Data Analytics in Sports Law and Team Management (Coursera)

Data Analytics in Sports Law and Team Management (Coursera)

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Syllabus

WEEK 1
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.

WEEK 2
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.

WEEK 3
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.

WEEK 4
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.

WEEK 5
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.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Dataplex by Google Cloud (Coursera) Coursera
Board Infinity

Dataplex by Google Cloud (Coursera)

Welcome to "Dataplex By Google Cloud " a comprehensive course designed to provide a thorough understanding of Google Cloud Dataplex, a platform for managing, monitoring, and analyzing data across various data systems in Google Cloud. Spanning two modules, the course begins with the fundamentals of Dataplex, including its setup, configuration, and basic functionalities.

Nov 9th 2026
2 Weeks
Liderazgo de equipos (Coursera) Coursera
University of Michigan

Liderazgo de equipos (Coursera)

En este curso, aprenderá cómo construir su equipo, mejorar el trabajo en equipo y la colaboración, y mantener el desempeño del equipo a través del aprendizaje y la mejora continuos. Específicamente, aprenderá las mejores prácticas para componer un equipo y alinear los objetivos individuales y del equipo. También aprenderá a establecer roles, construir estructuras y administrar la toma de decisiones para que su equipo sobresalga.

Nov 2nd 2026
4 Weeks
Spatial Data Science and Applications (Coursera) Coursera
Yonsei University

Spatial Data Science and Applications (Coursera)

Spatial (map) is considered as a core infrastructure of modern IT world, which is substantiated by business transactions of major IT companies such as Apple, Google, Microsoft, Amazon, Intel, and Uber, and even motor companies such as Audi, BMW, and Mercedes. Consequently, they are bound to hire more and more spatial data scientists. Based on such business trend, this course is designed to present a firm understanding of spatial data science to the learners, who would have a basic knowledge of data science and data analysis, and eventually to make their expertise differentiated from other nominal data scientists and data analysts.

Nov 2nd 2026
5-12 Weeks
A prática da gestão de clubes e federações esportivas (Coursera) Coursera
FIA Business School

A prática da gestão de clubes e federações esportivas (Coursera)

O aluno irá aprender conceitos da gestão de clubes e federações esportivas, conceitos de marketing voltados ao esporte e conceitos de patrocínio esportivo. Iremos abordar a relação das federações esportivas com a imprensa e serão dados conceitos de finanças voltados a instituições esportivas.

Nov 9th 2026
5-12 Weeks
Liderar equipes (Coursera) Coursera
University of Michigan

Liderar equipes (Coursera)

Neste curso, você aprenderá como construir sua equipe, melhorar o trabalho em equipe e a colaboração e sustentar o desempenho da equipe por meio de aprendizado e melhoria contínuos. Especificamente, você aprenderá as melhores práticas para compor uma equipe e alinhar as metas individuais e da equipe. Você também aprenderá como estabelecer funções, criar estruturas e gerenciar a tomada de decisões para que sua equipe se sobressaia.

Nov 2nd 2026
4 Weeks
MySQL for Data Analytics and Business Intelligence (Coursera) Coursera
Edureka

MySQL for Data Analytics and Business Intelligence (Coursera)

Embark on a thorough educational expedition through the "Fundamentals of Database Management with MySQL" module. This foundational program aims to impart a robust comprehension of MySQL, a prominent Relational Database Management System (RDBMS). Participants will delve into crucial concepts, ranging from the fundamentals of SQL to more advanced topics like data retrieval, relationships, business intelligence, and data visualization.

Nov 2nd 2026
1 Week
Foundations of Data Science (Coursera) Coursera
Google

Foundations of Data Science (Coursera)

This is the first of seven courses in the Google Advanced Data Analytics Certificate, which will help develop the skills needed to apply for more advanced data professional roles, such as an entry-level data scientist or advanced-level data analyst. Data professionals analyze data to help businesses make better decisions. To do this, they use powerful techniques like data storytelling, statistics, and machine learning. In this course, you’ll begin your learning journey by exploring the role of data professionals in the workplace. You’ll also learn about the project workflow PACE (Plan, Analyze, Construct, Execute) and how it can help you organize data projects.

Nov 2nd 2026
5-12 Weeks
Accounting Data Analytics with Python (Coursera) Coursera
University of Illinois at Urbana-Champaign

Accounting Data Analytics with Python (Coursera)

This course focuses on developing Python skills for assembling business data. It will cover some of the same material from Introduction to Accounting Data Analytics and Visualization, but in a more general purpose programming environment (Jupyter Notebook for Python), rather than in Excel and the Visual Basic Editor. These concepts are taught within the context of one or more accounting data domains (e.g., financial statement data from EDGAR, stock data, loan data, point-of-sale data).

Nov 9th 2026
5-12 Weeks
Ethics of Technology (Coursera) Coursera
University of Notre Dame

Ethics of Technology (Coursera)

This course explores the ethical implications of data analytics. It connects old ideas – privacy, surveillance, power, justice, accountability, corporate responsibility, stakeholder theory – with new technologies and cases, such as the use of machine learning to predict crime. The course will prepare you to evaluate strategic arguments about the ethics of data analytics and to relate data analytics to ethical concepts so that you approach newer, ambiguous capabilities of technology and artificial intelligence with a critical eye.

Nov 2nd 2026
4 Weeks