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Find Your Niche Where Sports, Law & Data Intersect. Master skills & techniques to drive team performance.
Instructors: Gerry Meehan
Included with
(18 reviews)
Recommended experience
Beginner level
An interest in the sports industry and willingness to learn introductory high-level programming.
(18 reviews)
Recommended experience
Beginner level
An interest in the sports industry and willingness to learn introductory high-level programming.
In this series, you will learn how to use data to make managerial decisions in the sports industry.
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September 2024
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Athletes, lawyers and team executive experts provide insight in how law and regulations intersect with data analytics and sports management techniques for best practices in the sports industry. Several courses provide the basis for how data analytics function within player evaluation, team performance, and roster management. The specialization introduces various regulatory, managerial and legal frameworks that includes athlete representation, facilities, and event management and conclude with various jobs available in sectors of the sports industry.
Applied Learning Project
Learners complete introductory R Studio programming analyses to evaluate the role analytics plays in the sports industry. Learners perform data analytics and serve as a team executive and player agent representative. Learners reflect on their skills and complete a roadmap to a position within the sports arena.
This course provides an introduction to the fundamental ideas in applying data analytics to issues surrounding key regulatory and management functions within the sports industry. Sports as an industry is increasingly relying on data analytics for more effective deployment of resources and assessment of performance in areas ranging from player productivity to fan engagement, talent identification and development, coaching, sponsorship, and marketing. This course and its successors will help you understand this new role of data analysis in the sports business.
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.
In this course, we will discuss the interplay of law, data analysis, and athlete representation using the athlete's career path trajectory as the focus. The intent is to introduce data analytical tools, laws, & regulations applicable to athlete representation throughout various stages of an athlete’s career. The primary focus is on athlete development and representation within the regulatory frameworks of federal and state laws and other pertinent rulemaking authorities, including pro sports unions.
This course is geared toward operating a multi-use, public facility, similar to Madison Square Garden (NYC), GIANTS Stadium (Sydney, AUS) and Utilita Arena Birmingham (UK). Multi-event arenas play host to sporting events, concerts, conferences, et al. and must be managed ethically and efficiently in order to be profitable and satisfy the millions of stakeholders served. This course will introduce topics such as contracts, sponsorship, security, insurance, public relations, broadcasting, media, fan engagement, and others that guide informed facility and management decision making.
Upon completion of the course, learners will be able to define a multi-event facility enterprise; describe several advantages of in-house and for-hire management operations; discuss how to use data to make informed management decisions; and list several key event management critical functions.
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3 months
An interest in R Studio programming language.
No
There is an option to earn a single university credit. More on this in spring 2023.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.