Master employer-ready R skills with Dr. Paul Sabin from the Wharton School. Learn data wrangling, visualization, and reproducible reporting with real NFL, NBA, and MLB datasets. Cloud labs on Posit Workbench included.
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Wharton School • Former ESPN Analytics
Build a portfolio that demonstrates your ability to transform, analyze, and visualize real-world data.
Master dplyr, tidyr, joins, and production-ready data pipelines.
Create publication-quality graphics with ggplot2 and custom themes.
Build Quarto documents that stakeholders will actually use.
Apply skills on real NFL, NBA, and MLB data for your portfolio.
20 comprehensive modules designed to take you from beginner to job-ready R programmer.
Dr. Paul Sabin brings over a decade of experience in sports analytics and data science education. As a lecturer at the Wharton School and former analytics professional at ESPN, he teaches the R skills that employers actually want. His approach combines academic rigor with practical, real-world applications using data from the leagues you follow.
"Paul is a master data scientist and R programmer. The modeling and coding tips he's taught me are too numerous to count."
"His expertise in R and the Tidyverse is notable, as is his skill in making complex ideas accessible to learners at all levels."
"AthlyticZ has transformed the learning approach to data science through engaging, sports-based problems that resonate with students."
"AthlyticZ provides students with the perfect platform to explore sports analytics with industry-relevant tools and techniques."
This course is the first step in the R & Bayesian Track. Bundle with Becoming a BayeZian I & II and save.
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Master Stan from intro to advanced. 3 months Workbench access included.
Join hundreds of students who've transformed their careers with employer-ready R skills.