If you know how to program you're ready to tackle Bayesian statistics. With this book you'll
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 you'll begin to apply
these techniques to real-world problems. Bayesian statistical methods are becoming more common
and more important but there aren't many resources available to help beginners. Based on
undergraduate classes taught by author Allen B. Downey this book's 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
