*Think Bayes*. It includes some of the examples and exercises in the book. Participants will work on examples during the workshop, so it should be engaging and reasonably fun. This is the third time I have done the tutorial at PyCon.

You can get more information about my tutorial (and the other tutorials at PyCon).

And here is the description:

#### Thursday 10 April 1:20 p.m.–4:40 p.m.

## Bayesian statistics made simple

#### Allen Downey

- Intermediate
- Science

### Description

An introduction to Bayesian statistics using Python. Bayesian statistics are usually presented mathematically, but many of the ideas are easier to understand computationally. People who know Python can get started quickly and use Bayesian analysis to solve real problems. This tutorial is based on material and case studies from Think Bayes (O’Reilly Media).

### Abstract

Bayesian statistical methods are becoming more common and more important, but there are not many resources to help beginners get started. People who know Python can use their programming skills to get a head start.

I will present simple programs that demonstrate the concepts of Bayesian statistics, and apply them to a range of example problems. Participants will work hands-on with example code and practice on example problems.

Students should have at least basic level Python and basic statistics. If you learned about Bayes’s theorem and probability distributions at some time, that’s enough, even if you don’t remember it!

Students should bring a laptop with Python 2.x and matplotlib. You can work in any environment; you just need to be able to download a Python program and run it.

May I suggest writing the date of the presentation in your post ;)

ReplyDeleteDone. Thanks!

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