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Data Analytics in Sports Law and Team Management

Bruce Pitman, Helen Drew, and Gerry Meehan

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.

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What's inside

Syllabus

Introduction to Data Analytics in Sports Law & Team Management
This module covers the importance of data, what it can provide, and why it is relevant. It also covers the three basic areas in the sports industry where data is fundamentally important: 1.) team management, 2.) agency representation, and 3.) facility operations. We will explore using data, along with intuition and experience, to make decisions. An industry expert will share his view of the importance of data in the sports industry.
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Explores applications of data analytics in sports law and team management, which are highly relevant to the sports industry
Taught by instructors with expertise in data analytics, sports law, and team management
Develops skills and knowledge core to roles in sports law and team management
Covers a range of topics, including player valuation, roster management, and facility operations, which are essential for the success of sports organizations
Provides insights into the use of data analytics to improve decision-making in the sports industry

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Reviews summary

Data analytics in sports management

According to students, this course offers a strong introductory foundation in applying data analytics within the sports industry, particularly in team management, player valuation, and facility operations. Learners frequently highlight the value of industry expert insights and real-world applications, finding the content both relevant and practical. While it serves as an excellent starting point for those new to the field, some indicate that it lays groundwork for further study rather than providing deep technical analytical skills. The course is generally well-structured, with a clear and engaging curriculum that helps bridge the gap between sports business and data.
Well-paced and engaging, keeping interest throughout.
"The course was engaging throughout, and the pacing allowed for easy absorption of new information."
"I never felt overwhelmed, and the examples kept me interested in the material."
"The varied expert contributions kept the learning experience dynamic and prevented monotony."
Well-organized modules, logical progression of topics.
"The modules flowed logically, making it easy to follow the progression of concepts from introduction to application."
"I found the course structure clear and the content presented in a digestible format."
"Each section built well on the last, providing a comprehensive and coherent learning experience."
Helpful information on job opportunities and paths.
"The module on job opportunities and requirements in the sports industry was extremely beneficial for my career planning."
"I found the advice on breaking into the sports analytics field and the expert's career path inspiring and informative."
"It clarified what roles exist and what skills are needed, which is helpful for aspiring sports professionals."
An excellent introduction, suitable for beginners in the field.
"It's a great starting point for anyone looking to understand the basics of data analytics in sports."
"The course lays a solid foundation, especially for someone like me who had limited prior exposure to sports analytics."
"This class provided a comprehensive overview, making complex topics accessible for a foundational understanding."
Directly applicable knowledge for careers in sports management.
"This course provided practical tools and strategies that I could apply immediately to understanding sports business operations."
"The focus on facility operations and risk management was particularly relevant for my career interests in event planning."
"I gained a better understanding of how data directly impacts decisions in professional sports teams."
Valuable perspectives from professionals in the sports industry.
"The insights from industry experts were incredibly valuable, especially the discussions on player valuation and scouting."
"I appreciated hearing directly from professionals working in sports. Their real-world experiences really brought the concepts to life."
"Learning from a former pro hockey player and a scouting director gave me a unique perspective I wouldn't get elsewhere."
Not focused on advanced data analytics techniques.
"While great for concepts, I wish there was more hands-on work with actual data analysis tools."
"It's more about the 'why' and 'what' of data in sports, less about the 'how' for advanced analytics."
"Don't expect to become a data scientist from this course; it's more about understanding the business applications."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Analytics in Sports Law and Team Management with these activities:
Review Statistics
Reinforce your foundational understanding of statistical concepts to enhance your comprehension of data analytics in sports.
Browse courses on Statistics
Show steps
  • Revisit key statistical concepts, such as probability, hypothesis testing, and regression analysis.
  • Practice basic statistical calculations and interpretation.
  • Review statistical software packages like R or Python.
Review Data Analytics and Statistics
Review the fundamental principles of data analytics and statistics to strengthen your foundation for this course.
Browse courses on Data Analytics
Show steps
  • Revisit key concepts from introductory data analytics courses, such as data collection, analysis, and visualization.
  • Practice applying statistical methods to real-world datasets to enhance your data analysis skills.
Data Analysis Exercises
Engage in hands-on practice to develop your data analysis skills in a sports context.
Browse courses on Data Analysis
Show steps
  • Import and clean sports data from various sources.
  • Analyze player performance metrics using statistical techniques.
  • Visualize data to identify trends and make informed decisions.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Learn about Sports Analytics Tools
Explore and practice using industry-standard sports analytics tools to enhance your data analysis capabilities.
Browse courses on Data Analytics Tools
Show steps
  • Identify and research popular sports analytics tools, such as Tableau and Python libraries.
  • Complete tutorials and online courses to gain proficiency in these tools.
Join a Sports Analytics Study Group
Connect with fellow students to discuss course material, share insights, and support each other's learning.
Show steps
  • Find or create a study group with classmates who share your interests in sports analytics.
  • Meet regularly to discuss course topics, collaborate on projects, and exchange ideas.
Analyze Sports Data
Gain proficiency in analyzing sports data to identify trends, patterns, and insights that inform decision-making.
Browse courses on Data Analysis
Show steps
  • Collect and clean sports data from various sources.
  • Explore data using statistical and visualization techniques.
  • Identify key metrics and develop predictive models.
  • Present findings and derive actionable insights.
Attend Sports Analytics Conferences
Engage with experts and professionals in the field of sports analytics to expand your network and stay abreast of industry trends.
Show steps
  • Research and identify upcoming sports analytics conferences.
  • Register and attend these conferences to connect with professionals and learn about cutting-edge research.
Seek Mentorship from Sports Analytics Professionals
Establish relationships with individuals working in sports analytics to gain insights, guidance, and industry knowledge.
Show steps
  • Identify potential mentors through networking events or professional organizations.
  • Reach out to professionals and request mentorship, outlining your interests and goals.
Contribute to Open-Source Sports Analytics Projects
Engage in collaborative sports analytics initiatives to showcase your skills, learn from others, and contribute to the community.
Show steps
  • Identify open-source sports analytics projects on platforms like GitHub.
  • Review project documentation and codebase to assess potential contributions.
  • Fork the project, make modifications, and submit pull requests for review.

Career center

Learners who complete Data Analytics in Sports Law and Team Management will develop knowledge and skills that may be useful to these careers:
Sports Marketing Manager
Sports Marketing Managers plan, develop, and execute marketing campaigns for sports teams, leagues, and events. They use data analytics to understand their target audience, develop effective marketing strategies, and measure the success of their campaigns. 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. It covers topics such as player valuation, team performance, roster management, and facility management. This knowledge would be valuable for Sports Marketing Managers who want to use data analytics to improve the effectiveness of their marketing campaigns.
See salaries and explore the career path for Sports Marketing Manager
Sports Agent
Sports Agents represent athletes and negotiate contracts on their behalf. They use data analytics to evaluate their clients' performance, identify potential clients, and develop marketing strategies. 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. It covers topics such as player valuation, team performance, roster management, and regulatory frameworks. This knowledge would be valuable for Sports Agents who want to use data analytics to improve their ability to represent their clients.
See salaries and explore the career path for Sports Agent
Talent Scout
Talent Scouts identify and evaluate potential athletes for professional sports teams. They use data analytics to assess players' performance, identify potential recruits, and develop scouting reports. 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. It covers topics such as player valuation, team performance, roster management, and talent identification. This knowledge would be valuable for Talent Scouts who want to use data analytics to improve their ability to identify and evaluate potential athletes.
See salaries and explore the career path for Talent Scout
Player Personnel Director
Player Personnel Directors oversee the player personnel operations of professional sports teams. They use data analytics to evaluate players, make roster decisions, and negotiate contracts. 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. It covers topics such as player valuation, team performance, roster management, and regulatory frameworks. This knowledge would be valuable for Player Personnel Directors who want to use data analytics to improve their ability to make personnel decisions.
See salaries and explore the career path for Player Personnel Director
Facility Operations Manager
Facility Operations Managers oversee the operation of sports facilities. They use data analytics to optimize facility usage, improve customer service, and generate revenue. 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. It covers topics such as facility management, event management, and risk management. This knowledge would be valuable for Facility Operations Managers who want to use data analytics to improve the efficiency and effectiveness of their operations.
See salaries and explore the career path for Facility Operations Manager
Sports Law Attorney
Sports Law Attorneys represent clients in matters involving the legal aspects of sports. They use data analytics to assess the legal risks associated with player contracts, team transactions, and facility operations. 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. It covers topics such as regulatory frameworks, player representation, and facility management. This knowledge would be valuable for Sports Law Attorneys who want to use data analytics to improve their ability to represent their clients.
See salaries and explore the career path for Sports Law Attorney
Sports Data Analyst
Sports Data Analysts use data to analyze and interpret the performance of athletes, teams, and organizations. They use this information to identify trends, develop insights, and make recommendations to improve performance. 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. It covers topics such as data analysis, player valuation, and team performance. This knowledge would be valuable for Sports Data Analysts who want to improve their ability to analyze and interpret data to provide insights to teams and organizations.
See salaries and explore the career path for Sports Data Analyst
Sports Performance Analyst
Sports Performance Analysts use data to analyze and interpret the performance of athletes and teams. They use this information to develop training programs and provide recommendations to improve performance. 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. It covers topics such as data analysis, player performance, and team performance. This knowledge would be valuable for Sports Performance Analysts who want to improve their ability to analyze and interpret data to provide insights to athletes and teams.
See salaries and explore the career path for Sports Performance Analyst
Team Operations Manager
Team Operations Managers oversee the day-to-day operations of professional sports teams. They use data analytics to improve the efficiency and effectiveness of their operations. 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. It covers topics such as team management, player management, and facility management. This knowledge would be valuable for Team Operations Managers who want to use data analytics to improve the efficiency and effectiveness of their operations.
See salaries and explore the career path for Team Operations Manager
Coach
Coaches lead and instruct athletes in a particular sport. They use data analytics to evaluate their players' performance, develop training plans, and make strategic decisions. 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. It covers topics such as player performance, team performance, and talent identification. This knowledge would be valuable for Coaches who want to use data analytics to improve their ability to lead and instruct their athletes.
See salaries and explore the career path for Coach
Sports Psychologist
Sports Psychologists help athletes overcome mental challenges and improve their performance. They use data analytics to assess athletes' mental health, identify areas for improvement, and develop intervention strategies. 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. It covers topics such as player performance, team performance, and mental health. This knowledge would be valuable for Sports Psychologists who want to use data analytics to improve their ability to help athletes overcome mental challenges and improve their performance.
See salaries and explore the career path for Sports Psychologist
Sports Nutritionist
Sports Nutritionists provide nutritional guidance to athletes to help them improve their performance. They use data analytics to assess athletes' nutritional needs, develop meal plans, and monitor their progress. 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. It covers topics such as player performance, team performance, and nutrition. This knowledge would be valuable for Sports Nutritionists who want to use data analytics to improve their ability to provide nutritional guidance to athletes.
See salaries and explore the career path for Sports Nutritionist
Sports Broadcaster
Sports Broadcasters provide commentary and analysis of sporting events for television and radio audiences. They use data analytics to enhance their broadcasts and provide insights to viewers and listeners. 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. It covers topics such as player performance, team performance, and broadcasting. This knowledge would be valuable for Sports Broadcasters who want to use data analytics to improve their ability to provide commentary and analysis of sporting events.
See salaries and explore the career path for Sports Broadcaster
Sports Journalist
Sports Journalists write and report on sporting events for newspapers, magazines, and websites. They use data analytics to enhance their reporting and provide insights to readers. 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. It covers topics such as player performance, team performance, and journalism. This knowledge would be valuable for Sports Journalists who want to use data analytics to improve their ability to write and report on sporting events.
See salaries and explore the career path for Sports Journalist
Marketing and Sales Manager
Marketing and Sales Managers plan and execute marketing and sales campaigns for businesses. They use data analytics to understand their target audience, develop effective marketing and sales strategies, and measure the success of their campaigns. 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. It covers topics such as marketing, sales, and data analysis. This knowledge would be valuable for Marketing and Sales Managers who want to use data analytics to improve the effectiveness of their marketing and sales campaigns.
See salaries and explore the career path for Marketing and Sales Manager

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Analytics in Sports Law and Team Management.
Cover image
The Big Short
Save
A classic in the field of data analytics, demonstrating how the Oakland A's used sabermetrics to gain an advantage in baseball.
The Big Short: Inside the Doomsday Machine
Paperback
$$
The Big Short
Paperback
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(Deutsch) The Big Short: Wie eine Handvoll Trader die Welt...
Kindle Edition
$
Michael Lewis 3 Books Collection Set(The Big Short,...
Paperback
$$$
(Español) La gran apuesta / The Big Short: Inside the...
Paperback
$$
(Pусский) Игра на понижение: Тайные пружины финансовой...
Kindle Edition
$
Liar's Poker: From the author of the Big Short...
Paperback
$
(中文) The Big Short：inside the Doomsday Machine (Chinese...
Paperback
$$$
(日本語) The Big Short- Inside the Doomsday Machine...
Paperback Bunko
$$
Cover image
Stakeholder Capitalism
Save
Provides a broader perspective on the impact of data analytics and technological advancements on society and business, including the sports industry.
Stakeholder Capitalism: A Global Economy that Works...
Hardcover
$$
(中文) Stakeholder Capitalism (Chinese Edition)
Hardcover
$$
Stakeholder Capitalism: A Global Economy that Works...
Kindle Edition
$$
Cover image
Mathletics
Save
Focuses on the practical applications of data analytics in sports, with a focus on player evaluation and team performance.
Mathletics
Paperback
Check
Mathletics
Kindle Edition
Check
Cover image
Player Won-Lost Records in Baseball
Save
Provides a detailed explanation of player evaluation methods, including traditional and advanced metrics.
Player Won-Lost Records in Baseball: Measuring...
Paperback
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Player Won-Lost Records in Baseball: Measuring...
Kindle Edition
$$
Cover image
Whither College Sports
Save
Provides an economic analysis of the sports industry, covering topics such as player salaries, revenue sharing, and stadium construction.
Whither College Sports: Amateurism, Athlete Safety,...
Paperback
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Whither College Sports: Amateurism, Athlete Safety,...
Kindle Edition
$$
Cover image
Ethics in Sport
Save
Explores the ethical issues and controversies surrounding the sports industry, such as doping, gambling, and player exploitation.
Ethics in Sport
Paperback
Check
Ethics in Sport
Kindle Edition
Check

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Course image
Effort
9 hours to complete
Level
Introductory
Via
Coursera
Institution
The State University of New York
Instructors
Bruce Pitman
Helen Drew
Gerry Meehan
Language
English
Transcripts
Español Français Português Deutsch Italiano 中文 العربية 한국어 日本語 हिंदी Nederlands Svenska Pусский Türkçe Polski Ελληνικά українська мова Bahasa Indonesia ไทย қазақша tiếng Việt
This course belongs to a collection called Data Analytics in Sports Law and Management. It's comprised of three courses:
  1. Player Evaluation, Team Performance and Roster Management
  2. Analytics, Law, and Athlete Representation
  3. Data Analytics in Sports Law and Team Management (viewing)
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Explores applications of data analytics in sports law and team management, which are highly relevant to the sports industry
Taught by instructors with expertise in data analytics, sports law, and team management
Develops skills and knowledge core to roles in sports law and team management
Covers a range of topics, including player valuation, roster management, and facility operations, which are essential for the success of sports organizations
Provides insights into the use of data analytics to improve decision-making in the sports industry
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