AthlyticZ Membership | Founding Member Access
Founding Membership · 250 Spots

A membership for people who ship statistics, data science, and AI.

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.

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Your Instructors

Learn from people who do the work — and ship it for a living.

Michael Czahor
Michael Czahor, PhD
Principal Data Scientist, AI · Broadata
Veerle van Leemput
Veerle van Leemput
Shiny · Production R
Scott Spencer
Scott Spencer, PhD
Bayesian · Columbia · Nottingham F.C.
Paul Sabin
Paul Sabin, PhD
Statistics · Wharton
Nic Crane
Nic Crane, PhD
LLMs · Apache Arrow
Christoph Scheuch
Christoph Scheuch, PhD
LLMs · Quant Research
Pat McFarlane
Pat McFarlane
Python · Phillies
Greg Matthews
Greg Matthews, PhD
Statistics · Loyola Chicago
Charlotte Hadley
Charlotte Hadley
Data Viz · Visible Data
David Granjon
David Granjon, PhD
Shiny (Advanced) · Cynkra
Saiem Gilani
Saiem Gilani
APIs · SportsDataverse
Amrit Vignesh
Amrit Vignesh
Intro Analytics · Princeton ORFE
Stefan Linner
Stefan Linner
Shiny · DevOps
Arkadi Avanesyan
Arkadi Avanesyan
Quant · Coursera Educator
Deepansh Khurana
Deepansh Khurana
APIs · R/Python · Open Source
Joseph Barbier
Joseph Barbier
Python · R · Open Source

16 instructors. 6 countries. One membership.

The Approach

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.

Inside the Platform

Live instruction. Real work. Every week.

A 15-second look at what membership feels like.

Bayesian Fitness-Fatigue Modeling in Stan with Scott Spencer
This Week's Free Lesson

Bayesian modeling with 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 lesson
What's Inside

Four pillars. One membership.

Everything you need to go from curious to production-ready.

1,000+
Async Lessons
R, Python, Bayesian modeling, three levels of Shiny, ML pipelines, LLMs in R, and more. Each built by a practitioner who ships production code.
120+
Live Sessions / Year
Monthly masterclasses from pro front offices, R1 universities, and top consulting firms. All recorded for lifetime replay.
365
Days of Posit Workbench
Full year of enterprise cloud compute, Positron IDE, AI assistant, and Data Explorer. Same platform Fortune 500 data teams use.
20%
Off Every Workshop
Multi-day intensives and cohort programs with real data alongside expert instructors. Lifetime replay on every session you attend.
Why a Membership

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.

i.

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.

ii.

10+ live sessions monthly

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.

iii.

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.

iv.

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.

Concrete Capabilities

What you'll actually be able to do.

Six months in, here's what members can build, ship, and defend in production.

i.

Ship production Shiny apps

Reactive dashboards, mobile-first interfaces, custom JavaScript bindings, Docker deployment. From prototype to production.

ii.

Write hierarchical Bayesian models

Partial pooling for player evaluation, posterior predictive checks, Stan and PyMC with diagnostics and uncertainty quantification.

iii.

Deploy ML pipelines with validation

Feature engineering, temporal train-test splits, calibration, monitoring. The same workflows running in pro front offices today.

iv.

Integrate LLMs into R and Python

Tool-calling with ellmer, RAG with ragnar, structured output extraction, production deployment. Modern AI infrastructure.

v.

Build analytics APIs and pipelines

Webscraping, SportsDataverse integration, production ETL, versioning, scheduled refresh. Clean data flowing into clean models.

vi.

Create publication-quality reports

Quarto, gt() tables, ggplot2, publication-ready visualizations. Stakeholder-ready deliverables that actually get read.

For Analytics Teams

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.

Inquire About Group Rates

Volume pricing from 10 seats · [email protected]

Founding Member · 250 Spots
$2,999/yr

$3,599 at launch · Rate locked through 2028

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Monthly Session Topics

A growing catalog of what's actually shipping.

TidyverseShiny AppsPython DSBayesian / Stan / PyMCMachine LearningLLMs in RData VizD3.jsSports AnalyticsAPIs & WebscrapingGit WorkflowsAI PrototypingQuartoCausal InferenceSQLFinance / QuantInterview PrepMobile Apps
Official Technology Partner

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 Access

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.

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AthlyticZ Masterclass — Founding Member Annual Membership