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コードアロング ↗Superbowl Analysis in Python
Learn to do exploratory data analysis in Python on historic Super Bowl data.
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Eric Eager, Richard Erickson
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Exploratory Data Analysis in Python for Beginners
In this code-along, you will be introduced to the basics of exploring new datasets. Using data on UK Premiership soccer results, you will use Python to calculate summary statistics and draw visualizations to generate insights.
George Cunningham
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 DataLab. All you need is a DataCamp account. Note that members of some enterprise groups do not yet have access to use DataLab. 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
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.