Brett Bernstein and David Frohardt-Lane
Blended Lecture: Friday, 1:00PM-3:40PM
Professional sports provides the ideal setting for teaching statistics (a perspective shared by the eminent statisticians David Donoho and Andrew Gelman). Students taking this course will learn to build the type of models that have transformed the industry over the past decades. By developing predictive models for sports matches, students will gain a deep intuitive understanding of the statistical tools needed to become successful data scientists.
At its core, this is a course about predicting sports outcomes using statistical models based on historical game data, and information from prediction markets. This will directly prepare students for careers in sports analytics and will be useful for students pursuing careers in quantitative finance and other industries. By studying and building these sports models, students will also learn skills that apply beyond the confines of sports analytics.
Some of the topics we cover may include: