Short Course On

Basketball Data Science

  • Marica Manisera (University of Brescia)

  • Paola Zuccolotto (University of Brescia)

DAY 1 

12.00-16.00 Monday 23/5/2022 (Hybrid)

Lecture 1 

  • Data science in basketball

  • Basketball data

  • Introduction to the R package BasketballAnalyzeR

  • Basic statistical analyses using BasketballAnalyzeR (1/2)

DAY 2

14.00-18.00  Tuesday 24/5/2022 (Hybrid))

Lecture 2

  • Basic statistical analyses using BasketballAnalyzeR (2/2)

  • Discovering Patterns in data

  • Finding groups in data

Bibliography

  • Paola Zuccolotto and Marica Manisera, Basketball Data Science. With Applications in R. CRC Press, 2020.

  • Marco Sandri, Paola Zuccolotto, Marica Manisera (2020), BasketballAnalyzeR: Analysis and Visualization of Basketball Data. R package version 0.5.0. https://CRAN.R-project.org/package=BasketballAnalyzeR

  • Marco Sandri, The R package BasketballAnalyzeR, in: Zuccolotto P. and Manisera M., Basketball Data Science, 2020,  
    Chapter 6.

  • Paola Zuccolotto, Marica Manisera, Marco Sandri (2021), Alley‐oop! Basketball analytics in R, Significance, 26-31 https://doi.org/10.1111/1740-9713.01507

Register here.

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. 

The live participation will be limited to 50 participants. 

 

Contact

groupsportsanalytics@gmail.com

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AUEB SPORTS ANALYTICS WORKSHOP 2022
hybrid conference
26-27 May 2022, Athens (Greece)
Basketball data science course 23-24 May 2022