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 stars63.77%
- 4 stars25.19%
- 3 stars5.51%
- 2 stars2.36%
- 1 star3.14%
来自FOUNDATIONS OF SPORTS ANALYTICS: DATA, REPRESENTATION, AND MODELS IN SPORTS的热门评论
An excellent way to get hands-on experience exploring sports data in Python/R
Best course to interact with data representation programming and libraries, especially for the great sports fan.
Excellent course on how data analytics can be used in the world of sports.
Great course. Although this course focuses on sports analysis, the analyzing process I learned from it can apply to any other areas of analysis.