We're rebuilding our free resource library around our Posit Workbench integration. Platform demos, AI prototyping walkthroughs, webinars, guides, and course previews. Check out what's available now, and subscribe for updates.
We're rebuilding our free resources around the Posit Workbench integration launching this summer. Here's what's on the way.
Live sessions on Shiny, Bayesian modeling, Python ML, and sports analytics workflows. Free to attend, archived for replay.
Try the first modules of our most popular courses. Python Foundations, Tidyverse, Bayesian I, and more. No purchase required.
Practical downloads: R vs Python decision guide, sports analytics project starters, Positron setup walkthrough, and the data science toolkit.
Past data challenges with real sports datasets. Try them on your own, compare approaches, and add them to your portfolio.
Technical interview questions from sports analytics, data science, and ML roles. With worked solutions and discussion.
Highlighting tools and packages from the R and Python ecosystem that we use in our curriculum. Tutorials, use cases, and contributor stories.