Sports Analytics Courses

Nutrition, Exercise and Sports

1272 ratings

Learn about Nutrition, Exercise and Sports and understand how nutrition can support exercise and sports performance.

• edX
• 6 weeks, 4-8 hours a week
• Self-Paced
• Free Online Course (Audit)

• Best of All Time

Google Analytics 4 Tutorials

324 ratings

Follow code and configuration instructions to set up event-based Google Analytics 4 measurement for websites and apps.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Google Analytics Certification

121 ratings

Certified users will demonstrate an understanding of Google Analytics, including how to set up and structure a property, and use various reporting tools and features.

• Skillshop
• 5-6 hours
• Self-Paced
• Free Certificate

The Analytics Edge

80 ratings

Through inspiring examples and stories, discover the power of data and use analytics to provide an edge to your career and your life.

• edX
• 13 weeks, 10-15 hours a week
• Self-Paced
• Free Certificate

• Best of All Time

Foundations of Sports Analytics: Data, Representation, and Models in Sports

209 ratings at Coursera

Analyze team and player performance in Python: compute Pythagorean expectation, build heatmaps and plots, fit regression models, and test the hot hand with NBA shot logs.

• Coursera
• 6 weeks, 8 hours a week
• Self-Paced
• Paid Course

Wearable Technologies and Sports Analytics

47 ratings at Coursera

Explore how athletes' wearable sensors quantify training: internal versus external load, acute-to-chronic workload, and global metrics, using Python on sport team datasets.

• Coursera
• 5 weeks, 6 hours a week
• Self-Paced
• Paid Course

Introduction to Machine Learning in Sports Analytics

28 ratings at Coursera

Apply supervised learning methods — SVMs, decision trees, random forests, ensembles — with Python's scikit-learn to predict athletic outcomes from NHL, MLB, and wearable device data.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Introduction to Transforming with Data Analytics and the Digital Organization

68 ratings

Learn how data analytics powers the digital organization and gives it a competitive edge.

• edX
• 4 weeks, 2-3 hours a week
• Self-Paced
• Free Online Course (Audit)

Ken Jee

Sports Analytics

8 ratings

Explore how data science answers questions in basketball, golf, baseball, and sports betting through scraping, simulation, prediction, and statistical analysis.

• YouTube
• 4 hours 30 minutes
• Self-Paced
• Free Video

Wrath of Math

Pythagorean Expectation in Sports Analytics - Using Math to Predict NFL Success

1 rating

Explore how Pythagorean expectation in sports analytics predicts NFL team performance, focusing on its application to the Kansas City Chiefs' 2024 Super Bowl prospects.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

Data Science Festival

Mastering Synthetic Data Generation in Sports Analytics

Explore synthetic data generation techniques to overcome data scarcity in sports analytics, from basic augmentation to advanced models with real-world StatSports examples.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

Data Science and Sports Analytics - Interview with Ken Jee

Explore Ken Jee’s journey from sports to data science, with perspectives on sports analytics, coding, Kaggle, analytical tools, statistical communication, and career development.

• freeCodeCamp
• 2 hours 6 minutes
• Self-Paced
• Free Video

365 Data Science

Customer Analytics

36 ratings

Learn customer analytics through segmentation, targeting, positioning, marketing mix, and price elasticity.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Data Analytics at the Exascale for Free Electron Lasers Project

14 ratings

An overview of how the LCLS-II data system reduces and analyzes free-electron-laser data in real time at exascale throughput.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Customer Analytics

18 ratings

Explore descriptive, predictive, and prescriptive customer analytics: data collection methods, regression-based prediction, optimization for pricing and revenue, and case studies from Amazon, Google, and Starbucks.

• Coursera
• 5 weeks, 3 hours a week
• Self-Paced
• Paid Course