1. Bayesian Inference 2. Exploratory Analysis of Bayesian Models 3. Linear Models and Probabilistic Programming Languages 4. Extending Linear Models 5. Splines 6. Time Series 7. Bayesian Additive Regression Trees 8. Approximate Bayesian Computation 9. End to End Bayesian Workflows 10. Probabilistic Programming Languages 11. Appendiceal Topics