Think Stats

If you know how to program, you have the skills to turn data into knowledge

using the tools of probability and statistics. This concise introduction shows

you how to perform statistical analysis computationally, rather than

mathematically, with programs written in Python.

You'll work with a case study throughout the book to help you learn the entire

data analysis process—from collecting data and generating statistics to

identifying patterns and testing hypotheses. Along the way, you'll become

familiar with distributions, the rules of probability, visualization, and many

other tools and concepts.

Develop your understanding of probability and statistics by writing and

testing code

Run experiments to test statistical behavior, such as generating samples from

several distributions

Use simulations to understand concepts that are hard to grasp mathematically

Learn topics not usually covered in an introductory course, such as Bayesian

estimation

Import data from almost any source using Python, rather than be limited to

data that has been cleaned and formatted for statistics tools

Use statistical inference to answer questions about real-world data