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Λέσχη Φίλων Στατιστικής - GrStats forum
Short Course BASKETBALL DATA SCIENCE @ AUEB SAW2022  Forumgrstats
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Short Course BASKETBALL DATA SCIENCE @ AUEB SAW2022  Empty Short Course BASKETBALL DATA SCIENCE @ AUEB SAW2022

Fri 13 May 2022 - 23:54
Short Course BASKETBALL DATA SCIENCE @ AUEB SAW2022  Course10

The Sports Analytics Group of the Department of Statistics of Athens University of Economics & Business (AUEB)

announces the short course on

BASKETBALL DATA SCIENCE

as a part of the

6th AUEB Sports Analytics Workshop (AUEB SAW2022)

​The course will be delivered by Professor Paola Zuccolotto and Professor Marica Manisera from University of Brescia, authors of the best seller book with the same title.

The course will be hosted in a hybrid form (virtual and live) at AUEB, Athens (Greece) on the evenings of Monday 23rd and Tuesday 24th of May 2022 (Day 1 ~12.00-16.00, Day 2 14.00-18.00, Greek time, EEST (Eastern European Summer Time), GMT+3).

Course Program

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

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.

Early registration will be available until Sunday 15 May 2022.

Web-page of Basketball Data Science course@SAW2022 is available here https://aueb-analytics.wixsite.com/saw2022/short-course

Apply now here https://aueb-analytics.wixsite.com/saw2022/registration

Limited positions are available for live attendance.
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