If you know how to program with Python & also know a little about probability you're ready to tackle Bayesian statistics With this book you'll learn how to solve statistical problems with Python code instead of mathematical notation & use discrete probability distributions instead of continuous mathematics Once you get the math out of the way the Bayesian fundamentals will become clearer & you'll begin to apply these techniques to real-world problems Bayesian statistical methods are becoming more common & more important but not many resources are available to help beginners Based on undergraduate classes taught by author Allen Downey this book's computational approach helps you get a solid start Use your existing programming skills to learn & understand Bayesian statistics Work with problems involving estimation prediction decision analysis evidence & hypothesis testing Get started with simple examples using coins M& Ms Dungeons & Dragons dice paintball & hockey Learn computational methods for solving real-world problems such as interpreting SAT scores simulating kidney tumors & modeling the human microbiome