1,000+ async lessons. 120+ live masterclasses every year. Enterprise tools included. Built by practitioners across pro sports front offices, R1 universities, and leading consulting firms.















16 instructors. 6 countries. One membership.
We use sports analytics as the engaging lens — because nothing teaches statistics, machine learning, and AI faster than a domain people care about. The same Bayesian models that evaluate athletes also price options, target customers, and diagnose patients. The same LLM workflows that scout prospects also power production AI everywhere data lives.
The skills transfer. The engagement is the unfair advantage.
A 15-second look at what membership feels like.
Bayesian Fitness-Fatigue Modeling in Stan. Live-code the Banister impulse-response model on real cycling power data — difference equations, informative priors from exercise science literature, Student-t likelihoods, posterior predictive checks. Taught by Scott Spencer (Columbia / Nottingham Forest F.C.). No signup. No email gate. Just the work.
Watch the lessonEverything you need to go from curious to production-ready.
A Python ML course bought two years ago uses outdated pipelines. A Bayesian tutorial recorded last summer missed the latest PyMC release. Static purchases go stale. Membership keeps you current.
New modules, techniques, and case studies shipped as the field evolves. LLM tooling, new PyMC releases, latest Shiny capabilities, Posit platform updates. Members see them the day they launch.
Every month your team is learning what's actually working right now in pro front offices, not what was working when the course was recorded. Real problems, real solutions, real-time.
An analyst attends a masterclass, shares insights in Slack, and the whole team levels up. Individual course purchases don't create that flywheel. Membership does.
Enterprise Posit Workbench stays current with the platform. No local setup drift. No "works on my machine" debates. Everyone codes in the same managed environment.
Six months in, here's what members can build, ship, and defend in production.
Reactive dashboards, mobile-first interfaces, custom JavaScript bindings, Docker deployment. From prototype to production.
Partial pooling for player evaluation, posterior predictive checks, Stan and PyMC with diagnostics and uncertainty quantification.
Feature engineering, temporal train-test splits, calibration, monitoring. The same workflows running in pro front offices today.
Tool-calling with ellmer, RAG with ragnar, structured output extraction, production deployment. Modern AI infrastructure.
Webscraping, SportsDataverse integration, production ETL, versioning, scheduled refresh. Clean data flowing into clean models.
Quarto, gt() tables, ggplot2, publication-ready visualizations. Stakeholder-ready deliverables that actually get read.
One membership for the whole team. Full catalog, year-round live programming, enterprise tools, unified learning paths. The data training stack that compounds quarter over quarter.
120+ masterclasses per year means your team stays current without you having to build a training program. Point them at the schedule and they level up.
Everyone learns from the same practitioners using the same workflows. No more analyst silos with different conventions.
Senior analysts on Team Pro with Posit Workbench. Junior staff on Team without. Pay for what each seat needs.
Posit Workbench (Pro tier) means your team codes in managed cloud environments. No IT tickets, no local config drift.
Volume pricing from 10 seats · [email protected]
$3,599 at launch · Rate locked through 2028
Every member gets a full year of Posit Workbench, the enterprise platform powering data teams at Fortune 500 companies. Enterprise licenses start at $1,000+/year. Members get it included.
Founding member presale: $2,999/yr, rate locked through 2028. Limited to 250 spots. First access drops to the presale list before public launch.