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DTSTART:20180101T000000
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DTSTART;VALUE=DATE:20191125
DTEND;VALUE=DATE:20191129
DTSTAMP:20260423T184613
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SUMMARY:Short course on Basketball Data Science
DESCRIPTION:Short course on BASKETBALL DATA SCIENCE by Dr. Marica Manisera (University of Brescia) Saw20117 \nAUEB Sports Analytics Group announces a short course on \nBASKETBALL DATA SCIENCE\nby Dr. Marica Manisera (University of Brescia) \nDAY 1\n14.15-17.00 Monday 25/11/2019 (AUEB New Building\, Room T102\, 1st Floor)\nLecture 1\n***   Data science in basketball\n***   Basketball analytics: state of the art\n***   Basketball data\n***   Introduction to the R package BasketballAnalyzeR \nDAY 2\n14.15-17.00 Tuesday 26/11/2019 (AUEB New Building\, Room T102\, 1st Floor)\nLecture 2\n***   Basic statistical analyses using BasketballAnalyzeR (1/2)\n***   Pace\, Ratings\, Four Factors\n***   Graphical representations\n***   Variability analysis\n***   Inequality analysis \n​DAY 3\n15.15-18.00 Wednesday 27/11/2019 (AUEB Postgraduate Building\, Room 609\, 6th Floor)\nLecture 3\n***   Basic statistical analyses using BasketballAnalyzeR (2/2)\n***   Shot charts\n***   Discovering Patterns in data \nDAY 3\n15.15-18.00 Thursday 28/11/2019 (AUEB Postgraduate Building\, Room 901\, 9th Floor)\nLecture 4\n***   Finding groups in data\n***   Assignment of exercises to solve \nBibliography \nPaola Zuccolotto and Marica Manisera\, Basketball Data Science. With Applications in R. CRC Press\, forthcoming. \nMarco Sandri\, Paola Zuccolotto\, and Marica Manisera (2019). BasketballAnalyzeR: an R package for the analysis of basketball\ndata. https://github.com/sndmrc/BasketballAnalyzeR \nMarco Sandri\, The R package BasketballAnalyzeR\, in: Zuccolotto P. and Manisera M.\, Basketball Data Science\, forthcoming\,\nChapter 6. \nMarica Manisera\, Marco Sandri and Paola Zuccolotto (2019)\, BasketballAnalyzeR: the R package for basketball\nanalytics. Proceedings of the Conference Smart Statistics for Smart Applications (SIS 2019)\, Università Cattolica del Sacro Cuore\, Milan\, 19st-21st June 2019\, 395 – 402. \nCourse Details\nThe Course will be limited to 40 people. Register here: https://aueb-analytics.wixsite.com/saw2019/registration \n​All participants must bring their own laptops fully charged with R and  the R package BasketballAnalyzeR already installed. \nHow to install it: https://bdsports.unibs.it/basketballanalyzer/\nFor any problem\, please write to basketball.analyzer.help@gmail.com
URL:https://www.euro-online.org/websites/orinsports/event/short-course-on-basketball-data-science/
LOCATION:AUEB\, Athens\, Greece
CATEGORIES:Workshop
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