Introduction to Sports Analytics
-
This training program is designed for beginners in sports analytics.
-
The event is free and open for Data Science Club members. (Undergrad, graduate and doctorate students)
-
After 4-week classes given, participants can start their own projects under the guidance of a mentor.
Course Overview
The Data Science Club presents Introduction to Sports Analytics. This is a 4-week long training program and it is scheduled every Saturday 1:00 pm - 2:00 pm from September 21st at JSOM 2.801. Read through for more details -
Week 1: Brief Overview (09/21)
-
What is Sports Analytics?
-
Areas of Sports Analytics – Fan Engagement, Ticket Sale, Fan Engagement, Cricket, Football, Baseball Analytics
-
Career in Sports Analytics: Expectations
-
Conferences, Groups to follow in Sports in Analytics i.e CMU and Sandford Sports Analytics
-
Companies who are working in Sports Analytics
-
Discuss Requirement from the class: Project
Week 2: Case Studies (09/28)
-
3D Athlete Tracking for Tokyo 2020 Olympics
https://www.youtube.com/watch?v=S7Ntp2hpqJ8
-
Using AI to Power the Driving Experience
https://www.youtube.com/watch?v=8lAQJ8wvKnQ
Explain the concepts behind these technologies. Discuss the papers or the idea behind these new projects
Week 3: Case Studies : Start up in Sports (10/12)
-
Spektacom “Power Bat"
https://www.youtube.com/watch?v=TBGrcXgGHok
-
Homecourt: Basketball
https://www.youtube.com/watch?v=ivh_rLhFaQk
Week 4: Projects of the class (10/19)
Discussion and guidance among the group for the project done by individual students
VINAY KUMAR SINGH
MSBA Fall '18
Youtube Video: 3D Athlete Tracking for Tokyo 2020 Olympics