The University of Texas at Austin 3 credits Statistics and Data Sciences
Explore fundamental principles and methods of sports analytics. Participate in practical experience in collecting and analyzing sports data. Discuss data collection, metric estimation and evaluation, predictive modeling, match-up models, game simulation, and in-game decision making. Statistics and Data Sciences 365 (Topic 1) and 375 (Topic: Sports Analytics) may not both be counted. Pre/Corequisites: Statistics and Data Sciences 320E and 322E with grades of at least C-; or Statistics and Data Sciences 313 and 315 with grades of at least C-.
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