Analytics, Law, and Athlete Representation
Explore the intersection of data analytics, legal frameworks, and professional athlete representation in sports management.
Explore the intersection of data analytics, legal frameworks, and professional athlete representation in sports management.
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.
Instructors:
English
Tiếng Việt
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What you'll learn
Understand athlete career development stages
Navigate sports regulatory frameworks
Learn elite athlete representation strategies
Master data-driven decision making in sports
Understand agent selection and responsibilities
Apply analytics to contract negotiations
Skills you'll gain
This course includes:
4.1 Hours PreRecorded video
1 quiz, 2 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course explores the intersection of data analytics, legal frameworks, and athlete representation throughout various stages of an athlete's career. The curriculum covers essential topics including athlete career development, regulatory frameworks, elite athlete management, and professional sports transitions. Students learn about the roles of agents, lawyers, and analytics in sports management, focusing on both amateur and professional athletics. The course combines theoretical knowledge with practical insights from industry professionals.
Athlete Career Stages & Employment Pathways
Module 1 · 2 Hours to complete
Regulatory Framework
Module 2 · 1 Hours to complete
Elite Athletes
Module 3 · 1 Hours to complete
Going Pro
Module 4 · 1 Hours to complete
Agent Selection
Module 5 · 3 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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