Athletes, lawyers and team executive experts provide insight in how law and regulations intersect with data analytics and sports management techniques for best practices in the sports industry. Several courses provide the basis for how data analytics function within player evaluation, team performance, and roster management. The specialization introduces various regulatory, managerial and legal frameworks that includes athlete representation, facilities, and event management and conclude with various jobs available in sectors of the sports industry.
Data Analytics in Sports Law and Management
State University of New York via Coursera Specialization
Overview
Syllabus
Course 1: Data Analytics in Sports Law and Team Management
- Offered by The State University of New York. This course provides an introduction to the fundamental ideas in applying data analytics to ... Enroll for free.
Course 2: Player Evaluation, Team Performance and Roster Management
- Offered by The State University of New York. This course will provide students with an introduction to using specific data techniques to ... Enroll for free.
Course 3: Analytics, Law, and Athlete Representation
- Offered by The State University of New York. In this course, we will discuss the interplay of law, data analysis, and athlete representation ... Enroll for free.
- Offered by The State University of New York. This course provides an introduction to the fundamental ideas in applying data analytics to ... Enroll for free.
Course 2: Player Evaluation, Team Performance and Roster Management
- Offered by The State University of New York. This course will provide students with an introduction to using specific data techniques to ... Enroll for free.
Course 3: Analytics, Law, and Athlete Representation
- Offered by The State University of New York. In this course, we will discuss the interplay of law, data analysis, and athlete representation ... Enroll for free.
Courses
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This course provides an introduction to the fundamental ideas in applying data analytics to issues surrounding key regulatory and management functions within the sports industry. Sports as an industry is increasingly relying on data analytics for more effective deployment of resources and assessment of performance in areas ranging from player productivity to fan engagement, talent identification and development, coaching, sponsorship, and marketing. This course and its successors will help you understand this new role of data analysis in the sports business.
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This course will provide students with an introduction to using specific data techniques to address key sports administrative functions in team and roster management. The primary focus is on the use of data analysis in player acquisition and retention, as well as player and coach assessment. Students will learn how the collective bargaining agreement (CBA) and standard player contract (SPC) provide the framework for management decisions in which data analysis play a pivotal role. There is a focus on data science techniques as applied to sports datasets. Students will interpret outcomes of data analysis within the context of a sports calendar; identify provisions of the CBA and SPC; and gain an understanding of how the provisions impact decisions on team and roster management.
Taught by
Bruce Pitman, Gerry Meehan and Helen Drew
