Statistical Foundations for ML in R

What you'll be able to do

• Central Limit Theorem
• Law of large numbers
• Univariate Analyses
• Normal Distribution
• Standard Deviation and Error
• Confidence Interval
• Bi-variate analyses
• Statistical Significance Tests

1. 01Course Overview3 lessons · 3 min

   1. Course Overview1:22
   2. How to Get Queries Resolved1:00
   3. Download Resources1:00
2. 02Introduction to Statistical Analyses7 lessons · 13 min

   1. Introduction to Statistical AnalysesPreview1:54
   2. Descriptive vs Prescriptive AnalysisPreview1:29
   3. Types of Statistical AnalysesPreview2:20
   4. Statistical TestingPreview1:30
   5. Panel Data and Types2:41
   6. Cross Sectional and Pooled Cross Sectional1:06
   7. Types of Variables2:05
3. 03Fundamental Statistical Concepts14 lessons · 1 h 9 min

   1. Measures of Central Tendency and Dispersion11:06
   2. Demo - Measures of Central Tendency Dispersion1:38
   3. Law of Large Numbers1:53
   4. Gamblers Fallacy2:57
   5. Normal Distribution3:52
   6. Standard Normal Distribution4:19
   7. Central Limit Theorem4:16
   8. Demo - Central Limit Theorem4:16
   9. Standard Error5:32
   10. Confidence Intervals Formula2:00
   11. Confidence Intervals with Bootstrapping5:35
   12. Correlation13:10
   13. Demo - Correlation Test7:43
   14. Course Review1:00
4. 04Statistical T-tests12 lessons · 1 h 9 min

   1. Introduction to T-Tests7:37
   2. One Sample T-Test8:09
   3. One Sample T-Test - R Demo6:03
   4. One Sample T-Test - Hand Computation7:56
   5. What is Two Sample Paired T-Test1:53
   6. Two Sample Dependent T test - Examples of when to use5:03
   7. Two Sample Dependent T test - Hand Computation9:33
   8. Two Sample Dependent T test - R Demo8:26
   9. What is Independent Two Sample T-test1:46
   10. Independent Two Sample T test - Examples of when to use2:12
   11. Independent Two Sample T test - Hand Computation7:40
   12. Independent Two Sample T test - R Demo3:08
5. 05Chi-Squared Test5 lessons · 20 min

   1. What is Chi-Squared Test2:55
   2. Chi-Squared Test - Examples of When to Use2:04
   3. Chi Square Test - Hand Computation10:13
   4. Chi-Squared Test - R Demo3:21
   5. Course Review1:00
6. 06ANOVA5 lessons · 27 min

   1. What is ANOVA3:49
   2. When to Use ANOVA4:14
   3. ANOVA Terminologies3:39
   4. ANOVA - Hand Computation11:44
   5. ANOVA - R Demo3:21

What you need

• Basics of R Programming
• High School Maths

Who this course is for

• Data Science Aspirants
• Data Science Professionals
• Software/Data engineers interested in quantitative analysis
• Professionals working with large datasets
• Data analysts, economists, researchers

Your instructor

Prabhakaran S

Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this course!

I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I've deployed 20+ global products. I'm also the Founder and Chief Author of Machine Learning Plus, which has over 4M annual readers.

I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I've put up the series of courses and projects with detailed explanations, just like on-the-job experience. Hope you love it!

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