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Data Analytics in Sports Law and Management

Bruce Pitman, Helen Drew, and Gerry Meehan

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.

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What's inside

Three courses

Data Analytics in Sports Law and Team Management

(0 hours)

This course introduces the fundamentals of applying data analytics to regulatory and management functions in the sports industry. Data analytics is increasingly used for effective resource deployment and performance assessment in areas such as player productivity, fan engagement, talent identification, coaching, sponsorship, and marketing.

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Player Evaluation, Team Performance and Roster Management

(0 hours)

This course introduces data techniques for sports administrative functions in team and roster management. It focuses on 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 plays a pivotal role.

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Analytics, Law, and Athlete Representation

(0 hours)

In this course, we will explore the interplay of law, data analysis, and athlete representation. We will use the athlete's career path trajectory as the focus. The intent is to introduce data analytical tools, laws, & regulations applicable to athlete representation throughout various stages of an athlete’s career.

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Time

36 hours

Level

Introductory

Via

Coursera

Institution

The State University of New York

Instructors

Bruce Pitman

Helen Drew

Gerry Meehan

Level

Introductory

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