Short Course on
BASKETBALL DATA SCIENCE
14.15-17.00 Monday 25/11/2019 (AUEB New Building, Room T102, 1st Floor)
Data science in basketball
Basketball analytics: state of the art
Introduction to the R package BasketballAnalyzeR
14.15-17.00 Tuesday 26/11/2019 (AUEB New Building, Room T102, 1st Floor)
Basic statistical analyses using BasketballAnalyzeR (1/2)
Pace, Ratings, Four Factors
15.15-18.00 Wednesday 27/11/2019 (AUEB Postgraduate Building, Room 609, 6th Floor)
Basic statistical analyses using BasketballAnalyzeR (2/2)
Discovering Patterns in data
15.15-18.00 Thursday 28/11/2019 (AUEB Postgraduate Building, Room 901, 9th Floor)
Finding groups in data
Assignment of exercises to solve
Paola Zuccolotto and Marica Manisera, Basketball Data Science. With Applications in R. CRC Press, forthcoming.
Marco Sandri, Paola Zuccolotto, and Marica Manisera (2019). BasketballAnalyzeR: an R package for the analysis of basketball
Marco Sandri, The R package BasketballAnalyzeR, in: Zuccolotto P. and Manisera M., Basketball Data Science, forthcoming,
Marica Manisera, Marco Sandri and Paola Zuccolotto (2019), BasketballAnalyzeR: the R package for basketball
analytics. Proceedings of the Conference Smart Statistics for Smart Applications (SIS 2019), Università Cattolica del Sacro Cuore, Milan, 19st-21st June 2019, 395 – 402.
The Course will be limited to 40 people. 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 email@example.com
All course participants will receive a certificate of attendance if they attend three out of the four sessions.