Introduction
1. Random Variables
2. Mean, Variance, Standard Deviation
3. Covariance & Correlation
4. Probability Distribution Functions
5. Conditional Probability & Bayes Theorem
6. Introduction to Causal Analysis & Linear Regression
7. Hypothesis Testing & Statistical Significance
8. P-Values, Type I & Type II Errors, Confidence Intervals
9. Statistical Tests (Part 1)
10. Statistical Tests (Part 2)
11. Inferential Statistics (CLT & LLN)