This chapter will teach you the fundamentals of data analysis, give you a foundation in statistics, and get your environment set up for working with data in Python and using Jupyter Notebooks.
The first half of the chapter will be an overview of the data analysis and statistics concepts necessary to work through the book; feel free to follow along in the introduction_to_data_analysis.ipynb Jupyter Notebook.
Afterward, we will walk through setting up a virtual environment for working through the book. In order to validate the setup, we will use the checking_your_setup.ipynb Jupyter Notebook. Under the hood, this uses the check_environment.py module.
The end-of-chapter exercises will use the exercises.ipynb Jupyter Notebook; solutions to these exercises can be found in the repository's solutions/ch_01/ directory.
Tip: Use the python_101.ipynb Jupyter Notebook for a Python crash-course/refresher, if needed.