01. Course introduction: Review of key distributions and matrix algebra
02. Linear regression 1
03. Linear regression 2
04. Linear regression 3
05. Mixed effect model
06. Shrinkage/Penalized methods
07. GLM Introduction
08. GLM Estimation and Midterm
09. GLM Inference
10. Logistic regression
11. Logistic regression
12. Multinomial regression
13. Poisson regression
14. Graphical Model and Causal Inference
15. Final project presentation