黑料科

The Sports Analytics Group of the Department of Statistics of 黑料科 of Economics & Business (AUEB) announces the short course on

BASKETBALL DATA SCIENCE

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as a part of the

6th AUEB Sports Analytics Workshop (AUEB SAW2022)

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鈥婽he 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听 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).

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Course Program

DAY 1

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

鈥⑻� Data science in basketball

鈥⑻� Basketball data

鈥⑻� Introduction to the R package BasketballAnalyzeR

鈥⑻� Basic statistical analyses using BasketballAnalyzeR (1/2)

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DAY 2

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

鈥⑻� Basic statistical analyses using BasketballAnalyzeR (2/2)

鈥⑻� Discovering Patterns in data

鈥⑻� Finding groups in data

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Bibliography

鈥⑻� Paola Zuccolotto and Marica Manisera, Basketball Data Science. With Applications in R. CRC Press, 2020.

鈥⑻� 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

鈥⑻� Marco Sandri, The R package BasketballAnalyzeR, in: Zuccolotto P. and Manisera M., Basketball Data Science, 2020, Chapter 6.

鈥⑻� Paola Zuccolotto, Marica Manisera, Marco Sandri (2021), Alley鈥恛op! Basketball analytics in R, Significance, 26-31

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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 at the facilities of AUEB.听听