HomeUpcoming webinars
Free to Join

Super Bowl Analytics with polars

Friday, February 6, 11 AM ET

Key Takeaways

  • Learn how to use the polars Python package for efficient data analysis.
  • Solve real-world analytical questions using Super Bowl data like has the NFL evolved into a passing league, do player ratings from organizations like Madden correlate with performance on the field, and do defenses really win championships? 
  • Understand how to apply calculations and basic ML techniques to sports analytics problems and make your own model to predict this year’s super bowl winner.

Your Presenter(s)

Will Bracken headshot

Will Bracken

Data Science Manager at MongoDB

Will runs the data team supporting Sales and Go-To-Market Operations at MongoDB. He has spent a decade as a data scientist, with stints at PwC and AIB. His favorite football team is a closely guarded secret.

Why this matters

The Super Bowl isn’t just a spectacle—it’s also a rich source of data for uncovering patterns, testing hypotheses, and practicing your analytics skills. In this hands-on session, you’ll use the polars Python package to analyze historical Super Bowl data, answering real questions about team performance, scoring trends, and more.

In this code-along, Will Bracken, a Data Science Manager at MongoDB, will guide you through solving data analysis problems using polars, a lightning-fast DataFrame library built for modern analytics. You’ll explore how to manipulate and calculate metrics on large datasets, and even apply simple machine learning models to American football data.

Register for the webinar

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.

Share this webinar

Close your data and AI skills gap

We're the only platform uniquely engineered to advance data and AI skills across your entire organization. Let's explore a tailored program.

Book an Enterprise Demo
Upskilling a small team?Get started today

Recommended Content

Getting Started with Polars GPU Acceleration: 13x Faster Queries

Discover how to use the recently released Polars GPU engine, powered by NVIDIA RAPIDS cuDF, to achieve faster query performance on large datasets.

Blog

Python Polars Tutorial: A Complete Guide for Beginners

Learn how to use Polars in Python in this beginner tutorial.

Tutorial

Grow your data skills with DataCamp for Mobile

Make progress on the go with our mobile courses and daily 5-minute coding challenges.