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Short Course On
Basketball Data Science​
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Dates: 7-9 May 2025
Location: Online course
Duration: 9 hours in three days (3 hours per date)
Schedule: 14.00-17.00 EEST
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Course Lecturers
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Marica Manisera (University of Brescia)
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Paola Zuccolotto (University of Brescia)​
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Christos Marmarinos (AUEB Sports Analytics Group & Sacramento Kings)
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Program
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Day 1
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Introduction to Basketball Performance indices and metrics
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Data science in basketball
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Basketball analytics: state of the art
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Basketball data
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Introduction to the R package BasketballAnalyzeR
Day 2
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Basic statistical analyses using BasketballAnalyzeR
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Pace, Ratings, Four Factors
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Graphical representations
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Shot charts
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Density plots
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Assist-shot networks
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Day 3
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Analysis of game splits
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From play-by-play data to boxscores
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Analysis of lineups and pairs of players
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Impact of the lineup on a single player’s performance
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Analysis of clutch moments
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Concluding remarks and comments about the material of the course from the manager’s perspective
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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
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All course participants will receive a certificate of attendance if they attend in both four-hour sessions.
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Contact

