Sports Analytics Courses

Google Analytics 4 Tutorials

314 ratings

Comprehensive guide to Google Analytics 4, covering setup, events, conversions, audiences, integrations, and consent mode. Includes hands-on instructions for website implementation.

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

Google Analytics Certification

109 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

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

204 ratings at Coursera

Explore Python-based sports analytics techniques to analyze team and player performance across major leagues, focusing on regression analysis and data representation methods.

• Coursera
• 2 days 1 hour 24 minutes
• Self-Paced
• Paid Course

Wearable Technologies and Sports Analytics

46 ratings at Coursera

Explore wearable tech in sports, analyzing athlete data for training optimization and injury prevention. Learn physiological principles, device types, and Python programming for sports analytics.

• Coursera
• 1 day 4 hours 9 minutes
• Self-Paced
• Paid Course

Introduction to Machine Learning in Sports Analytics

27 ratings at Coursera

Explore supervised machine learning techniques using Python and real athletic data to predict sports outcomes, applying methods like SVM, decision trees, and ensembles to analyze professional leagues and wearable device data.

• Coursera
• 12 hours 55 minutes
• Self-Paced
• Paid Course

Ken Jee

Sports Analytics

8 ratings

Explore sports analytics through diverse projects, data scraping, and statistical analyses. Learn to predict outcomes, simulate games, and gain insights into various sports using data science techniques.

• 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

USENIX

Bringing IoT to Sports Analytics

Explore IoT applications in sports analytics, focusing on tracking cricket ball trajectories and spin using embedded sensors and radios. Innovative solutions overcome unique challenges in localization and motion tracking.

• YouTube
• 24 minutes
• Self-Paced
• Conference Talk

Data Science and Sports Analytics - Interview with Ken Jee

Explore data science and sports analytics with expert Ken Jee, discussing career transitions, effective communication of insights, and the future of AI in various fields.

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

Data Science Conference

How Deep Learning is Revolutionizing Sports Analytics

Explore how deep learning transforms sports analytics through player tracking, performance analysis, and data-driven decision making to revolutionize team strategies and viewer experiences.

• YouTube
• 42 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

365 Data Science

Customer Analytics

36 ratings

Learn segmentation, targeting, positioning, marketing mix, and price elasticity to enhance your customer analytics skills and drive business growth.

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

Data Analytics at the Exascale for Free Electron Lasers Project

13 ratings

Innovative data system architecture for LCLS-II upgrade, addressing high-throughput challenges with real-time analysis, fast feedback, and data reduction while preserving scientific content.

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

Customer Analytics

18 ratings

Explore key areas of customer analytics: descriptive, predictive, and prescriptive. Learn to collect data, interpret patterns, make predictions, and optimize decisions for effective data-driven marketing strategies.

• Coursera
• 14 hours 18 minutes
• Self-Paced
• Paid Course

NPTEL;  IIT Roorkee

Supply Chain Analytics

27 ratings

Learn to optimize supply chains using analytics, forecasting, inventory management, network design, and decision-making under uncertainty. Gain practical skills for strategic planning and operational efficiency.

• YouTube
• 22 hours
• Self-Paced
• Free Video