If you know how to program, youre ready to tackle Bayesian statistics. With this book, youll learn how to solve statistical problems with Python code instead of mathematical formulas, using discrete probability distributions rather than continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer and youll begin to apply these techniques to real-world problems. Bayesian statistical methods are becoming more common and more important, but there arent many resources available to help beginners. Based on undergraduate classes taught by author Allen B. Downey, this books computational approach helps you get a solid start. Use your programming skills to learn and understand Bayesian statistics Work with problems involving estimation, prediction, decision analysis, evidence, and Bayesian hypothesis testing Get started with simple examples, using coins, dice, and a bowl of cookies Learn computational methods for solving real-world problems