2026 Course Schedule
| Date | Lecture | Lab | Data | Additional Materials |
|---|---|---|---|---|
| Mon, Jun 1 | Simple Linear Regression | Lab 1 | ||
| Tue, Jun 2 | Multivariable Linear Regression | Lab 2 | ||
| Wed, Jun 3 | Logistic Regression | Lab 3 | ||
| Thu, Jun 4 | GLMs and GAMs | Lab 4 | ||
| Fri, Jun 5 | Models Do What They're Told | Lab 5 | — | |
| Mon, Jun 8 | Statistical Inference | Lab 6 | — | |
| Tue, Jun 9 | Causal Inference | Lab 7 | — | |
| Wed, Jun 10 | Large Sample Inference | Lab 8 | — | |
| Thu, Jun 11 | The Bootstrap | Lab 9 | — | |
| Fri, Jun 12 | Sports Betting | Lab 10 | - | — |
| Mon, Jun 15 | Priors as Fake Data | Lab 11 | — | |
| Tue, Jun 16 | Empirical Bayes | Lab 12 | — | |
| Wed, Jun 17 | Shrinkage Estimation | Lab 13 | — | |
| Thu, Jun 18 | Fully Bayesian Models | Lab 14 | — | |
| Fri, Jun 19 (No class) | - | - | - | - |
| Mon, Jun 22 | Regularization and Ridge Regression | Lab 15 | — | |
| Tue, Jun 23 | Tree-Based Models | Lab 16 | — | |
| Wed, Jun 24 | Neural Networks | Lab 17 | — | |
| Thu, Jun 25 | Unsupervised Learning | Lab 18 | — | |
| Fri, Jun 26 | Kernel Methods | Lab 19 | — | |
| Mon, Jun 29 | Making Statistical Claims | Lab 20 | — | |
| Tue, Jun 30 | Game Theory | Lab 21 | - | — |
| Wed, Jul 1 | Time Series | - | - | — |