Enroll Course: https://www.coursera.org/learn/moneyball-and-beyond
The ‘Moneyball and Beyond’ course on Coursera offers a fascinating deep dive into the world of sports data analytics, inspired by the revolutionary book Moneyball. This course is perfect for anyone interested in understanding how data can be used to evaluate and improve team performance in professional sports, particularly baseball.
Throughout the course, learners will program in Python to analyze publicly available datasets, testing the core claims behind the Moneyball story. The curriculum is well-structured, starting with the foundational relationship between team winning percentages and key performance metrics like on-base percentage (OBP) and slugging percentage (SLG). As the weeks progress, the analysis expands to include player salaries, individual components of SLG, run expectancy, and the critical metric of Wins Above Replacement (WAR).
What makes this course stand out is its practical approach—it’s not just theory but hands-on coding and data analysis. You’ll learn to compute baseball statistics, derive run values from real game events, and understand the economic implications of player performance.
I highly recommend this course for sports enthusiasts, data scientists, or anyone interested in the power of analytics to inform decision-making in professional sports. Whether you’re looking to break into sports analytics or simply want to understand the data-driven strategies behind winning teams, ‘Moneyball and Beyond’ provides valuable insights and skills that are applicable in many fields.
Enroll today and start transforming data into winning strategies!
Enroll Course: https://www.coursera.org/learn/moneyball-and-beyond