Statistics Fundamentals
2h 4m 10s
English
Paid
Course description
Master statistics for data-driven careers. Build a strong statistical foundation for data science, analysis, and decision making. Succeed in interviews and apply your knowledge to real-world problems.
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/ #1: Introduction
All Course Lessons (12)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Introduction Demo | 04:00 | |
| 2 | 1. Random Variables | 06:26 | |
| 3 | 2. Mean, Variance, Standard Deviation | 02:53 | |
| 4 | 3. Covariance & Correlation | 05:17 | |
| 5 | 4. Probability Distribution Functions | 12:42 | |
| 6 | 5. Conditional Probability & Bayes Theorem | 09:09 | |
| 7 | 6. Introduction to Causal Analysis & Linear Regression | 14:51 | |
| 8 | 7. Hypothesis Testing & Statistical Significance | 10:38 | |
| 9 | 8. P-Values, Type I & Type II Errors, Confidence Intervals | 18:53 | |
| 10 | 9. Statistical Tests (Part 1) | 17:36 | |
| 11 | 10. Statistical Tests (Part 2) | 13:59 | |
| 12 | 11. Inferential Statistics (CLT & LLN) | 07:46 |
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Read Book Statistics Fundamentals
| # | Title |
|---|---|
| 1 | Fundamentals of Statistics |
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