Course Description

Welcome to the exciting world of Sports Business Analytics! This cutting-edge course offers a comprehensive introduction to the revolutionary field of analytics in sports, providing you with the tools and knowledge to gain a competitive edge in both on-field performance and off-field business decisions. Dive into the fascinating realm where data meets athletics, and discover how analytics are reshaping the sports industry as we know it.

Throughout this self-paced, online course, you'll explore the best practices employed by data analysts in sport business analytics. From data collection and fact-finding to visualization and metrics, you'll learn how to guide strategic decision-making in various aspects of the sports industry, including professional sports. Don't worry if you're new to data science or programming – this course is designed to be accessible to learners from all backgrounds.

What Students Will Learn

• Identify key concepts and characteristics of sports analytics, both historically and in today's industry
• Interpret various aspects of analytics in sports, including player data points, athlete performance tracking, and organizational key performance indicators
• Develop critical thinking skills for analyzing sports-related data
• Gain perspective on the growing trend of sport analytics
• Learn strategies, analytical techniques, and concepts used to evaluate players, team performance, and front-office strategies
• Engage in discussions on sport analytics topics
• Utilize data analysis and statistical techniques to identify problems and propose innovative solutions for improving performance both on and off the field

Pre-requisites

While no comprehensive background in data science, computer science/Python, or machine learning is required, it is recommended that students complete the SPRT1x Sport Management Foundations course before enrolling in this one.

Course Coverage

• Introduction to data in sport, including history and sources
• Statistical techniques and technology used in sports analytics
• The impact of analytics on on-field performance
• New metrics and player evaluations
• Strategic decision-making in sports
• Business aspects of sport analytics, including customer relationship management and ticketing
• Fan engagement strategies
• Data visualization and storytelling
• Evaluation of sport sponsorships

Who This Course Is For

• Sports enthusiasts looking to understand the data behind the game
• Aspiring sports managers and executives
• Current sports industry professionals seeking to upgrade their skills
• Data analysts interested in applying their skills to the sports world
• Students considering a career in sports business or analytics

Real-World Applications

• Improving team performance through data-driven strategies
• Enhancing fan engagement and experience at sporting events
• Optimizing ticket sales and pricing strategies
• Evaluating and maximizing the value of sponsorships
• Developing more effective player recruitment and development programs
• Creating compelling data visualizations for sports media and broadcasting
• Informing business decisions in sports organizations

Syllabus