top of page

​

 

Short Course On

Basketball Data Science​

 

​​

​

Dates:  7-9 May 2025

Location: Online course

Duration: 9 hours in three days (3 hours per date)

Schedule: 14.00-17.00 EEST

​

​

​

Course Lecturers

  • Marica Manisera (University of Brescia)

  • Paola Zuccolotto (University of Brescia)​

  • Christos Marmarinos (AUEB Sports Analytics Group & Sacramento Kings)

​

 To​

​​

Program

​

Day 1

  • Introduction to Basketball Performance indices and metrics

  • Data science in basketball

  • Basketball analytics: state of the art

  • Basketball data

  • Introduction to the R package BasketballAnalyzeR

 

Day 2

  • Basic statistical analyses using BasketballAnalyzeR

    • Pace, Ratings, Four Factors

    • Graphical representations

    • Shot charts

    • Density plots

    • Assist-shot networks

 

Day 3

  • Analysis of game splits

  • From play-by-play data to boxscores

  • Analysis of lineups and pairs of players

  • Impact of the lineup on a single player’s performance

  • Analysis of clutch moments

  • Concluding remarks and comments about the material of the course from the manager’s perspective

​​

​​

​​​

All participants must bring their own laptops fully charged with R and  the R package BasketballAnalyzeR already installed. 

How to install it: https://bdsports.unibs.it/basketballanalyzer/
For any problem, please write to basketball.analyzer.help@gmail.com

​​

All course participants will receive a certificate of attendance if they attend in both four-hour sessions. 

​​​

​

Contact

groupsportsanalytics@gmail.com

POSTERS_BBALL_DATA_SCIENCE.jpg
aueb_hr.jpg

AUEB SPORTS ANALYTICS 2025
Live Conference
5-6 May 2025, Athens (Greece)
Football Analytics - Live short course (7-9 May)
Basketball Data Analysis - Virtual short course (7-9 May)

bottom of page