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Sports analytics has emerged as a field of research with increasing popularity propelled, in part, by the real-world success illustrated by the best-selling book and motion picture, Moneyball. Analysis of team and player performance data has continued to revolutionize the sports industry on the field, court, and ice as well as in living rooms among fantasy sports players and online sports gambling. Drawing from real data sets in Major League Baseball (MLB), the National Basketball Association (NBA), the National Hockey...
Course 1: Foundations of Sports Analytics: Data, Representation, and Models in Sports- Offered by University of Michigan. This course provides an introduction to using Python to analyze team performance in sports. Learners will ... Enroll for free.Course 2: Moneyball and Beyond- Offered by University of Michigan. The book Moneyball triggered a revolution in the analysis of performance statistics in professional ... Enroll for free.Course 3: Prediction Models with Sports Data- Offered by University of Michigan. In this course the learner will be shown how to generate forecasts of game results in professional sports ... Enroll for free.Course 4: Wearable Technologies and Sports Analytics- Offered by University of Michigan. Sports analytics now include massive datasets from athletes and teams that quantify both training and ... Enroll for free.Course 5: Introduction to Machine Learning in Sports Analytics- Offered by University of Michigan. In this course students will explore supervised machine learning techniques using the python scikit learn ... Enroll for free.
University of Michigan via Coursera Specialization
6 hours
Certificate Available
English
Intermediate
Stefan Szymanski
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