Player Evaluation, Team Performance and Roster Management
About this Course
This course will provide students with an introduction to using specific data techniques to address key sports administrative functions in team and roster management. The primary focus is on the use of 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 play a pivotal role. There is a focus on data science techniques as applied to sports datasets. Students will interpret outcomes of data analysis within the context of a sports calendar; identify provisions of the CBA and SPC; and gain an understanding of how the provisions impact decisions on team and roster management.Created by: The State University of New York
Related Online Courses
This 1.5 hours project-based course is the first part of \"Manage Your Versions with Git\". In this course, you will learn about the ubiquitous Git version management system. Git is an industry... more
The learning path offers a series of courses designed for App Developers, Machine Learning Engineers, and Data Scientists. These courses delve into advanced topics such as diffusion models for... more
This is a master class in Customer Centricity. Professor Jagdish Sheth, 2020 Padma Bhushan Award winner for Literature and Education, guides you through proven strategies and practical steps for... more
Sponsored by AMAZON WEB SERVICES (AWS). Learn real-world software engineering management skills to succeed and impress in your first (or next) management role at elite engineering organizations.... more
This is a self-paced lab that takes place in the Google Cloud console. This lab focuses on how to reverse-engineer the relationships between data tables and the pitfalls to avoid when joining them... more
Powered by
