Short Course On
Basketball Data Science
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Marica Manisera (University of Brescia)
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Paola Zuccolotto (University of Brescia)
DAY 1
12.00-16.00 Monday 23/5/2022 (Hybrid)
Lecture 1
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Data science in basketball
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Basketball data
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Introduction to the R package BasketballAnalyzeR
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Basic statistical analyses using BasketballAnalyzeR (1/2)
DAY 2
14.00-18.00 Tuesday 24/5/2022 (Hybrid))
Lecture 2
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Basic statistical analyses using BasketballAnalyzeR (2/2)
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Discovering Patterns in data
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Finding groups in data
Bibliography
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Paola Zuccolotto and Marica Manisera, Basketball Data Science. With Applications in R. CRC Press, 2020.
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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
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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
