Sport Analytics: Data Driven Decision Making from edX

Analytics have revolutionized sport, providing a competitive advantage to organizational decision-making both on and off the field. This course introduces best practices utilized by data analysts in sport business analytics. The course touches on sports data collection, fact finding, visualization, and metrics that guide strategic decision-making in the sport industry. This course will touch on many aspects of the sports industry, including professional sports. You do do not need a comprehensive background in data science, computer science/Python, or machine learning to complete this edX course.

Through the duration of this self-paced, online course, learners will:

Identify the concepts and characteristics of sports analytics in the sporting industry, historically and today.
Interpret aspects of analytics in the sporting industry (e.g., the impact of analytics in sport, player data points, athlete performance data tracking, organizational key performance indicators, etc.)
Comprehend and engage in critical thinking with analytic topics in the sporting industry.
Obtain a perspective of the growing trend and field of sport analytics.
Gain insight on the strategies, analytical techniques, and concepts used to evaluate players, team performance, and front-office strategies.
Discuss topics related to sport analytics
Utilize data analysis and statistical analysis techniques to identify problems and propose innovative solutions for improving performance both on the field and in sport management.

What's inside

Learning objectives

Identify concepts in sport analytics.
Understand the benefits and objectives of sport analytics.

Discuss the impact of analytics on sport.
Demonstrate insight on the strategies and concepts of sport analytics.

Identify concepts in sport analytics.
Understand the benefits and objectives of sport analytics.
Discuss the impact of analytics on sport.
Demonstrate insight on the strategies and concepts of sport analytics.

Syllabus

WEEK 1: Introduction to Data in Sport

History of Sport Analytics

Sources of Data and Datasets

Statistical Techniques

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Provides a baseline understanding of the goals and objectives of sport analytics

Taught by instructors who are experienced in sport analytics

Covers a wide range of topics, including data collection, fact-finding, visualization, and metrics

Helps learners to gain insight on the strategies, analytical techniques, and concepts used to evaluate players, team performance, and front-office strategies

Suitable for learners with little to no background in data science, computer science, or machine learning

Reviews summary

Sport analytics: foundational & business focused

According to learners, this course offers an excellent introduction to the world of sport analytics, particularly for those looking to understand its business and strategic applications. Students praise its accessibility for beginners, noting that it effectively covers complex ideas without requiring a strong background in data science or coding. The course is seen as a solid foundational overview, demystifying jargon and providing valuable insights into areas like fan engagement, sponsorship evaluation, and strategic decision-making. However, some learners with prior experience or a desire for practical coding skills have found the course to be more conceptual than hands-on, suggesting it's less suited for those seeking deep technical training.

Designed for learners with no extensive data science or coding background.

"The concepts were explained clearly, making it accessible even without a strong data science background."

"It fulfilled its promise of no prior data science knowledge required."

"My only minor critique... the course explicitly states no heavy coding is required, so it delivers on its promise."

"If you're completely new to data, it's a decent starting point."

Valuable insights into sport management, fan engagement, and sponsorships.

"As someone in sports management, I found the practical insights into CRM, fan engagement, and sponsorship evaluation incredibly valuable."

"I appreciated the focus on business applications rather than just on-field performance."

"It's perfect for managers, marketers, or anyone who wants to speak intelligently about sports data. The concepts like KPI's and strategic decision making were explained very well."

"The content on new metrics and player evaluations was insightful."

Provides a comprehensive and clear introduction to sport analytics.

"This course provided an excellent introduction to sport analytics. The content was well-structured, starting from the history and moving to practical applications..."

"A solid course for beginners! It covers a good breadth of topics, from historical context to modern applications in ticketing and sponsorships."

"Fantastic overview of sports analytics! It truly demystified a lot of the jargon and showed how analytics is a 'game changer' for organizations."

"An excellent primer! It fulfilled its promise of no prior data science knowledge required."

May be too basic for those with prior experience in statistics or data.

"A bit too superficial for my taste. I already knew some basic stats and was looking for something that would elevate my understanding beyond just concepts."

"If you're a true beginner, it might be fine, but for intermediate learners, it might not offer enough challenge or new information."

More theoretical and conceptual, less practical coding or advanced analysis.

"My only minor critique is that some areas, especially the statistical techniques, could have been explored a bit more deeply..."

"I signed up hoping for more practical exercises or demonstrations of actual data analysis in sports. While it covers concepts well, it's very theory-heavy."

"This course felt like a high-level overview without enough practical application or hands-on data work. If you're a true beginner, it might be fine..."

"It's good for understanding 'what' sport analytics is, but less so 'how' to actually do it. The modules on historical context were interesting, but I needed more actionable skills."

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 Sport Analytics: Data Driven Decision Making with these activities:

Explore Online Tutorials on Statistical Techniques for Sports Analytics

Show steps

Statistical techniques are essential for analyzing and interpreting sports data. This activity will help you explore and master these techniques through guided online tutorials.

Browse courses on Statistical Techniques

Show steps

Identify online tutorials or courses that cover statistical techniques used in sports analytics.
Go through the tutorials and practice using the techniques.
Apply the techniques to analyze sports data and draw insights.

Practice Identifying Key Performance Indicators (KPIs) in Sports Analytics

Show steps

Understanding KPIs is crucial for effective decision-making in sport. This activity will reinforce your ability to identify and apply these metrics in real-world scenarios.

Browse courses on Key Performance Indicators (KPIs)

Show steps

Review course materials on KPIs and their importance in sports analytics.
Analyze case studies and identify KPIs used in different sports organizations.
Create a list of KPIs that are relevant to a specific sport or team.

Participate in Study Groups for Sports Analytics Case Studies

Show steps

Collaborating with peers can enhance your critical thinking skills and deepen your understanding of sports analytics concepts.

Browse courses on Case Studies

Show steps

Form study groups with other learners.
Select case studies related to sports analytics.
Discuss the case studies, share insights, and engage in critical analysis.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Develop a Data Visualization Dashboard for Player Performance Analysis

Show steps

Create a data visualization dashboard that provides insights into player performance. This will enhance your understanding of data visualization techniques and their application in sports.

Browse courses on Data Visualization

Show steps

Gather player performance data from relevant sources.
Choose appropriate data visualization tools and techniques.
Design and develop a dashboard that presents data in a clear and actionable manner.

Volunteer for Data Analytics Projects in Sports Organizations

Show steps

Gain practical experience and contribute to the field by volunteering your skills in sports analytics projects.

Browse courses on Sports Analytics

Show steps

Contact sports organizations to inquire about volunteer opportunities in sports analytics.
Identify projects that align with your interests and skillset.
Actively participate in data analysis, visualization, and reporting tasks.

Attend Workshops on Advanced Sports Analytics Techniques

Show steps

Workshops provide a structured and immersive way to explore advanced topics and gain hands-on experience with the latest sports analytics techniques.

Show steps

Research and identify workshops that cover advanced sports analytics techniques.
Register and attend the workshops.
Actively participate in exercises, discussions, and hands-on projects.

Participate in Sports Analytics Competitions

Show steps

Engage in real-world problem-solving by participating in sports analytics competitions. Showcase your skills and gain valuable experience.

Browse courses on Sports Analytics

Show steps

Identify sports analytics competitions that align with your interests.
Form a team or collaborate with other participants.
Analyze data, develop models, and present your findings.

Career center

Learners who complete Sport Analytics: Data Driven Decision Making will develop knowledge and skills that may be useful to these careers:

Sports Data Analyst

A Sports Data Analyst uses data to analyze sports performance. This course can provide you with the specialized knowledge and skills needed to succeed as a Sports Data Analyst, including sports data analysis, player evaluation, and strategic decision making.

See salaries and explore the career path for Sports Data Analyst

Sports Analyst

A Sports Analyst uses data to analyze sports performance and identify trends. This course can provide you with the specialized knowledge and skills needed to succeed as a Sports Analyst, including sports data analysis, player evaluation, and strategic decision making.

See salaries and explore the career path for Sports Analyst

Sports Performance Analyst

A Sports Performance Analyst uses data to analyze athlete performance. This course can provide you with the specialized knowledge and skills needed to succeed as a Sports Performance Analyst, including sports data analysis, player evaluation, and training optimization.

See salaries and explore the career path for Sports Performance Analyst

Data Analyst

A Data Analyst collects, transforms, and analyzes data to uncover trends. This course can provide you with the necessary knowledge and skills to succeed as a Data Analyst, including data collection, statistical techniques, and data visualization.

See salaries and explore the career path for Data Analyst

Sports Marketing Analyst

A Sports Marketing Analyst uses data to analyze marketing campaigns and identify opportunities for growth. This course can provide you with the necessary knowledge and skills to succeed as a Sports Marketing Analyst, including data analysis, statistical techniques, and marketing principles.

See salaries and explore the career path for Sports Marketing Analyst

Statistician

A Statistician uses statistical methods to collect, analyze, interpret, and present data. This course can provide you with a strong foundation in statistics, including statistical techniques, data analysis, and data visualization.

See salaries and explore the career path for Statistician

Sports Operations Analyst

A Sports Operations Analyst uses data to analyze sports operations and identify opportunities for improvement. This course can provide you with the necessary knowledge and skills to succeed as a Sports Operations Analyst, including data analysis, operations management, and financial analysis.

See salaries and explore the career path for Sports Operations Analyst

Business Analyst

A Business Analyst uses data to identify business problems and develop solutions. This course can help you build a foundation in business analytics, including data analysis, statistical techniques, and presentation skills.

See salaries and explore the career path for Business Analyst

Sports Management Analyst

A Sports Management Analyst uses data to analyze sports organizations and identify opportunities for improvement. This course can provide you with the necessary knowledge and skills to succeed as a Sports Management Analyst, including data analysis, strategic planning, and financial analysis.

See salaries and explore the career path for Sports Management Analyst

Risk Analyst

A Risk Analyst uses data to identify and assess risks. This course can provide you with the necessary knowledge and skills to succeed as a Risk Analyst, including data analysis, statistical techniques, and risk management techniques.

See salaries and explore the career path for Risk Analyst

Market Research Analyst

A Market Research Analyst collects, analyzes, and interprets data to understand consumer behavior and market trends. This course can provide you with the necessary skills to succeed as a Market Research Analyst, including data analysis, statistical techniques, and data visualization.

See salaries and explore the career path for Market Research Analyst

Operations Research Analyst

An Operations Research Analyst uses data to analyze and improve business operations. This course can provide you with the necessary knowledge and skills to succeed as an Operations Research Analyst, including data analysis, statistical techniques, and optimization techniques.

See salaries and explore the career path for Operations Research Analyst

Sports Psychologist

A Sports Psychologist uses data to analyze the mental and emotional aspects of sports performance. This course can provide you with the necessary knowledge and skills to succeed as a Sports Psychologist, including data analysis, mental health, and sports psychology.

See salaries and explore the career path for Sports Psychologist

Sports Agent

A Sports Agent represents athletes in contract negotiations and other business matters. This course can provide you with the necessary knowledge and skills to succeed as a Sports Agent, including data analysis, contract negotiation, and sports law.

See salaries and explore the career path for Sports Agent

Financial Analyst

A Financial Analyst uses data to analyze financial performance and make investment recommendations. This course can provide you with the necessary knowledge and skills to succeed as a Financial Analyst, including data analysis, statistical techniques, and financial modeling.

See salaries and explore the career path for Financial Analyst