Data Analytics in Sports Law and Management is a comprehensive exploration of the evolving role of data analytics in the sports industry. Through a series of engaging modules, participants will gain valuable insights into the intersection of sports, law, and data, and how these elements shape crucial decision-making processes within the sports business.
By the end of the course, participants will be equipped with the knowledge and skills to navigate the complex landscape where sports, law, and data intersect, empowering them to make informed decisions and drive innovation within the sports industry.
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This course comprises modules that cover the fundamental principles of applying data analytics to sports law and management, providing insights into player evaluation, team performance, roster management, and athlete representation.
This course introduces the fundamental ideas in applying data analytics to key regulatory and management functions within the sports industry. Participants will gain a comprehensive understanding of the evolving role of data analysis in the sports business, encompassing player productivity, talent identification and development, coaching, sponsorship, and marketing.
Participants will explore specific data techniques used in sports administration for player acquisition, retention, and assessment, as well as the impact of collective bargaining agreements and standard player contracts on management decisions. The course focuses on interpreting outcomes of data analysis within the context of a sports calendar and identifying provisions of the CBA and SPC.
This module delves into the interplay of law, data analysis, and athlete representation, focusing on the regulatory frameworks of federal and state laws and other pertinent rulemaking authorities. Participants will gain insight into the application of data analytical tools and regulations applicable to athlete representation throughout various stages of an athlete’s career.
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