This course provides an introduction to using Python to analyze team performance in sports. Learners will discover a variety of techniques that can be used to represent sports data and how to extract narratives based on these analytical techniques. The main focus of the introduction will be on the use of regression analysis to analyze team and player performance data, using examples drawn from the National Football League (NFL), the National Basketball Association (NBA), the National Hockey League (NHL), the English Premier LEague (EPL, soccer) and the Indian Premier League (IPL, cricket).
- 5 stars63.02%
- 4 stars25.21%
- 3 stars5.88%
- 2 stars2.52%
- 1 star3.36%
來自FOUNDATIONS OF SPORTS ANALYTICS: DATA, REPRESENTATION, AND MODELS IN SPORTS的熱門評論
Best course to interact with data representation programming and libraries, especially for the great sports fan.
Great material and well paced for people working. One instructor is a bit green though.
Great course. Although this course focuses on sports analysis, the analyzing process I learned from it can apply to any other areas of analysis.
An excellent way to get hands-on experience exploring sports data in Python/R