After going through some of the simpler concepts of statistics and probability in the previous chapter, we're now going to turn our attention to some more advanced topics that you'll need to be familiar with to get the most out of the remainder of this book. Don't worry, they're not too complicated. First of all, let's have some fun and look at some of the amazing graphing capabilities of the matplotlib library.

We'll be covering the following topics in this chapter:

• Using the matplotlib package to plot graphs
• Understanding covariance and correlation to determine the relationship between data
• Understanding conditional probability with examples
• Understanding Bayes' theorem and its importance