Superbowl Analysis in Python

The Super Bowl is one of the biggest events in the American sporting calendar. Luckily, US football games generate lots of interesting data that is ideal for analysis. In this live training you'll perform exploratory data analysis in Python on historic Super Bowl data.

Learning by doing is encouraged, and you can follow along using DataCamp Workspace. All you need is a DataCamp account. If you need help, read the Getting Started with Workspace tutorial. Note that members of some enterprise groups do not yet have access to use DataCamp Workspace. Create a free DataCamp account with your personal email address to follow along.

We recommend that you have taken the following course before attending:

• Data Manipulation with pandas

Additional resources

• Related track:

  Data Analyst with Python

• Related cheat sheet:

  Pandas Cheat Sheet for Data Science in Python

• Related blog post:

  Sports Analytics: How Different Sports Use Data Analytics

Key takeaways

• Learn how data is used to analyze football games.

• Learn exploratory data analysis techniques including data manipulation and data visualization.

• Learn to assess team and player performance with data.