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Short course on Basketball Data Science
November 25, 2019 - November 28, 2019
Short course on BASKETBALL DATA SCIENCE by Dr. Marica Manisera (University of Brescia) Saw20117
AUEB Sports Analytics Group announces a short course on
BASKETBALL DATA SCIENCE
by Dr. Marica Manisera (University of Brescia)
DAY 1
14.15-17.00 Monday 25/11/2019 (AUEB New Building, Room T102, 1st Floor)
Lecture 1
*** Data science in basketball
*** Basketball analytics: state of the art
*** Basketball data
*** Introduction to the R package BasketballAnalyzeR
DAY 2
14.15-17.00 Tuesday 26/11/2019 (AUEB New Building, Room T102, 1st Floor)
Lecture 2
*** Basic statistical analyses using BasketballAnalyzeR (1/2)
*** Pace, Ratings, Four Factors
*** Graphical representations
*** Variability analysis
*** Inequality analysis
DAY 3
15.15-18.00 Wednesday 27/11/2019 (AUEB Postgraduate Building, Room 609, 6th Floor)
Lecture 3
*** Basic statistical analyses using BasketballAnalyzeR (2/2)
*** Shot charts
*** Discovering Patterns in data
DAY 3
15.15-18.00 Thursday 28/11/2019 (AUEB Postgraduate Building, Room 901, 9th Floor)
Lecture 4
*** Finding groups in data
*** Assignment of exercises to solve
Bibliography
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
data. https://github.com/sndmrc/BasketballAnalyzeR
Marco Sandri, The R package BasketballAnalyzeR, in: Zuccolotto P. and Manisera M., Basketball Data Science, forthcoming,
Chapter 6.
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.
Course Details
The Course will be limited to 40 people. Register here: https://aueb-analytics.wixsite.com/saw2019/registration
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 protected]