Sports Analytics

Catalog description

Statistical reasoning in sports. Quantitative methods for analyzing observational data collected in professional and amateur sports. Probability concepts, such as joint probability, conditional probability, and Bayes Theorem to model uncertainty in sports. Quantifying variation in estimation for comparative purposes including resampling techniques; statistical significance. Linear and generalized linear regression models. Focus on baseball, basketball, North American football, hockey. Other areas of application include tennis, soccer, and golf.