The philosophy behind a quick-start guide is that the topic at hand is best learned by doing. In this chapter, I will present a quick overview of important vocabulary, concepts, and terminology that you need to get started, and then jump directly into a full end-to-end working example of data mining in Python. Later chapters will flesh out the steps in the working example in more detail.
The following topics will be covered in this chapter:
- Basic data terminology
- Basic statistics
- An end-to-end example of data mining in Python
