You are prepared to tackle Bayesian statistics if you are a programmer. This book teaches you how to use discrete probability distributions rather than continuous mathematics to solve statistical problems rather than using mathematical formulas.

The foundations of Bayesian theory will be clearer once the math is out of the way, and you can then start using these methods to solve actual situations.

Although bayesian statistical approaches are widely used and increasingly significant, there aren't many resources available to aid newcomers. The computational methodology of this book, which is based on college courses written by author Allen B. Downey, gives you a strong foundation.

- Use your existing programming skills to learn and understand Bayesian statistics
- Work with problems involving estimation, prediction, decision analysis, evidence, and hypothesis testing
- Get started with simple examples, using coins, dice, a bowl of cookies, M&Ms, Dungeons & Dragons dice, paintball, and hockey
- Learn computational methods for solving real-world problems, such as interpreting SAT scores, simulating kidney tumors, and modeling the human microbiome.