Sport analytics remains a growing area in the sport industry. As such, the demand for skills and knowledge in this area has grown. This demand includes off-field data, such as marketing trends, as well as financial data related to sport organizations. There has been a trickle-down effect in sport management (and other) education programs to teach about analytics to better prepare students for these positions. The current case study will help instructors teach students analytics skills related to data exploration and analysis through Python, a common analytics and coding program. The case study presents an overview of the importance of sport analytics in the industry. We then present the code to be used in teaching a class related to scraping financial data from Yahoo!Finance and provide sample analyses with related code for assignments.