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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.
Register for this course and see more details by visiting:
OpenCourser.com/course/on0gu7/data
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.
Read more
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.
Read more
Player Valuation, Team Performance, and Roster Management
In this module, we consider the roles and relationships in sports industry front offices, including organizational chart structure and hierarchy. You have the opportunity to hear from a former pro hockey player, executive, and scout.
Regulatory, Managerial & Legal Frameworks as they Relate to Player Representation
This module covers the various frameworks that constitute the basis for athlete representation, including the relationship between players and agents. An industry expert talks about wearable technology to inform decisions and the considerations and requirements of becoming an agent.
Facility & Event Management
This module covers the complexity of multi-event facility venues and operations. It includes conversations surrounding marketing, sponsorship, advertising, and legal aspects of risk management and insurance coverage. You'll meet an expert familiar with arena operations.
Pulling it All Together: Where are the Jobs and What do they Require?
In this module, we explore jobs and resources across the sports industry. Our subject matter expert will share how he entered the sports industry and then proceeded along his path to becoming the director of analytics & assistant director of scouting.
Good to know
Good to know
Know what's good ,
what to watch for , 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
Save this course
Save Data Analytics in Sports Law and Team Management to your list so you can find it easily later:
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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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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.
Review Statistics
Show steps
Reinforce your foundational understanding of statistical concepts to enhance your comprehension of data analytics in sports.
Browse courses on
Statistics
Show steps
Show steps
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
Show steps
Review the fundamental principles of data analytics and statistics to strengthen your foundation for this course.
Browse courses on
Data Analytics
Show steps
Show steps
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
Show steps
Engage in hands-on practice to develop your data analysis skills in a sports context.
Browse courses on
Data Analysis
Show steps
Show steps
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
Show steps
Explore and practice using industry-standard sports analytics tools to enhance your data analysis capabilities.
Browse courses on
Data Analytics Tools
Show steps
Show steps
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
Show steps
Connect with fellow students to discuss course material, share insights, and support each other's learning.
Show steps
Show steps
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
Show steps
Gain proficiency in analyzing sports data to identify trends, patterns, and insights that inform decision-making.
Browse courses on
Data Analysis
Show steps
Show steps
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
Show steps
Engage with experts and professionals in the field of sports analytics to expand your network and stay abreast of industry trends.
Show steps
Show steps
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
Show steps
Establish relationships with individuals working in sports analytics to gain insights, guidance, and industry knowledge.
Show steps
Show steps
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
Show steps
Engage in collaborative sports analytics initiatives to showcase your skills, learn from others, and contribute to the community.
Show steps
Show steps
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 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.
Sports Agent
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.
Talent Scout
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.
Player Personnel Director
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.
Facility Operations Manager
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.
Sports Law Attorney
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.
Sports Data Analyst
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.
Sports Performance 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.
Team Operations Manager
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.
Coach
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.
Sports Psychologist
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.
Sports Nutritionist
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.
Sports Broadcaster
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.
Sports Journalist
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.
Marketing and Sales Manager
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.
For more career information including salaries, visit:
OpenCourser.com/course/on0gu7/data
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.
Save
A classic in the field of data analytics, demonstrating how the Oakland A's used sabermetrics to gain an advantage in baseball.
Provides a broader perspective on the impact of data analytics and technological advancements on society and business, including the sports industry.
Save
Focuses on the practical applications of data analytics in sports, with a focus on player evaluation and team performance.
Provides a detailed explanation of player evaluation methods, including traditional and advanced metrics.
Provides an economic analysis of the sports industry, covering topics such as player salaries, revenue sharing, and stadium construction.
Save
Explores the ethical issues and controversies surrounding the sports industry, such as doping, gambling, and player exploitation.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/on0gu7/data
Share
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Effort
5 weeks of study, 2.5 hours/week
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
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tiếng Việt
This course belongs to a
collection
called
Data Analytics in Sports Law and Management. It's comprised of three courses:
- Player Evaluation, Team Performance and Roster Management
- Analytics, Law, and Athlete Representation
- Data Analytics in Sports Law and Team Management (viewing)
Good to know
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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