Sports Analytics

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Math behind Moneyball (Coursera) Coursera
University of Houston System

Math behind Moneyball (Coursera)

Dive into the world of sports analytics with 'Math Behind Moneyball', a comprehensive course that reveals how mathematical principles can transform the way teams select players, strategize games, and achieve success. Whether you're a fan of baseball, football, or basketball, this course will equip you with the tools to understand and apply statistical analysis in sports management.

Jun 22nd 2026
5-12 Weeks
Foundations of Sports Analytics: Data, Representation, and Models in Sports (Coursera) Coursera
University of Michigan

Foundations of Sports Analytics: Data, Representation, and Models in Sports (Coursera)

Dive into the world of sports analytics with our beginner-friendly course. Using Python, explore how to represent and analyze sports data, focusing on regression analysis for team and player performance across major leagues like NFL, NBA, NHL, EPL, and IPL. Gain valuable skills in extracting meaningful insights from sports data.

Jun 22nd 2026
5-12 Weeks
Wearable Technologies and Sports Analytics (Coursera) Coursera
University of Michigan

Wearable Technologies and Sports Analytics (Coursera)

Dive into the world of Wearable Technologies and Sports Analytics to understand how modern gadgets are transforming athletic performance analysis. This course explores the use of wearable technology in capturing detailed data about athletes' stress, recovery, and overall performance throughout entire seasons. Discover how these insights can lead to new strategies for injury prevention and optimizing training routines.

Jun 22nd 2026
5-12 Weeks
Introduction to Machine Learning in Sports Analytics (Coursera) Coursera
University of Michigan

Introduction to Machine Learning in Sports Analytics (Coursera)

Dive deep into the world of sports analytics with our Introduction to Machine Learning in Sports Analytics course. Gain expertise in applying machine learning techniques using Python's scikit-learn toolkit on real-world athletic datasets. Explore various algorithms and learn how to predict outcomes in professional sports, enhancing your understanding and skills in data analysis.

Jun 15th 2026
4 Weeks
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