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).Lee mas.
Este recurso es ofrecido por un socio afiliado. Si paga por la capacitación, podemos ganar una comisión para respaldar este sitio.
Las técnicas y herramientas cubiertas en Foundations of Sports Analytics: Data, Representation, and Models in Sports son muy similares a los requisitos que se encuentran en los anuncios de trabajo de Analista de negocios.
Foundations of Sports Analytics: Data, Representation, and Models in Sports is a part of uno structured learning path.
5 Courses
7 Months
Sports Performance Analytics
