Skill Level Intermediate
- [Instructor] Many people have an irrational fear of statistics and data, but when it comes to sports, even the most math phobic fans can go on for hours quoting and arguing numbers about their favorite players and favorite teams. But if you're interested in data science, then there's a lot more that you can do than argue about who is the best clutch hitter in history. You can take data science and get some striking insights into sports management. I'm Barton Poulson and in this brief course we'll take a nontechnical conceptually-oriented look at how data science can be used to understand players' performance and team's profitability.
We'll explore the ways that the principles and practices of data science can help people when choosing what plays to make, when pricing tickets for games, and coaching players. We'll see how new statistics and new data sources, like biometrics and video capture, give fresh insight into age-old games, and we'll explore the ways that new technology, like augmented reality, can make broadcasts more exciting for fans and bring in new audiences. Because this is a nontechnical overview, anyone with an interest in sports and athletic excellence, regardless of their technical background, can get important ideas and insights from this course.
And, so, let's get started with The Data Science of Sports Management.
Q: This course was updated on 04/02/2018. What changed?
A: We added one video on data science careers in sports management.