Discover your field where sports, law, and data meet. Learn skills and techniques to improve team performance.
Suggested by: Coursera (What is Coursera?)
No prior knowledge required
No unnecessary risks
Athletes, lawyers, and team coordinators provide insights into how law and regulations connect with data analysis and sports management techniques.
Learners complete basic analyses in R Studio to assess the role of analytics in the sports industry. Learners perform data analysis and act as team and player representatives, reflecting on their skills and creating a roadmap for a career in sports.
This course provides an introduction to the fundamental concepts of using data analytics to address issues related to key regulatory and management functions in the sports industry. The industry is increasingly relying on data analytics to use resources more effectively and evaluate performance in areas such as player productivity, fan engagement, talent identification and development, coaching, sponsorship, and marketing.
Time: 9 hours
Rating: 4.9 (17 reviews)
This course will provide students with an introduction to the use of specific data techniques, with an emphasis on the use of data analytics in player acquisition and retention, as well as player and coach evaluation.
Time: 15 hours
This course will discuss the interaction between law, data analysis, and athlete representation, using athlete career paths as a focus. The goal is to introduce data analysis tools, laws, and regulations that apply to athlete representation during different stages of their careers.
Time: 10 hours
This course focuses on the operation of multi-purpose public facilities such as Madison Square Garden (New York) and GIANTS Stadium (Sydney). The management area includes topics such as contracts, sponsorships, insurance, public relations, broadcasting, communicating with fans and more.
Time: 6 hours
