New Executive Education Programming Explores Sports Analytics Fundamentals

Carnegie Mellon University’s Tepper School of Business Executive Education and Dietrich College of Humanities and Social Sciences’ Department of Statistics & Data Science have teamed up to offer a new series of programming, Carnegie Mellon Sports Analytics Colloquia: Understanding the Fundamentals of Sports Analytics.

The series will be offered over five sessions and will focus on the fundamental questions in sports, and how data and analytics can be used to help teams, media organizations, and fans answer them.

Courses will focus on topics such as:

Data science workflow in sports analytics.
Randomness and uncertainty in sports.
Team ratings and predicting game outcomes.
Projecting player performance.
Analyzing gameplay with player-tracking data.

“We recognize that advances in technology, the availability of granular data, and wider acceptance of sports analytics have transformed how organizations approach analyzing players, teams, and games,” said Brian Macdonald.

“We aim to inform people how teams, media organizations, and fans can embrace data-driven methods of analysis as a way to confirm beliefs, debunk myths, alter strategies, and raise new questions.”