in everything from learning to code to becoming a YouTube star. Mammoth Interactive courses have been featured on Harvard's edX, Business Insider and more. Founder and CEO John Bura has been programming since 1997 and teaching since 2002. John has created top-selling applications for iOS, Xbox and more. John also runs SaaS company Devonian Apps, building efficiency-minded software for technology workers like you. Try a course today. Overview Section 1: Introduction Lecture 1 Introduction Section 2: 01 (Prerequisite) Introduction to Machine Learning Lecture 2 00A What Is Machine Learning Lecture 3 00B Types Of Machine Learning Models Lecture 4 00C What Is Supervised Learning Lecture 5 01 How Does A Machine Learning Agent Learn Lecture 6 02 What Is Inductive Learning Section 3: 02 (Prerequisite) Introduction to Python Lecture 7 00. Introduction Section 4: 02 - 01 Code Python on the Web Lecture 8 02.01 What is Google Colab Lecture 9 02.02 What If I Get Errors Lecture 10 02.03 How Do I Terminate a Session Section 5: 02 - 02 Python Language Fundamentals Lecture 11 02. Variables Lecture 12 03. Type Conversion Examples Lecture 13 04. Operators Lecture 14 05. Operators Examples Lecture 15 06. Collections Lecture 16 07. Lists Lecture 17 08. Multidimensional List Examples Lecture 18 09. Tuples Examples Lecture 19 10. Dictionaries Examples Lecture 20 11. Ranges Examples Lecture 21 12. Conditionals Lecture 22 13. If Statement Examples Lecture 23 14. If Statement Variants Examples Lecture 24 15. Loops Lecture 25 16. While Loops Examples Lecture 26 17. For Loops Examples Lecture 27 18. Functions Lecture 28 19. Functions Examples Lecture 29 20. Parameters And Return Values Examples Lecture 30 21. Classes And Objects Lecture 31 22. Classes Example Lecture 32 23. Objects Examples Lecture 33 24. Inheritance Examples Lecture 34 25. Static Members Example Lecture 35 26. Summary And Outro Section 6: 03 Probability and Statistics for Machine Learning Lecture 36 01 Probability And Information Theory Overview Lecture 37 02 Combinatorics For Probability Lecture 38 03 Law Of Large Numbers Lecture 39 04 Calculate Center Of Distribution Section 7: 04 Distributions in Machine Learning Lecture 40 01 Uniform Distribution Lecture 41 02 Gaussian Distribution Lecture 42 03 Log-Normal Distribution Lecture 43 04 Exponential Distribution Lecture 44 05 Laplace Distribution Lecture 45 06 Binomial Distribution Lecture 46 07 Multinomial Distribution Lecture 47 08 Poisson Distribution Section 8: 05 Machine Learning Optimization Lecture 48 01 Calculate Error Of Machine Learning Model Anyone who needs to learn the fundamentals required for machine learning Homepage https://www.udemy.com/course/probability-and-statistics-for-machine-learning/ Download ( Rapidgator ) https://rapidgator.net/file/46784568647811d69c09adab2290cc83/prmsh.Probability.And.Statistics.For.Machine.Learning..Udemy.part2.rar.html https://rapidgator.net/file/49c4634ab36dff338365e808af4fb063/prmsh.Probability.And.Statistics.For.Machine.Learning..Udemy.part1.rar.html https://rapidgator.net/file/5bfbccd6e0cd36d31229b67344583424/prmsh.Probability.And.Statistics.For.Machine.Learning..Udemy.part3.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/5736019Cf1c4b3Df/prmsh.Probability.And.Statistics.For.Machine.Learning..Udemy.part3.rar https://uploadgig.com/file/download/95d225c7daC8707c/prmsh.Probability.And.Statistics.For.Machine.Learning..Udemy.part2.rar https://uploadgig.com/file/download/B5E760a376b78df9/prmsh.Probability.And.Statistics.For.Machine.Learning..Udemy.part1.rar Download ( NitroFlare ) https://nitroflare.com/view/8157E8950D1A2A6/prmsh.Probability.And.Statistics.For.Machine.Learning..Udemy.part3.rar https://nitroflare.com/view/ED3C7D5DC50F932/prmsh.Probability.And.Statistics.For.Machine.Learning..Udemy.part2.rar https://nitroflare.com/view/FC7F13DEB306E0D/prmsh.Probability.And.Statistics.For.Machine.Learning..Udemy.part1.rar Links are Interchangeable - No Password - Single Extraction
  14. Last updated 1/2021 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 1.15 GB | Duration: 3h 9m This Spotle masterclass by industry and academic leaders is for people who want to build careers in machine learning What you'll learn Probability Conditional Probability Bayes Theorem Random Variables Variance And Covariance Probability Distribution In Python Measuring Central Tendency Skewness and Kurtosis Basic Statistics And Data Visualization Using Python Missing Data Imputation Statistical Estimation Overview Of Artificial Intelligence Overview Of Machine Learning Overview Of Data Science Types Of Machine Learning Supervised And Unsupervised Machine Learning Semi-supervised Machine Learning Reinforcement Learning Requirements You will need to have a computer or a mobile handset with an internet connection Description Data science, machine learning have become key industry drivers in the global job and opportunity market. And statistics is at the core of data science and machine learning. This course with lectures from industry experts and Ivy League academics will help students, recent graduates and young professionals learn statistics and focus deeper in their data science, machine learning careers ahead.In this course you will learn:ProbabilityConditional probabilityBayes TheoremRandom variablesProbability distributionProbability distribution using Python programming languageMeasuring central tendencyMeasuring skewness and kurtosisBasic statistics and data visualization using pythonStatistical estimationMissing data imputationOverview of artificial intelligence, machine learning and data scienceTypes of machine learningSpotleSpotle is an AI-powered talent network matching you to the relevant career path in real-time. Targeted at the highly mobile millennial and Gen-Z workforce, Spotle provides a dynamic and agile platform to discover career choices matched to your life goals.The AI pulls your professional data, analyses your career goals and automatically finds the right networks, career paths and opportunities for you. Think of it as your AI-enabled assistant working 24/7 to help your career grow. Powered by a mix of NLP, predictive modelling and machine learning Spotle crunches all your professional data in the background and automatically discovers for you the right opportunities, networks and career resources for you. Spotle is focused on students and young professionals in the early stages of their career and we understand how important it is for you to have a solid start. The Spotle Learn platform aggregates learnings and content from top academics and industry practitioners and helps you build your skill through an adaptive learning path.For companies or employers, Spotle uses deep matching to instantly surface the right talents you will want to hire. It simplifies the entire hiring process through AI-powered candidate matching. Your talent pipelining becomes easy as Spotle recommends potential hires based on your hiring goals and lets you engage with passive candidates who are not actively applying to jobs right now. It gives you a periscopic view into campus talents through leaderboards and innovative skill points.Spotle reaches over 20,000 Recruiters and a million plus students and young professionals. The company works with leading campuses and companies to craft the right career matches. Overview Section 1: Introduction To Probability Lecture 1 Introduction, Rules And Conditional Probability Section 2: Conditional Probability Lecture 2 Conditional Probability Lecture 3 Bayes Theorem And Conditional Probability Section 3: Random Variables And Distribution Lecture 4 Random Variables And Distribution Lecture 5 Random Variables Expectations And Variance Section 4: Probability Distribution In Python Lecture 6 Explaining Probability Distribution In Python Section 5: Central Tendency Lecture 7 Measuring Central Tendency Section 6: Skewness And Kurtosis Lecture 8 Measuring Skewness And Kurtosis Section 7: Basic Statistics And Data Visualization Lecture 9 Basic Statistics And Data Visualization Using Python Section 8: Missing Data Imputation Lecture 10 Missing Data Imputation - Part 1 Lecture 11 Missing Data Imputation - Part 2 Section 9: Statistical Inference Lecture 12 Statistical Estimation Section 10: Introduction To AI, Machine Learning And Data Science Lecture 13 Introduction To Artificial Intelligence Lecture 14 Introduction To Machine Learning Lecture 15 Introduction To Data Science Section 11: Types Of Machine Learning Lecture 16 Supervised And Unsupervised Learning Lecture 17 Semi-supervised Machine Learning Lecture 18 Reinforcement Learning Anyone who wants to learn probability and statistics,Anyone who wants to start a career in data science, machine learning Homepage https://www.udemy.com/course/statistics-for-machine-learning-by-spotle/ Download ( Rapidgator ) https://rapidgator.net/file/89d7f8a3d1a5b7c8a44c4d267170754f/tbpio.Statistics.For.Machine.Learning.By.Spotle.part1.rar.html https://rapidgator.net/file/80259bfbd19f29774018f51c1ec508cd/tbpio.Statistics.For.Machine.Learning.By.Spotle.part2.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/4D2f2e2310863a1e/tbpio.Statistics.For.Machine.Learning.By.Spotle.part1.rar https://uploadgig.com/file/download/2dFad6473A7785fd/tbpio.Statistics.For.Machine.Learning.By.Spotle.part2.rar Download ( NitroFlare ) https://nitroflare.com/view/2DD4E7232F00467/tbpio.Statistics.For.Machine.Learning.By.Spotle.part1.rar https://nitroflare.com/view/BA723C20040A613/tbpio.Statistics.For.Machine.Learning.By.Spotle.part2.rar Links are Interchangeable - No Password - Single Extraction
  15. Released 08/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 1h 30m | Size: 1.5 GB Statistics are everywhere, in every industry, but they're a must for anyone working in data science, business, or business analytics. If you're in one of these specialized fields, chances are you need an advanced understanding of statistics. Complete your mastery in this course, part four in our Statistics Foundations series. Eddie Davila covers concepts such as small sample sizes, t-distribution, degrees of freedom, and more. This advanced skills training moves learners into the practical study and application of experimental design, analysis of variance (ANOVA), two-population comparisons, and regression analysis. Use these lessons to go beyond the basics and dive deeper into the specific factors that influence your own calculations and results. Homepage https://www.linkedin.com/learning/statistics-foundations-advanced-topics? Download from UploadCloud https://www.uploadcloud.pro/25pxs7wgcw0e/hvqjn.Statistics.Foundations.Advanced.Topics.part1.rar.html https://www.uploadcloud.pro/jjn8m8myajaq/hvqjn.Statistics.Foundations.Advanced.Topics.part2.rar.html Download ( Rapidgator ) https://rapidgator.net/file/0cd219bbd0f6d7e2a31f02942b1be227/hvqjn.Statistics.Foundations.Advanced.Topics.part1.rar.html https://rapidgator.net/file/6bd3ac401e0b4015b755d14b9e399bce/hvqjn.Statistics.Foundations.Advanced.Topics.part2.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/8b273f2f087e1d55/hvqjn.Statistics.Foundations.Advanced.Topics.part1.rar https://uploadgig.com/file/download/E2038e8a953E3ed1/hvqjn.Statistics.Foundations.Advanced.Topics.part2.rar Download ( NitroFlare ) https://nitroflare.com/view/55546A72B642CBD/hvqjn.Statistics.Foundations.Advanced.Topics.part1.rar https://nitroflare.com/view/6DE40CA4A5D1D7F/hvqjn.Statistics.Foundations.Advanced.Topics.part2.rar Links are Interchangeable - No Password - Single Extraction
  16. Last Updated 01/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 187 lectures (18h 49m) | Size: 10.6 GB Probability, Distribution, Descriptive Analysis, Correlation & Regression analysis ,Research Analysis What you'll learn Understand Fundamentals Of Statistics Implement Basic Statistics Understand Various Statistical Distributions Understanding Regression & Measures of Dispersion Time Series AnalysisBe able to understand different types of data Understanding Correlation And Regression Analysis Understanding Skewness & Kurtosis How to plot different types of Data Understanding In depth Index Numbers Probability Requirements There is no prerequisites Description Welcome to Complete Statistics for Business Analysis and Data Science + Practical questions! This course has been designed from Scratch to Advanced level. Fundamentals of Statistics Learn about Statistics including important statistic business terms. Presentation Of Data & Data Distribution, Measurements Of Central Tendency including Arithmetic Mean, Median, Mode, Harmonic Mean, Geometric Mean, Winsorized Mean, Trimmed Mean, Quartiles, Deciles & Percentiles. Detailed Data Distribution Measures of Dispersion including absolute measures of dispersion and relative measures of dispersion , Range, Coefficient of Range, Quartile Deviation, Coefficient of Quartile Deviation, Mean Deviation through Mean, Median and Mode, Coefficient of Mean Deviation Median Deviation & Mode Deviation, Standard Deviation & Coefficient of Standard Deviation, Variance & Coefficient of Variation. Learning Skewness and its measures & Kurtosis Learn Correlation simple, Ranked and combined, Regression simple and Multiple. Regression, including scatterplots, correlation coefficient Numbers simple and composite including simple and chain index, weighted and un-weighted index & Consumer Price Index Time series Analysis including semi average method, moving average, 4 quarter moving average centered, least square method, decomposition, ratio to moving average . Probability All with Practical Questions YOU'LL ALSO GET Lifetime access to Complete Statistics for Business Analysis and Data Science Friendly support in the Q&A section Udemy Certificate of Completion available for download 30-day money back guarantee Who this course is for People who want a career in Data Science People who want a career in Business Intelligence Business analysts Business executives Research Analysis Individuals who are passionate about numbers and quant analysis Anyone who wants to learn the subtleties of Statistics and how it is used in the business world People who want to start learning statistics People who want to learn the fundamentals of statistics Students, I hope you will enjoy the course as much as I have wile designing the course. Students if you have any questions related to topics mentioned above kindly leave in the comments feedback section below. Enroll Now to start the journey! Best Regards Iftikhar A. Who this course is for Students of Business & Finance (beginners & advanced) & every one who needs & manage to business well. 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  17. Last updated 9/2021 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 2.25 GB | Duration: 9h 16m Learn Fundamentals of Statistics with supporting case studies What you'll learn Understand Basics of Statistics Understand Mean, Median and Mode Understand Deviations like Quartile Deviation, Standard Deviation, etc. Understand Correlation Understand Reggression Requirements Students can approach this course with fresh mind. No prior knowledge in Statistics is required. Description Welcome to the course Basics of Statistics - A Comprehensive Study. Statistics is required in every walk of business life to take decisions. When we take decision, it should be an informed one. Once we have statistics, we can be sure that decision is taken considering various factors. In this course, you will learn about the basics of statistics in depth covering a) Introduction to Statistics; b) Collection of Data; c) Presentation of Data; d) Frequency Distribution; e) Measures of Central Tendency covering Arithmetic Mean, Median and Mode f) Measures of Dispersion covering Range, Quartile Deviation and Standard Deviation g) Correlation h) Regression. This course is basically a bundle of other courses namely i) Basics of Business Statistics ii) Statistics - Measures of Central Tendency iii) Statistics - Measures of Dispersion iv) Statistics and Correlation. If you are buying this course, make sure you don't buy the above courses. This course is structured in self paced learning style. Video lectures are used for delivering the course content. Numerous case studies were solved in hand written presentation. Take this course to gain good knowledge in basics of statistics. (Please be guided that this course teaches Statistics only from Academic point of view. Hence, teaching style will be absolutely Academic based) Overview Section 1: Basics of Business Statistics Lecture 1 Introduction Lecture 2 History of Statistics Lecture 3 Science of Statistics Lecture 4 Applications of Statistics Lecture 5 Limitations of Statistics Lecture 6 Definition of Statistics Lecture 7 Functions of Statistics Lecture 8 Collection of Data Lecture 9 Collection of Primary Data Lecture 10 Sources of Secondary Data Lecture 11 Presentation of Data Lecture 12 Frequency Presentation Section 2: Collection and Presentation of Data Lecture 13 Mode of Presentation of Data Lecture 14 Textual Presentation of Data Lecture 15 Tabulation of Data Lecture 16 Diagrammatic representation of Data Lecture 17 Line Diagram Lecture 18 Bar Diagram Lecture 19 Multiple Line Chart Lecture 20 Multiple Bar Chart Lecture 21 Pie Chart Lecture 22 Frequency Distribution Lecture 23 Example for Frequecy Distribution Table Lecture 24 Frequency Distribution Tally Method Lecture 25 Continuous Frequency Distribution Lecture 26 Technical Terms of Continuous Frequency Distribution Lecture 27 No of Class Intervals Lecture 28 Size of Class Interval Lecture 29 Types of Class Intervals Section 3: Measures of Central Tendency Lecture 30 Introduction Measures of Central Tendency Lecture 31 Case Study - Arithmetic Mean Lecture 32 Arithmetic Mean Lecture 33 Case Study - Arithmetic Mean Short cut method Lecture 34 Arithmetic Mean Short cut method Lecture 35 Case Study - Arithmetic Mean Grouped data Lecture 36 Arithmetic Mean Grouped data Lecture 37 Case Study - Arithmetic Mean Class Intervals Lecture 38 Arithmetic Mean Class Intervals Lecture 39 Median Lecture 40 Median case study Lecture 41 Median Discrete Frequency Distribution Lecture 42 Case Study Median Discrete Frequency Distribution Lecture 43 Median Continuous Freqnuency Distribution Lecture 44 Median Continuous Frequency Distribution Exclusive Class Intervals Lecture 45 Median Graphics Lecture 46 Quartile Lecture 47 Quartile Raw or Ungrouped Data Lecture 48 Quartile Discrete Series Lecture 49 Quartile Continuous Series Explanation Lecture 50 Quartile Continuous Series Case Study Lecture 51 Deciles Lecture 52 Decile for Grouped Data Case Study Lecture 53 Percentile Lecture 54 Percentile Grouped Data Case Study Lecture 55 Mode Lecture 56 Mode for Grouped Data Lecture 57 Mode for Continuous Frequency Distribution Case Study Lecture 58 Mode for Continuous Frequency Distribution Case Study Section 4: Measures of Dispersion Lecture 59 Introduction Lecture 60 Objectives of Measures of Dispersion Lecture 61 Expression of Dispersion Lecture 62 Important measures of dispersion Lecture 63 Case Study Material - Range Lecture 64 Range Lecture 65 Case Study Material Quartile deviation Lecture 66 Quarrtile Deviation Lecture 67 Case Study #1 Quartile Deviation Handout Lecture 68 Case Study #1Quartile deviation Lecture 69 Case Study #2 Quarlite Deviation Lecture 70 Quartlie Deviation Continuous Frequency Distribution Lecture 71 Case Sudy Quartile Deviation Continuous Frequency Distribution Lecture 72 What is Standard Deviation Lecture 73 Variance and Coefficient of Variation Lecture 74 Procedure for Calculating Standard Deviation in Individual Series Lecture 75 Case#1 Standard Deviation Lecture 76 Standard Deviation Alternate formula Lecture 77 Case #2 Coefficient of Variation Lecture 78 Case#3 Standard Deviation Lecture 79 Case#4 Standard Deviation Lecture 80 Case#5 Standard Deviation Lecture 81 Standard Deviation in case of discrete frequency distribution Lecture 82 Case #6 Standard Deviation Discrete Frequency Distribution Lecture 83 Standard Deviation in case of Continuous frequency distribution Lecture 84 Case #7 Standard Deviation Continuous Frequency Distribution Section 5: Correlation Lecture 85 Introduction Lecture 86 Scatter Diagram Lecture 87 Types of correlation Lecture 88 Correlation computation Lecture 89 Case study 1 correlation Lecture 90 Case Study 2 correlation Lecture 91 Case Study 3 correlation Lecture 92 Correlation grouped data Lecture 93 Rank correlation Lecture 94 Rank Correlation in case of tie of ranks Section 6: Regression Analysis Lecture 95 Regression Analysis Introduction Lecture 96 Types of Regression Lecture 97 Methods of Regression Analysis Lecture 98 Graphic Methods Regression Analysis Lecture 99 Regression Lines Lecture 100 Linear Regression Equation Lecture 101 Algebric Method of Regression Equation Lecture 102 Regression Equation Case Study 1 Lecture 103 Regression Coefficient Explanation Lecture 104 Regression Coefficient Case Study 2 Lecture 105 Mode Case Study Using Grouping Method Section 7: Time Series Lecture 106 Time Series introduction Lecture 107 Componets of Time Series Lecture 108 Graphical Method Lecture 109 Semi Average Method of Time Series Section 8: Probability Lecture 110 What is Probability? Lecture 111 Probability Example & Basic Formulae Lecture 112 Problem 1 Lecture 113 Problem 2 Lecture 114 Problem 3 Lecture 115 Problem 4 Section 9: FINAL SECTION Lecture 116 Bonus Lecture CA / CMA / CS Students,Students pursuing CA / CMA / CS / Higher Secondary / Statistics courses,B.Com I Year Students Homepage https://www.udemy.com/course/basics-of-statistics-a-comprehensive-study/ Download ( Rapidgator ) https://rapidgator.net/file/64eb50e44fa1f99933855736158eab03/uyttb.Basics.Of.Statistics..A.Comprehensive.Study.College.Level.part1.rar.html https://rapidgator.net/file/65089c3650259726d412fddacbc22be1/uyttb.Basics.Of.Statistics..A.Comprehensive.Study.College.Level.part2.rar.html https://rapidgator.net/file/adf058744a8e5f111b64722505b35cf9/uyttb.Basics.Of.Statistics..A.Comprehensive.Study.College.Level.part3.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/0C5a14bd3df95D7e/uyttb.Basics.Of.Statistics..A.Comprehensive.Study.College.Level.part3.rar https://uploadgig.com/file/download/24dbf6745b9B6C87/uyttb.Basics.Of.Statistics..A.Comprehensive.Study.College.Level.part2.rar https://uploadgig.com/file/download/62704a65434d34C4/uyttb.Basics.Of.Statistics..A.Comprehensive.Study.College.Level.part1.rar Download ( NitroFlare ) https://nitroflare.com/view/886DC4B887480EF/uyttb.Basics.Of.Statistics..A.Comprehensive.Study.College.Level.part1.rar https://nitroflare.com/view/8D3ABA2B7530F85/uyttb.Basics.Of.Statistics..A.Comprehensive.Study.College.Level.part3.rar https://nitroflare.com/view/A4990059D20FFCF/uyttb.Basics.Of.Statistics..A.Comprehensive.Study.College.Level.part2.rar Links are Interchangeable - No Password - Single Extraction
  18. Published 8/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 1.37 GB | Duration: 3h 37m Learn how to correct common statistical and probability mistakes to make optimum decision under uncertianty What you'll learn Learn how statistics is used by various people and organizatons to deceive others Learn how to detect and prevent most prevalent statistical deceptions Learn how to use various probabilistic tools to make better decisions under uncertianty Learn powerful statistics-based decision making techniques to improve productivity Make more robust business and personal decisions to succeed in todays information-age Requirements Basic High-School Mathematics Description The objective of the course is to take statistics and probability out of textbooks, and show how they should be used to make decisions in day to day life. It has three main sections. 1. Show how to detect common statistical deceptions that are everywhere around us From media, marketers to businessmen and politicians, everyone use statistics to hide facts or bend it in ways that serve their own selfish purpose. The course shows ten most common broad ways statistics is used to deceive others and how one can detect and overcome those deceptions. 2. Teach how to use simple probability based techniques to make decisions under uncertaintyMost things in our lives are uncertain. To a great extent randomness shape both our personal and professional lives. Yet, most of us are not fully skilled to deal with the risks and uncertainties that determine the course of our lives.From chances of rain tomorrow, amount of sales & profit from a new business, to performance of the new hire or validity of a cancer screening test, everything is probabilistic. This course shows how you can use various probabilistic tools to make optimum business and personal decisions in some of the most common and important situations we all face. 3. Teach a set of highly useful decision making techniques that make use of statistics and probability Over many decades several robust methods and techniques have been developed to deal with uncertain situations. The course teaches you six such strong methods you can use to improve your decision making and productivity. In summary, this course teaches many useful and practical ways to use statistics and probability to deal with information asymmetry, data overload, randomness and uncertainty in order to make robust personal and business decisions and therefore live up to one's fullest potential.From beginners to experienced professionals, everyone can get immensely benefited from the insights and methods taught in this course. Overview Section 1: Detect & Correct Most Common Statistical Deceptions & MIstakes Lecture 1 Introduction Lecture 2 Sampling Bias Lecture 3 Sample Size Lecture 4 Small Numbers Lecture 5 Average Problem Lecture 6 Simpson's Paradox Lecture 7 Cause-Effect-Correlation Lecture 8 Statisculation Lecture 9 Half-Relevant Data Lecture 10 Check The Scale Lecture 11 Comparison by Picture Section 2: Probability-Tools For Better Decision Making Lecture 12 What is Probability ? Lecture 13 Risk vs. Uncertainty Lecture 14 How to Model Natural Events Lecture 15 Probability is Counter-Intuitive Lecture 16 Prior Probability & Bayes' Theorem Lecture 17 Monte Carlo Simulation Lecture 18 Probability Has No Memory Lecture 19 Low Probability Events Lecture 20 Gains & Losses Section 3: Few Important Techniques & Watchouts Lecture 21 Overfitting Lecture 22 Optimal Stopping Lecture 23 Multi-Armed Bandit Lecture 24 Game Theory Lecture 25 Cherry Picking Lecture 26 Stage Migration Students, Professionlas, Business Leaders Homepage https://www.udemy.com/course/use-statistics-probability-for-better-decision-making/ Download ( Rapidgator ) https://rapidgator.net/file/71f46df42e42ffe2e7b24df0ec88e691/snhzb.Use.Statistics..Probability.For.Better.Decision.Making.part1.rar.html https://rapidgator.net/file/92130b08e21ed460d2eeaee64f076b05/snhzb.Use.Statistics..Probability.For.Better.Decision.Making.part2.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/2b10a90c63468c72/snhzb.Use.Statistics..Probability.For.Better.Decision.Making.part2.rar https://uploadgig.com/file/download/a2d4456645138a13/snhzb.Use.Statistics..Probability.For.Better.Decision.Making.part1.rar Download ( NitroFlare ) https://nitroflare.com/view/24187F5A0724419/snhzb.Use.Statistics..Probability.For.Better.Decision.Making.part2.rar https://nitroflare.com/view/9EF77B62778D402/snhzb.Use.Statistics..Probability.For.Better.Decision.Making.part1.rar Links are Interchangeable - No Password - Single Extraction
  19. Last updated 4/2020 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 2.95 GB | Duration: 3h 25m Master Statistics for Data Science and Business Decisions. What you'll learn Master the fundamentals of Statistics for making effective business decisions Requirements No Description The ability to understand and apply Business Statistics is becoming increasingly important in the industry. A good understanding of Business Statistics is required to make correct and relevant interpretations of data. Lack of this knowledge could lead to erroneous decisions which could potentially have negative consequences for a firm. This course is designed to introduce you to Business Statistics.Course Contents include:Basic Data DescriptorsCategories of descriptive dataMeasures of central tendencyMeasures of DispersionStandard deviation measure and Chebyshev's theoremDescriptive Measures of Association, Probability, and Statistical DistributionsMeasures of association, the covariance and correlation measuresCausation versus correlationProbability and random variablesDiscrete versus continuous dataIntroduction to statistical distributionsThe Normal DistributionWorking with Distributions, Normal, Binomial, PoissonApplications of the Normal distributionThe Binomial and Poisson distributionsSample versus population dataCentral Limit TheoremRegression AnalysisWelcome to this course. Overview Section 1: Introduction Lecture 1 Course Overview Section 2: Descriptive Statistics Lecture 2 Introduction to Descriptive Statistics Section 3: Descriptive Statistics: Measures of Central Tendency Lecture 3 Mean, Median and Mode Lecture 4 Mean vs Median Section 4: Descriptive Statistics: Measures of Dispersion Lecture 5 Measures of Dispersion - Range and IQR Lecture 6 Box Plots Lecture 7 Standard Deviation Lecture 8 Chebyshev's Theorem Section 5: Descriptive Statistics: Measures of Association Lecture 9 Measures of Association Lecture 10 Covariance Lecture 11 Correlation Section 6: Probability and Random Variables Lecture 12 Probability Lecture 13 Random Experiment and Random Variables Lecture 14 Probability Distributions Section 7: Normal Distribution Lecture 15 Understanding Normal Distribution Lecture 16 Visualizing effect of mean and standard deviation for Normal Distribution Lecture 17 Notation and Standard Normal Distribution Lecture 18 Using Normal Distribution in Excel and Python Lecture 19 NORM.INV and norm.ppf functions Section 8: Case Study: Business decision on choosing production process Lecture 20 Question: Business Decision using Normal Distribution Section 9: Sampling and Central Limit Theorem Lecture 21 Why Sampling? Lecture 22 Random Sampling Lecture 23 Central Limit Theorem Section 10: Discrete Probability Distributions Lecture 24 Bernoulli Process Lecture 25 Binomial Distribution Lecture 26 Poisson Distribution Lecture 27 Poisson Distribution - Examples Section 11: Regression Analysis Lecture 28 Regression - Introduction Lecture 29 Regression - Building the Model Lecture 30 Estimating model parameters - Python Lecture 31 Estimating model parameters - Excel LINEST() (Optional) Lecture 32 Interpreting estimated model Lecture 33 Prediction on new data Lecture 34 Errors, Residuals and R-square Data scientists, Business analysts, statistics students Homepage https://www.udemy.com/course/statistics-for-business-decisions/ Download ( Rapidgator ) https://rapidgator.net/file/22d2f402487e0822f434cc269560bc2d/aenef.Statistics.For.Data.Science.And.Business.Decisions.part3.rar.html https://rapidgator.net/file/2c341fa50b4d81bed4778fc3d93895a2/aenef.Statistics.For.Data.Science.And.Business.Decisions.part2.rar.html https://rapidgator.net/file/7f63be83ea8b37934ad05a289712c05b/aenef.Statistics.For.Data.Science.And.Business.Decisions.part1.rar.html https://rapidgator.net/file/9da7a2fb63c87ebc0c015d91b8b5d7f7/aenef.Statistics.For.Data.Science.And.Business.Decisions.part4.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/30dae4cea5E5c027/aenef.Statistics.For.Data.Science.And.Business.Decisions.part3.rar https://uploadgig.com/file/download/5E383C5C4f0753aa/aenef.Statistics.For.Data.Science.And.Business.Decisions.part2.rar https://uploadgig.com/file/download/D0df807ad7f2fb4f/aenef.Statistics.For.Data.Science.And.Business.Decisions.part4.rar https://uploadgig.com/file/download/fa147b02fF2a2Dc6/aenef.Statistics.For.Data.Science.And.Business.Decisions.part1.rar Download ( NitroFlare ) https://nitroflare.com/view/0552EA499F42140/aenef.Statistics.For.Data.Science.And.Business.Decisions.part3.rar https://nitroflare.com/view/05D59D289C948F1/aenef.Statistics.For.Data.Science.And.Business.Decisions.part1.rar https://nitroflare.com/view/30E5A4E526FE12A/aenef.Statistics.For.Data.Science.And.Business.Decisions.part2.rar https://nitroflare.com/view/60193395E47B930/aenef.Statistics.For.Data.Science.And.Business.Decisions.part4.rar Links are Interchangeable - No Password - Single Extraction
  20. Published 8/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 208.01 MB | Duration: 0h 35m Analysis with SPSS What you'll learn Basics of Statistics Analysis by SPSS Build a predict model of data Understand some of the common stochastic models encountered in Bioinformatics This course can be use in Biostatistics, Applied Machine Learning, Computational Drug Designing This course will be helpful in microarray for linear models, gene expression analysis, clustering, PCA plotting and quality control etc Requirements No knowledge of statistics needed. You will learn from scratch to advance of Statistics. Description Bioinformatics is concerned with the study of inherent structure of biological information and statistical methods are the workhorses in many of these studies. Statistical Bioinformatics acknowledges the inherent variation found in data that are generated as part of the Bioinformatics investigation and attempts to utilize experimental structure and design to partition variation in biological and technical components.This course introduces the statistical methods commonly used in Bioinformatics and biological research. Improvements in modern biology have led to a rapid increase in sensitivity and measurability in experiments and have reached the point where it is often impossible for a scientist alone to sort through the large volume of data that is collected from just one experiment. Students will learn the principles behind statistical methods and how they can be applied to analyses biological sequences and data.There has been a great explosion of biological data and information in recent years, largely due to the advances of various high-throughput biotechnologies such as mass spectrometry, high throughput sequencing, and many genome-wide SNP profiling, RNA gene expression microarray, protein mass spectrometry, and many other recent high-throughput biotechniques. We can tackle all big data with statistics with different software's like R, SPSS, Minitab, SAS and MATLAB. Statistical theory or methods to be introduced in this course include Z-test, t-test, regression, ANOVA, hypothesis testing and multivariate data analysis. Overview Section 1: Statistics Lecture 1 Introduction of Statistics Lecture 2 Introduction of SPSS Section 2: Descriptive Statistics Lecture 3 Mean, Median, Mode and Variance Lecture 4 Variance and Standard Deviation with calculation Lecture 5 What is Skewness and Kurtosis? Lecture 6 Quartiles Lecture 7 Descriptive Analysis by SPSS Lecture 8 Coefficient of Correlation Lecture 9 Coefficient of Correlation by SPSS Section 3: Inferential Statistics Lecture 10 Introduction of Inferential Statistics Lecture 11 Least Square Method in Linear Regression Lecture 12 Methods of Linear Regression Lecture 13 Linear Regression by SPSS Section 4: Multiple Linear Regression Lecture 14 Method of Multiple Linear Regression Lecture 15 Multiple Linear Regression by SPSS Section 5: Hypothesis Testing Lecture 16 Introduction of Hypothesis Testing and its tests Lecture 17 Hypothesis Testing by SPSS I Lecture 18 Hypothesis Testing by SPSS II Section 6: ANOVA Lecture 19 Introduction of ANOVA and its types Lecture 20 One way ANOVA by SPSS Lecture 21 Two way ANOVA by SPSS Beginner of statistics,Beginner of Bioinformatics,Beginner of Biostatistics Homepage https://www.udemy.com/course/statistics-for-bioinformatics-i/ Download ( Rapidgator ) https://rapidgator.net/file/7f0b810a50ad8684534fa25276082aff/rqqvq.Statistics.For.Bioinformatics.I.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/279Dced6c671f4C9/rqqvq.Statistics.For.Bioinformatics.I.rar Download ( NitroFlare ) https://nitroflare.com/view/0466FFA7E8FCF3C/rqqvq.Statistics.For.Bioinformatics.I.rar Links are Interchangeable - No Password - Single Extraction
  21. Last Updated 05/2021 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 47 lectures (5h) | Size: 4.3 GB Master the Fundamentals of Probability and Statistics What you'll learn Permutations and Combinations Conditional Probability Bayes' Theorem Discrete Random Variables Continuous Random Variables Binomial Distribution Geometric Distribution Negative Binomial Distribution Poisson Distribution Normal Distribution Sampling Confidence Intervals Hypothesis Testing Correlations and Regression Requirements Basic probability concepts learnt at middle school/secondary school level Description Dear students, Welcome to this course "Master the Fundamentals of Probability and Statistics"! This course is designed specially for students who are: doing college-level probability and statistics, taking their IGCSE/GCE A level, the IB HL Math examinations or simply anyone who is interested to learn the basics of probability and statistics. At the end of the course, and depending on which exams you are taking, you will learn most/all of the following Permutations and Combinations Classical Probability and Conditional Probability Discrete Random Variables Binomial Distribution, Poisson Distribution, Geometric Distribution and Negative Binomial Distribution Continuous Random Variables Cumulative Density Functions Normal Distributions Sampling, Central Limit Theorem and Estimation Theories Hypothesis Testing Confidence Intervals Correlations and Regression Along the way, there will be quizzes and practice questions for you to get familiarized with the concepts. There may also have bonus lectures which will further enhance your understanding of the topics. If you encounter any problems, please do not hesitate to contact me for more clarifications. I hope that you will find this course useful in your academic and professional pursuit. Enjoy the course! ;-) Dr Ling, PhD Who this course is for GCE/IGCSE 'A' Levels students IB Diploma students Undergraduate students who need a revision of probability and statistics Working professionals who need a revision of probability and statistics for their work Homepage https://www.udemy.com/course/master-the-fundamentals-of-probability-and-statistics/ Download ( Rapidgator ) https://rapidgator.net/file/015a2caad7d33b67147af80102b8a619/meuwd.Master.the.Fundamentals.of.Probability.and.Statistics.part2.rar.html https://rapidgator.net/file/aa55a90d93be9c3db2c820c66904a033/meuwd.Master.the.Fundamentals.of.Probability.and.Statistics.part4.rar.html https://rapidgator.net/file/d193b422c0dd6b1069dafbd8748db25b/meuwd.Master.the.Fundamentals.of.Probability.and.Statistics.part5.rar.html https://rapidgator.net/file/ec68f54d9c8e89bb530bdb2b180b5e97/meuwd.Master.the.Fundamentals.of.Probability.and.Statistics.part3.rar.html https://rapidgator.net/file/f4af26ab8367360a35ee00dca7ede1ac/meuwd.Master.the.Fundamentals.of.Probability.and.Statistics.part1.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/08D73288fd508AE8/meuwd.Master.the.Fundamentals.of.Probability.and.Statistics.part5.rar https://uploadgig.com/file/download/3ff1847A794d62Fd/meuwd.Master.the.Fundamentals.of.Probability.and.Statistics.part4.rar https://uploadgig.com/file/download/936025eA5Ad62d4f/meuwd.Master.the.Fundamentals.of.Probability.and.Statistics.part3.rar https://uploadgig.com/file/download/C14167fF18fc2bb9/meuwd.Master.the.Fundamentals.of.Probability.and.Statistics.part2.rar https://uploadgig.com/file/download/F76dd449cc7278A3/meuwd.Master.the.Fundamentals.of.Probability.and.Statistics.part1.rar Download ( NitroFlare ) https://nitroflare.com/view/0BB65BFFF23DFA6/meuwd.Master.the.Fundamentals.of.Probability.and.Statistics.part2.rar https://nitroflare.com/view/0C5872956450F46/meuwd.Master.the.Fundamentals.of.Probability.and.Statistics.part5.rar https://nitroflare.com/view/3931C5A0366F4B4/meuwd.Master.the.Fundamentals.of.Probability.and.Statistics.part4.rar https://nitroflare.com/view/5FE0304152596B9/meuwd.Master.the.Fundamentals.of.Probability.and.Statistics.part1.rar https://nitroflare.com/view/AEF2145421059AE/meuwd.Master.the.Fundamentals.of.Probability.and.Statistics.part3.rar Links are Interchangeable - No Password - Single Extraction
  22. MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 2.70 GB | Duration: 2h 18m Statistical Analysis using Correlation What you'll learn Correlation Analysis Requirements No Description Correlation is a process of finding out the degree of relationship between two variables. Correlation is a great statistical technique and a very interesting one. The correlation is one of the easiest descriptive statistics to understand and possibly one of the most widely used. The term correlation refers to the measurement of a relationship between two or more variables. A correlational coefficient is used to represent this relationship and is often abbreviated with the letter 'r.' A correlational coefficient typically ranges between -1.0 and +1.0 and provides two important pieces of information regarding the relationship: Intensity and Direction. The value -1 indicates a perfect negative correlation, while a +1 indicates a perfect positive correlation. A correlation of zero means there is no relationship between the two variables. When there is a negative correlation between two variables, as the value of one variable increases, the value of the other variable decreases, and vise versa. In other words, for a negative correlation, the variables work opposite each other.This course will give insights on:Calculation of Coefficient of Correlation using Karl Pearson's method, Spearman's Rank Difference Method & Method of Concurrent Deviations. Here , several important techniques like Direct Method and Assumed Mean Method in Karl Pearson have also been discussed in detail. Correlation in Grouped Series has also been explained in detail. In Spearman's Method both approaches having different ranks and cases having same ranks have been explained along with Method of Concurrent deviations.Overall, the students will have a great learning time and will be studying all the major tools and techniques of Correlation Analysis. Who this course is for Graduation Students, Management Students, MBA, BBA, Commerce students, Data Analytics students Homepage https://www.udemy.com/course/correlation-in-data-analytics-business-statistics Download ( Rapidgator ) https://rapidgator.net/file/bcb4b39662b8971f2439e559613a413d/rfvlg.Correlation.In.Data.Analytics..Business.Statistics.part3.rar.html https://rapidgator.net/file/d302a421e6f80c6463c763f4228ae6aa/rfvlg.Correlation.In.Data.Analytics..Business.Statistics.part2.rar.html https://rapidgator.net/file/e0fe51fc818140c014110ba9af8cba65/rfvlg.Correlation.In.Data.Analytics..Business.Statistics.part1.rar.html Download ( NitroFlare ) https://nitro.download/view/BF3DF64D9A13B16/rfvlg.Correlation.In.Data.Analytics..Business.Statistics.part3.rar https://nitro.download/view/C82CB4A22512CD8/rfvlg.Correlation.In.Data.Analytics..Business.Statistics.part1.rar https://nitro.download/view/F7E7721E63A2208/rfvlg.Correlation.In.Data.Analytics..Business.Statistics.part2.rar [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/6BccE81164f30B41/rfvlg.Correlation.In.Data.Analytics..Business.Statistics.part3.rar https://uploadgig.com/file/download/76016fc5abd4fA2D/rfvlg.Correlation.In.Data.Analytics..Business.Statistics.part2.rar https://uploadgig.com/file/download/83df42a90f2b1d68/rfvlg.Correlation.In.Data.Analytics..Business.Statistics.part1.rar Links are Interchangeable - No Password - Single Extraction
  23. Last updated 6/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 5.15 GB | Duration: 5h 58m An easy-to-understand course covering the fundamentals of statistics and their applications to business What you'll learn The Representation of Data in order to paint a clear picture of what a dataset is telling us (stem-and-leaf diagrams, box-and-whisker plots, histograms and cumulative frequency graphs); Measures of Location in order to estimate the most likely outcome of an experiment (mean, median, mode); Measures of Spread in order to understand how volatile or variable a dataset is (range, quartiles, interquartile range, standard deviation); Sigma Notation and summation Counting Methods: Learn efficient methods for counting the number of arrangements of a set number of objects using permutation and combination functions; Probability: Learn how to determine the likelihood of an event occurring (Venn diagrams, unions, intersections, conditional probabilities, mutually exclusive outcomes, and independent trials); Solving probability problems involving permutations, combinations, and tree diagrams; The Binomial Distribution: theory and application; Discrete Probability Distributions: theory and applications, as well as understanding of expectation, variance, and standard deviation; The Normal Distribution: theory and application; Using the Normal Distribution to Approximate the Binomial Distribution Hypothesis Testing Linear Regression Analysis Requirements Basic algebra and mathematical techniques Description Are you battling to understand statistics? Are you confused by intimidating formulae and jargon? Do you want to know what metrics analyze in your business or in your job, that will allow you to produce insightful reports in order to make better decisions?Well if so, this course is perfect for you. I designed this statistics course combining years of teaching, investment banking, and entrepreneurial experience. The result is an easy-to-understand and real-world applicable course with detailed explanations and worked examples, which will not only help you to understand statistical concepts, but will also help you to see how statistics is applied in real-world business scenarios. This "learn-by-doing" approach, will empower you to master the concepts being taught quickly, via direct application. The video format of the course accelerates learning, and provides an engaging delivery mechanism for the educational content. In addition to this, the practice questions at the end of each learning section, provide students with a large body of practice material to reinforce the learning of the concepts being taught. In this preview course a conceptual overview of statistics is provided, covering representation of data, measures of spread, and measures of location. In the full course a comprehensive list of concepts would be expanded upon to include producing powerful reports, hypothesis testing and regression. Overview Section 1: Data Representation Lecture 1 Introduction Lecture 2 Chapter 1 Part 2 - Stem-and-Leaf Diagram Lecture 3 Chapter 1 Part 3 - Bar charts and histograms Lecture 4 Chapter 1 Part 4 - Cumulative Frequency Curves Section 2: Measures of Location Lecture 5 Chapter 2 Part 1 - Measures of Location Lecture 6 Chapter 2 Part 2 - The Mean and Sigma Notation Lecture 7 Chapter 2 Part 3 - The Mode Section 3: Measures of Spread Lecture 8 Chapter 3 Part 1 - The Range and 5 No. Summary Lecture 9 Chapter 3 Part 2 - Sigma Notation Revisited Lecture 10 Chapter 3 Part 3 - Variance and Std. Deviation Lecture 11 Chapter 3 Part 4 - Variance and Std. Deviation For Frequency Tables Lecture 12 Part 1 Summary Section 4: Probability Lecture 13 Chapter 4 - Part 1 Probability General Terms and Concepts Lecture 14 Chapter 4 - Part 2 Mutually Exclusive Outcomes Lecture 15 Unions and Intersections Lecture 16 Conditional Probability Lecture 17 Tree Diagrams Lecture 18 Independence Section 5: Permutations and Combinations Lecture 19 Permutations Lecture 20 Permutations with Repeated Items Lecture 21 Combinations Lecture 22 Combinations with Repeated Items Lecture 23 Complex Problems Section 6: Discrete Probability Distributions Lecture 24 Discrete Probability Distributions Section 7: The Binomial Distribution Lecture 25 The Binomial Distribution Lecture 26 The Parameters of the Binomial Distribution Lecture 27 The Geometric Distribution Lecture 28 The Mode of the Geometric Distribution Section 8: Expectation and Variance of a Random Variable Lecture 29 Expectation and Variance of a Random Variable Lecture 30 Expectation and Variance of a Binomial Random Variable Lecture 31 Expectation of a Geometrically Distributed Random Variable Section 9: The Normal Distribution Lecture 32 The Normal Distribution Introduction Lecture 33 The Normal Distribution Worked Examples Lecture 34 Standardizing The Normal Distribution Lecture 35 The Normal Approximation to the Binomial Distribution Lecture 36 Normal Approximation to Binomial Worked Examples Business analysts, data analysts and any professional in a research or marketing role, who uses statistics on a daily basis Homepage https://www.udemy.com/course/business_stats/ Download ( Rapidgator ) https://rapidgator.net/file/1b1c9b66187b71a636eea03cd553f5f1/ybdke.Business.Statistics.Made.Easy.part1.rar.html https://rapidgator.net/file/2231a2b7308756f7d25631d67b43a63a/ybdke.Business.Statistics.Made.Easy.part4.rar.html https://rapidgator.net/file/4de838bb81ca16178fc7e51284584150/ybdke.Business.Statistics.Made.Easy.part2.rar.html https://rapidgator.net/file/ec5608eed811f3c2635b158f80d103b2/ybdke.Business.Statistics.Made.Easy.part3.rar.html https://rapidgator.net/file/f075d98577604fb3e9c204ce41983395/ybdke.Business.Statistics.Made.Easy.part5.rar.html https://rapidgator.net/file/f39c99f682bed199ec137217d5c5fe75/ybdke.Business.Statistics.Made.Easy.part6.rar.html Download ( NitroFlare ) https://nitro.download/view/4736CF8A16E712C/ybdke.Business.Statistics.Made.Easy.part1.rar https://nitro.download/view/72AEEB403472385/ybdke.Business.Statistics.Made.Easy.part2.rar https://nitro.download/view/C095E4064D51856/ybdke.Business.Statistics.Made.Easy.part4.rar https://nitro.download/view/C96CC89FD2D378C/ybdke.Business.Statistics.Made.Easy.part3.rar https://nitro.download/view/E9D1DD5CCB59528/ybdke.Business.Statistics.Made.Easy.part6.rar https://nitro.download/view/F33F3C3E36D7567/ybdke.Business.Statistics.Made.Easy.part5.rar [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/14DB06ea3595Ec83/ybdke.Business.Statistics.Made.Easy.part3.rar https://uploadgig.com/file/download/18bfF8d337Bf180f/ybdke.Business.Statistics.Made.Easy.part5.rar https://uploadgig.com/file/download/23f22997d050a2f1/ybdke.Business.Statistics.Made.Easy.part4.rar https://uploadgig.com/file/download/74cE74d8d5456e67/ybdke.Business.Statistics.Made.Easy.part1.rar https://uploadgig.com/file/download/b76a160C2c262Ec5/ybdke.Business.Statistics.Made.Easy.part6.rar https://uploadgig.com/file/download/b878e3316c69a5A4/ybdke.Business.Statistics.Made.Easy.part2.rar Links are Interchangeable - No Password - Single Extraction
  24. Last updated 6/2021 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 5.22 GB | Duration: 6h 1m An easy-to-understand guide to the Cambridge A-level Statistics Course (Paper 5) What you'll learn Data Representation: what a dataset is telling us visually (stem-and-leaf diagrams, box-and-whisker plots, histograms and cumulative frequency graphs); Measures of Location in order to estimate the most likely outcome of an experiment (mean, median, mode); Measures of Spread in order to understand how volatile or variable a dataset is (range, quartiles, interquartile range, standard deviation); Sigma Notation and summation Counting Methods: Learn efficient methods for counting the number of arrangements of a set number of objects using permutation and combination functions; Probability: how to determine the likelihood of events occurring (Venn diagrams, unions, intersections, mutually exclusive outcomes, and independent trials); Solving probability problems involving permutations, combinations, and tree diagrams; The Binomial Distribution: theory and application; Discrete Probability Distributions: theory and applications, as well as understanding of expectation, variance, and standard deviation; The Normal Distribution: theory and application; Using the Normal Distribution to Approximate the Binomial Distribution Requirements GCSE-level algebra and mathematical techniques Description Are you battling to understand statistics? Are you confused by intimidating formulae and jargon? Are you looking for an easy-to-understand, video-based learning platform to help you ace your exams? Well if so, this course is perfect for you. I designed this statistics course combining years of teaching, investment banking, and entrepreneurial experience. The result is an easy-to-understand and real-world applicable course with detailed explanations and worked examples, which will not only help you to understand statistical concepts; but will also help you to see how statistics is applied in real-world business scenarios. This "learn-by-doing" approach, will empower you to master the concepts being taught quickly, via direct application. The video format of the course accelerates learning, and provides an engaging delivery mechanism for the educational content. Many students who learn more effectively using visual aids or animations will find the content and flow of the course absorbing and non-monotonous. For this reason this course provides an invaluable resource for students studying in full-time learning institutions, and also for students studying via distance learning. This course is recommended for students studying for their A-level mathematics qualification through the Cambridge University syllabus. It is however also applicable to almost all of the coursework contained in the Oxford A-level mathematics syllabus as well. Overview Section 1: Data Representation Lecture 1 Introduction Lecture 2 Chapter 1 Part 2 - Stem-and-Leaf Diagram Lecture 3 Chapter 1 Part 3 - Bar charts and histograms Lecture 4 Chapter 1 Part 4 - Cumulative Frequency Curves Section 2: Measures of Location Lecture 5 Chapter 2 Part 1 - Measures of Location Lecture 6 Chapter 2 Part 2 - The Mean and Sigma Notation Lecture 7 Chapter 2 Part 3 - The Mode Section 3: Measures of Spread Lecture 8 Chapter 3 Part 1 - The Range and 5 No. Summary Lecture 9 Chapter 3 Part 2 - Sigma Notation Revisited Lecture 10 Chapter 3 Part 3 - Variance and Std. Deviation Lecture 11 Chapter 3 Part 4 - Variance and Std. Deviation For Frequency Tables Lecture 12 Part 1 Summary Section 4: Probability Lecture 13 Chapter 4 - Part 1 Probability General Terms and Concepts Lecture 14 Chapter 4 - Part 2 Mutually Exclusive Outcomes Lecture 15 Chapter 4 Part 3 - Unions and Intersections Lecture 16 Chapter 4 Part 4 - Conditional Probability Lecture 17 Chapter 4 Part 5 - Tree Diagrams Lecture 18 Chapter 4 Part 6 - Independence Section 5: Permutations and Combinations Lecture 19 Chapter 5 - Part 1 Permutations Lecture 20 Chapter 5 - Part 2 Permutations With Repeated Items Lecture 21 Chapter 5 - Part 3 Combinations Lecture 22 Chapter 5 - Part 4 Combinations With Repeated Items Lecture 23 Chapter 5 - Part 5 Complex Problems Section 6: Discrete Probability Distributions Lecture 24 Chapter 6 - Discrete Probability Distributions Section 7: The Binomial Distribution Lecture 25 Chapter 7 Part 1 - The Binomial Distribution Lecture 26 Chapter 7 Part 2 - The Parameters of the Binomial Distribution Lecture 27 Chapter 7 Part 3 - The Geometric Distribution Lecture 28 Chapter 7 Part 4 - The Mode of the Geometric Distribution Section 8: Expectation and Variance of a Random Variable Lecture 29 Chapter 8 Part 1 - Expectation and Variance of a Random Variable Lecture 30 Chapter 8 Part 2 - Expectation and Variance of a Binomial Random Variable Lecture 31 Chapter 8 Part 3 - Expectation of a Geometrically Distributed Random Variable Lecture 32 Part 2 Summary Section 9: The Normal Distribution Lecture 33 Chapter 9 Part 1 - The Normal Distribution Intro Lecture 34 Chapter 9 Part 2 - The Normal Distribution Worked Examples Lecture 35 Chapter 9 Part 3 - Standardizing The Normal Distribution Lecture 36 Chapter 9 Part 4 - The Normal Approximation to the Binomial Distribution Lecture 37 Chapter 9 Part 5 - Normal Approximation to Binomial Worked Examples Lecture 38 Part 3 Summary A-level students wishing to write the Cambridge paper 5 statistics exam Homepage https://www.udemy.com/course/a-level-statistics-made-easy-full-course/ Download ( Rapidgator ) https://rapidgator.net/file/3355006218b80f54a6eeb4041a4b0c99/iyijz.ALevel.Statistics.Made.Easy.Full.Course.part3.rar.html https://rapidgator.net/file/6471ff610fd82a66a9c91017c48363c0/iyijz.ALevel.Statistics.Made.Easy.Full.Course.part6.rar.html https://rapidgator.net/file/83eb562c0621e9bfafcafdbfcccce2db/iyijz.ALevel.Statistics.Made.Easy.Full.Course.part5.rar.html https://rapidgator.net/file/877ad911d655f4b98af99f8da5847d8f/iyijz.ALevel.Statistics.Made.Easy.Full.Course.part2.rar.html https://rapidgator.net/file/c2f400d1c87a9d943e1f3072c82f1777/iyijz.ALevel.Statistics.Made.Easy.Full.Course.part1.rar.html https://rapidgator.net/file/d25bba8749b95e7da170129cf610994a/iyijz.ALevel.Statistics.Made.Easy.Full.Course.part4.rar.html Download ( NitroFlare ) https://nitro.download/view/309F0EDCEE2E70C/iyijz.ALevel.Statistics.Made.Easy.Full.Course.part6.rar https://nitro.download/view/3200F2A9FF55A77/iyijz.ALevel.Statistics.Made.Easy.Full.Course.part1.rar https://nitro.download/view/6FDDE723657709E/iyijz.ALevel.Statistics.Made.Easy.Full.Course.part5.rar https://nitro.download/view/96162C1D27A66B8/iyijz.ALevel.Statistics.Made.Easy.Full.Course.part2.rar https://nitro.download/view/F13D1FC34C77FDA/iyijz.ALevel.Statistics.Made.Easy.Full.Course.part3.rar https://nitro.download/view/F726857EE5CC0AD/iyijz.ALevel.Statistics.Made.Easy.Full.Course.part4.rar [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/4a0a518559414840/iyijz.ALevel.Statistics.Made.Easy.Full.Course.part6.rar https://uploadgig.com/file/download/86D42fBb42E3b5e9/iyijz.ALevel.Statistics.Made.Easy.Full.Course.part2.rar https://uploadgig.com/file/download/Eed5Cfa4001a4995/iyijz.ALevel.Statistics.Made.Easy.Full.Course.part3.rar https://uploadgig.com/file/download/a839e867Edc1F001/iyijz.ALevel.Statistics.Made.Easy.Full.Course.part5.rar https://uploadgig.com/file/download/b400a47465Be277F/iyijz.ALevel.Statistics.Made.Easy.Full.Course.part1.rar https://uploadgig.com/file/download/c6C4b2F602b3f186/iyijz.ALevel.Statistics.Made.Easy.Full.Course.part4.rar Links are Interchangeable - No Password - Single Extraction
  25. Released 07/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Intermediate | Genre: eLearning | Language: English | Duration: 1h 41m | Size: 620.4 MB Statistics are a core skill for many careers. Basic stats are critical for making decisions, discoveries, investments, and even predictions. But sometimes you need to move beyond the basics. This third course in the Statistics Foundations series gives you practical, example-based lessons on the intermediate skills associated with statistics: Samples and sampling, standard errors, confidence intervals, and hypothesis testing. Eddie Davila takes a look at topics like sampling, random samples, sample sizes, sampling error, trustworthiness, the central unit theorem, confidence intervals, and hypothesis testing. This course is a must for those working in data science, business, and business analytics-or anyone who wants to go beyond means and medians and gain a deeper understanding of how statistics work in the real world. Homepage https://www.linkedin.com/learning/statistics-foundations-using-data-sets Download ( Rapidgator ) https://rapidgator.net/file/b7aed6e88f5aafcc50d35e6b1827631c/aiylv.Statistics.Foundations.Using.Data.Sets.rar.html Download ( NitroFlare ) https://nitro.download/view/2DA6A5D6272ED0E/aiylv.Statistics.Foundations.Using.Data.Sets.rar [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/ebeaC607b66B56c0/aiylv.Statistics.Foundations.Using.Data.Sets.rar Links are Interchangeable - No Password - Single Extraction
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