A membership for people who ship statistics, data science, and AI.
1,000+ async lessons. 120+ live masterclasses every year starting July 2026 — moderated, interactive Q&A and live chat with instructors in every session. Enterprise tools included. Built by practitioners across pro sports front offices, R1 universities, and leading consulting firms.
Learn from people who do the work — and ship it for a living.
17 instructors. 7 countries. On track for 30+ by end of 2026.
Sports is our dataset.
The skills are universal.
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.
Live instruction. Real work. Every week.
A 15-second look at what membership feels like.
Bayesian modeling with Dr. Scott Spencer.
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 lessonEvery topic. Every level. Every tool.
R, Python, Bayesian, ML, LLMs, Shiny, APIs, Performance Science — taught by the people building these tools in production. Beginner through advanced. Every session live, moderated, with real-time Q&A — starting July 2026.
Conference workshops at your fingertips, every month.
Project-based learning from experts in academia and industry. Masterclasses: 15 minutes of context, 45 minutes of live programming, 15 minutes of moderated Q&A. Workshops: multi-session deep dives, sold separately. Click any glowing date to see what's happening.
Refactoring Legacy R with Claude Code
Two-day intensive on AI-native workflows for R. Refactor real legacy codebases using Claude Code, learn the prompting patterns that produce production-quality output, and build a reproducible workflow you can apply to your own projects.
- July 7Day 1 · 5pm–9pm CEST
- July 9Day 2 · 5pm–9pm CEST
Stop Making Boring Charts: Interactive Data Viz in R
Move beyond default ggplot2 outputs. Learn htmlwidgets, dynamic tooltips, and the design principles that make charts worth looking at. Live code-along with real datasets — leave with a portfolio-ready interactive visualization.
Walk away with reproducible code and a new skill — on your own Posit Workbench VM.
APIs All Along: Analysis, Architecture, Automation
The masterclass version of the 4-week deep dive. Build a production-ready API in R and Python, with FastAPI and plumber2, deployment patterns, and the architectural decisions that separate hobby projects from real systems.
Walk away with reproducible code and a new skill — on your own Posit Workbench VM.
Choosing and Evaluating LLM Models
Which LLM should you use for your task? How do you measure model quality without vibes? Live evaluation pipeline build using Posit's ellmer package — covers tool calling, structured output, and the eval framework that scales.
Walk away with reproducible code and a new skill — on your own Posit Workbench VM.
APIs All Along: Analysis, Architecture, Automation (Workshop Series)
The full deep dive. Four sessions across August building real APIs end-to-end. Flask, FastAPI, plumber2, Docker, deployment to Render, CRON automation. By the end you'll have shipped an API to production with your code reviewed live.
- Aug 3Session 1 · Analysis
- Aug 10Session 2 · Architecture
- Aug 17Session 3 · Automation
- Aug 24Session 4 · Deployment
Natural Language Data Queries with querychat
Build a chatbot interface to your data. Live demo of Posit's querychat package, integrating LLMs into Shiny apps so non-technical users can query datasets in plain English. Includes evaluation and guardrails patterns.
Walk away with reproducible code and a new skill — on your own Posit Workbench VM.
Tables in R: They Don't Have to Be Square
Move beyond default tables. Learn gt, reactable, and the design principles for tables that earn their place in a report. Live build of a production-quality table that updates dynamically with new data.
Walk away with reproducible code and a new skill — on your own Posit Workbench VM.
Large Language Models in R
Two-day workshop covering the full LLM stack in R. Tool calling with ellmer, RAG with ragnar, structured output extraction, production deployment patterns. Build a real LLM-powered application that ships.
- Aug 25Day 1 · Foundations
- Aug 26Day 2 · Production
From Zero to Enterprise Deployment to SaaS
Four-session intensive on the full lifecycle of a SaaS data product. Shiny app development, Docker containerization, cloud architecture, shinyProxy for multi-tenancy, monetization patterns, and the operations work that comes after launch. Ship something real.
- Sep 4Session 1 · Build
- Sep 11Session 2 · Containerize
- Sep 18Session 3 · Deploy
- Sep 25Session 4 · Monetize
From Unstructured Text to Tidy Data
PDFs, emails, scraped web content — turning messy text into structured datasets using LLMs. Live walkthrough of extraction pipelines with ellmer, structured output schemas, and quality evaluation strategies.
Walk away with reproducible code and a new skill — on your own Posit Workbench VM.
Networks and Graphs in R: Not Just for Social Networks
Network analysis with igraph and tidygraph. Co-occurrence networks, player passing networks, customer journey graphs. Live build of a network visualization that answers a real analytical question.
Walk away with reproducible code and a new skill — on your own Posit Workbench VM.
Report Every Match Programmatically with Quarto
Two-day workshop on programmatic reporting at scale. Generate hundreds of personalized reports from a single template using Quarto, parameterized rendering, and conditional content. Leaves you with a working reporting pipeline.
- Sep 22Day 1 · Templates
- Sep 29Day 2 · Automation
Every session: live, moderated, with dedicated Posit Workbench VMs — staying current with best practices across statistics, ML, AI, and the broader data science field. Members get the live calendar plus 30-day replays on every session. More sessions added weekly.
Founding rate locked 12 months · 250 spots
Four pillars. One membership.
Everything you need to go from curious to production-ready.
This field moves monthly.
Your training should too.
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.
Continuous content updates
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.
10+ live, moderated sessions monthly
Every session is two-way and staffed with a moderator. Ask questions in real-time Q&A, chat with peers and instructors, watch the work happen as it's coded. Members learn what's actually working in pro front offices right now — not what was working when a course was recorded.
Compound with your team
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.
Always-current infrastructure
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.
What you'll actually be able to do.
Six months in, here's what members can build, ship, and defend in production.
Ship production Shiny apps
Reactive dashboards, mobile-first interfaces, custom JavaScript bindings, Docker deployment. From prototype to production.
Write hierarchical Bayesian models
Partial pooling for player evaluation, posterior predictive checks, Stan and PyMC with diagnostics and uncertainty quantification.
Deploy ML pipelines with validation
Feature engineering, temporal train-test splits, calibration, monitoring. The same workflows running in pro front offices today.
Integrate LLMs into R and Python
Tool-calling with ellmer, RAG with ragnar, structured output extraction, production deployment. Modern AI infrastructure.
Build analytics APIs and pipelines
Webscraping, SportsDataverse integration, production ETL, versioning, scheduled refresh. Clean data flowing into clean models.
Create publication-quality reports
Quarto, gt() tables, ggplot2, publication-ready visualizations. Stakeholder-ready deliverables that actually get read.
$2,999/yr · rate locked through 2028
Built for teams that take training seriously.
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.
Year-round live programming
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.
Unified technical language
Everyone learns from the same practitioners using the same workflows. No more analyst silos with different conventions.
Mixed seat configurations
Senior analysts on Team Pro with Posit Workbench. Junior staff on Team without. Pay for what each seat needs.
Enterprise infrastructure
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]
Two ways to join.
Both tiers include the live program and Posit Workbench. Full Membership adds the complete async catalog of 1,000+ lessons — the choice most founding members make.
$3,599 at launch · Rate locked through 2028
One charge today. Full access through July 2027.
- 1,000+ async lessons across the full catalog
- 120+ live masterclasses per year, starting July 2026
- Moderated Q&A and live chat with instructors in every session
- 30-day replay window on every session
- Enterprise Posit Workbench (full year)
- 20% off all workshops
1,000+ async lessons across R, Python, ML, Bayesian, App Development, Performance Science, and more. At standalone course prices — Becoming a BayeZian I & II ($1,449 each), Python MachineZ ($1,149), ProductioniZing Shiny ($1,149), SynergiZing ML & LLMs in R ($1,149), and more. $10,000+ in catalog content.
$279 today ($80 founding registration + July 2026 first month) · Next charge August 1, 2026
Founding rate locked 12 months. Standard rate $249/mo thereafter.
- 120+ live masterclasses per year, starting July 2026
- Moderated Q&A and live chat with instructors in every session
- 30-day replay window on every session
- Enterprise Posit Workbench (full year)
- 20% off all workshops
- 1,000+ async lessons (not included)
Just $531 more per year unlocks the full $10,000+ catalog.
Not sure yet? Watch a free preview lesson · Group / B2B: [email protected]
A growing catalog of what's actually shipping.
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.
Lock in your founding rate.
Founding member presale: $2,999/yr, rate locked through 2028. Limited to 250 spots. First access drops to the presale list before public launch.