Data Analytics in Sports Law and Team Management
Master data analytics applications in sports industry management, from player valuation to facility operations. Essential for sports business.
Master data analytics applications in sports industry management, from player valuation to facility operations. Essential for sports business.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Analytics in Sports Law and Management Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Understand the role of data analytics in sports industry management
Master team performance and player valuation metrics
Learn facility and event management optimization
Develop skills in sports agency representation
Apply data-driven decision-making to sports operations
Skills you'll gain
This course includes:
2.9 Hours PreRecorded video
4 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course introduces fundamental concepts in applying data analytics to sports industry management. Students learn about key regulatory and management functions, focusing on three core areas: team management, agency representation, and facility operations. The course covers player valuation, team performance analysis, roster management, and facility operations, integrating data-driven decision-making with traditional sports management practices.
Introduction to Data Analytics in Sports Law & Team Management
Module 1 · 1 Hours to complete
Player Valuation, Team Performance, and Roster Management
Module 2 · 1 Hours to complete
Regulatory, Managerial & Legal Frameworks as they Relate to Player Representation
Module 3 · 1 Hours to complete
Facility & Event Management
Module 4 · 1 Hours to complete
Pulling it All Together: Where are the Jobs and What do they Require?
Module 5 · 2 Hours to complete
Fee Structure
Instructors
Expert in Mathematical Modeling at The State University of New York
Professor Bruce Pitman is a faculty member at The State University of New York, specializing in mathematical modeling, high-performance computing, and uncertainty quantification. He earned his B.S. in Physics and Mathematics from Northwestern University, followed by an M.S. and Ph.D. in Mathematics from Duke University. His extensive research focuses on applying mathematical techniques to solve complex problems across various domains.At SUNY, Professor Pitman teaches courses such as "Analytics, Law, and Athlete Representation" and "Data Analytics in Sports Law and Team Management," where he integrates his expertise in data-driven decision-making with practical applications in sports management. His work emphasizes the importance of quantitative analysis in enhancing team performance and strategic resource allocation.
Expert in Sports Law and Director at the University at Buffalo
Helen A. “Nellie” Drew is a Professor of Practice in Sports Law at The State University of New York and the Director of the Center for the Advancement of Sport at the University at Buffalo. With extensive expertise in various aspects of sports law, her research and teaching cover topics such as NCAA compliance, Title IX issues, drug testing in professional sports, and player contract negotiation and arbitration. Dr. Drew is particularly interested in the evolving research and litigation surrounding concussions in both amateur and professional sports.In addition to her academic roles, Dr. Drew has significant practical experience in the sports industry, having negotiated contracts for notable NHL players and participated in various legal transactions within the league. She teaches several courses on Coursera, including "Analytics, Law, and Athlete Representation" and "Data Analytics in Sports Law and Team Management," where she integrates her legal expertise with data-driven decision-making in sports management.
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4.9 course rating
15 ratings
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