1. Probability and Random Variables 2. Probability Distributions and Likelihood Functions 3. Conditional Probability 4. Bayes Rule and the Foundation of Bayesian Statistics 5. The Building Blocks of Bayesian Models 6. Single Parameter Models 7. Two-Parameter Models 8. Gibbs Sampling 9. Bayesian Linear Regression 10. Bayesian Bernoulli Regression 11. Univariate Normal Mixture Models 12. Bayes Beyond This Book