These materials are for the free Probability and Statistics short course taught at Galvanize Seattle. This course is intended to discuss material that Galvanize data science instructors believe is foundational for successful students in the data science immersive program.
You should bring the following materials:
- Notebook
- Pencils and/or Pens
We will be pausing often to allow people to work through problems, and then discussing them as a class. It is important that you attempt these problems, as this will give you a good foundation of practice when you move on to practicing on your own.
The first day and a half of the course follows the stats-workshop.pdf. We will cover the following topics.
- Introduction
- Counting and Combinatorics
- Basics of Probability
- Conditional Probability
- Independence
- Bayes's Formula
- Random Variables
- Common and Useful Distributions
On the second half of the second day we will cover the material in the linear-and-logistic-regression.ipynb jupyter notebook. Here we will give a quick overview of linear and logistic regression and some associated topics.