Introduction and course overview
Understanding data and means
Understanding Causal inference and random assignment
Understanding Surveys and random sampling, introduction to descriptive statistics
Intorduction to linear regression
Introduction to binary dependent variables and confounders
Introduction to multiple linear regression and validity
Introduction to probability theory
Hypothesis testing and statistical significance
Assumptions of linear regression
Wrapping up/exam prep
