What You’ll Learn:
Data analysis can and should influence decisions on the field, court, ice or pitch in the same way it impacts decisions in the boardroom. While the physical landscapes may vary, the objective to maximize the likelihood of successful organizational outcomes does not. Practical applications of data-driven, decision-making processes will serve as the framework for introducing attendees to the field of sports analytics.
Meghan Hall is a data scientist at Zelus Analytics and is currently teaching a course on data visualization at Carnegie Mellon University. Meghan contributes to the public sports analytics community by helping beginners learn R as well as by writing and presenting on various aspects of hockey analysis as a member of Hockey-Graphs.