Player Evaluation, Team Performance and Roster Management
Learn data-driven techniques for sports team management, from player evaluation to roster building and performance analysis.
Learn data-driven techniques for sports team management, from player evaluation to roster building and performance analysis.
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
Analyze player performance using data techniques
Manage team rosters effectively
Apply CBA and SPC frameworks to decisions
Evaluate talent using statistical methods
Optimize team performance through data
Skills you'll gain
This course includes:
5.2 Hours PreRecorded video
2 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course focuses on applying data analytics techniques to sports team management. Students learn to use specific data analysis methods for player acquisition, retention, and assessment within the framework of collective bargaining agreements and standard player contracts. The curriculum covers the full sports calendar year, including training camp, scouting, draft preparation, and offseason management, with practical applications using RStudio for data analysis.
Management's Critical Dates 12-month Calendar Overview & Downloading RStudio
Module 1 · 2 Hours to complete
Training Camp and Roster Building
Module 2 · 4 Hours to complete
Scouting, Roster Evaluation and Preparing for the Trade Deadline
Module 3 · 3 Hours to complete
The Entry Draft, Free Agency & Assessing the Future
Module 4 · 2 Hours to complete
The Offseason
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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