Part 2: Intermediate Concepts

In this part, we will introduce you to more math concepts that you are very likely to encounter the longer you work in data science. In contrast to Part 1, each chapter is focused on a standalone data science task, modeling technique, or type of data. By the end of Part 2, you will have gained a solid understanding of time series data, how to run a hypothesis test, model complexity, how to build up a function from a set of simpler parts, and network data.

This section contains the following chapters:

• Chapter 6, Time Series and Forecasting
• Chapter 7, Hypothesis Testing
• Chapter 8, Model Complexity
• Chapter 9, Function Decomposition
• Chapter 10, Network Analysis