Sport Analytics
Sport Analytics
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SAL 601 - Introduction to Sport Analytics and Visualization Sport Analytics
3 credit(s) Even Academic Yr e.g. 2004-5
This course covers a basic statistics review, visualization techniques in Tableau, a discussion of the Moneyball hypothesis, and an overview of the current state of player/team analytics in different sports.
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SAL 602 - Introduction to R for Sport Analytics Sport Analytics
3 credit(s) Even Academic Yr e.g. 2004-5
This course serves as an introduction to R and covers basic coding, data frames, data cleaning and editing, visualization techniques, and basic modeling of data in R. These techniques are taught using sports data.
PREREQ SAL 601
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SAL 603 - Introduction to Databases and Python for Sport Analytics Sport Analytics
3 credit(s) Even Academic Yr e.g. 2004-5
This course serves as an introduction to Python. Sports data are used in conjunction with NumPy, Pandas, management, cleaning, wrangling, and aggregation. Key strategies of effective use of Python for sports data are discussed.
PREREQ SAL 602
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SAL 604 - Linear Regression and Econometrics for Sport Analytics Sport Analytics
3 credit(s) Even Academic Yr e.g. 2004-5
The course covers linear regression, modeling techniques, interpretation of regression results, diagnostic tests and corrections for econometric issues, logistic regression, and key sport economic insights.
PREREQ SAL 603
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SAL 605 - R for Sport Analytics II Sport Analytics
3 credit(s) At least 1x fall or spring
Continued training in coding, webscraping, creating interactive graphics, using dashboards, and combining databases and SQL with R for Sport Analytics. Techniques used include nearest neighbors, classification, trees, and cluster analysis.
PREREQ SAL 604
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SAL 606 - Applications of Machine Learning for Sport Analytics using Python Sport Analytics
3 credit(s) At least 1x fall or spring
Applications of machine learning for sport analytics using Python. Topics include supervised vs. unsupervised models, clustering, Bayesian networks, component analysis, and neural networks using sports data.
PREREQ SAL 605
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SAL 607 - Econometrics for Sport Analytics II Sport Analytics
3 credit(s) At least 1x fall or spring
Continued application of econometrics in Sport Analytics, including additional tests for violations of assumptions of CLRM. Other topics include nonlinear regression, qualitative response models, panel data, and simultaneous equation models and methods.
PREREQ SAL 606
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SAL 608 - Applications of Machine Learning for Sport Analytics Using R Sport Analytics
3 credit(s) At least 1x fall or spring
Applications of Machine Learning for Sport Analytics Using R. Elements of both supervised and unsupervised learning. Key topics include classifier models (KNN, Naïve Bayes), decision trees, clustering, cross validation, bagging, and neural networks.
PREREQ SAL 607
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SAL 611 - Sport Law and Analytics Sport Analytics
3 credit(s) At least 1x fall or spring
Legal issues facing the sports industry related to contracts, antitrust, arbitration, etc., and the various dilemmas they create are explored. Students will research and use analytics, offer analysis, and discuss possible resolutions to specific dilemmas.
PREREQ SAL 603
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SAL 612 - Baseball’s Collective Bargaining Agreement Analytics Applications Sport Analytics
3 credit(s) At least 1x fall or spring
The sport of baseball and its Collective Bargaining Agreement (CBA), which describes the rules and regulations governing both the business behind and playing of the sport, are explored with analytics applications related to key concepts.
PREREQ SAL 611
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SAL 613 - Football Analytics Applications Sport Analytics
3 credit(s) At least 1x fall or spring
The sport of football and its Collective Bargaining Agreement (CBA), which describes the rules and regulations governing both the business behind and playing of the sport, are explored with analytics applications related to key concepts.
PREREQ SAL 611
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SAL 614 - Basketball and Analytics Applications Sport Analytics
3 credit(s) At least 1x fall or spring
The sport of basketball and its Collective Bargaining Agreement (CBA), which describes the rules and regulations governing both the business behind and playing of the sport, are explored with analytics applications related to key concepts.
PREREQ SAL 611
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SAL 615 - Hockey and Analytics Applications Sport Analytics
3 credit(s) At least 1x fall or spring
The sport of hockey and its Collective Bargaining Agreement (CBA), which describes the rules and regulations governing both the business behind and playing of the sport, are explored with analytics applications related to key concepts.
PREREQ SAL 611
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SAL 621 - Sport Gambling and Analytics Sport Analytics
3 credit(s) At least 1x fall or spring
The theory and practice of the sports betting and daily fantasy marketplace are studied. Topics include market efficiency, risk assessment, line movements, portfolio analysis, and momentum trading. Analytical applications are presented and explored throughout.
PREREQ SAL 611
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