Carnegie Mellon Sports Analytics Colloquia5/7/2021 @ 10:00 AM - 12:00 AM - 5/21/2021 Tepper School of Business, 5000 Forbes Ave, Pittsburgh, PA 15213
The Carnegie Mellon Sports Analytics Colloquia program is led by Brian Macdonald, Special Faculty in Sports Analytics in the Department of Statistics and Data Science at the Dietrich College of Humanities and Social Sciences, and former Director of Sports Analytics in the Statistics and Information Group at ESPN. Advances in technology, the availability of accurate, granular data, and wider acceptance of sports analytics has transformed how we approach analyzing players, teams, and games. Teams, media organizations, and fans have embraced data-driven methods of analysis as a way to confirm beliefs, debunk myths, alter strategies, and raise new questions. The legalization of sports betting has further increased the popularity of sports analytics and has even led to improvements to data integrity. In this series of workshops, we discuss fundamental questions in sports, and how data and analytics can be used to help teams, media organizations, and fans answer them. Coding experience is not required. Resources, including example code and data sets, will be provided. Each workshop session features special guest speakers from ESPN, the National Football League (NFL), the National Hockey League (NHL), The New York Times, and others. This program is presented by the Department of Statistics and Data Science at the Dietrich College of Humanities and Social Sciences and Executive Education at the Tepper School of Business, and is part of the Carnegie Mellon Sports Analytics initiative.