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Superbowl Analysis in Python

Learn to do exploratory data analysis in Python on historic Super Bowl data.
Eric Eager
Richard Erickson
Eric Eager, Richard Erickson

अपना निःशुल्क खाता बनाएँ

अभ्यास और ट्रैक अपनी प्रगति को।

Google के साथ जारी रखेंजारी रखकर, आप हमारी उपयोग की शर्तें, हमारी गोपनीयता नीति को स्वीकार करते हैं और यह भी कि आपका डेटा USA में संग्रहीत है।

हमारे साथ कोड-अलॉन्ग करें

कोड-अलॉन्ग ↗

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:

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.

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संबंधित

कोड-अलॉंग

Exploratory Data Analysis in Python for Beginners