AthlyticZ Masterclass | Live data science, every week — $199/mo founding rate
Founding Cohort · 250 Seats · Live Begins July 1, 2026

Live data science, every week, from the people who build the tools you use.

120+ live masterclasses a year. Build alongside the instructor in real time, ask questions live, leave with code that ships. Posit Workbench included on every seat.

Reserve your founding seat — $199/mo

$199/mo founding rate locked 12 months · $279/mo after

Your Instructors

Learn live from 18 practitioners who build the tools you use and ship this work for a living.

PyMC Labs · Apache Arrow · Columbia · Wharton · Loyola · Princeton ORFE · the Phillies · SportsDataverse · and more — with more joining through 2026.

Paul Sabin
Paul Sabin, PhD
Statistics · Wharton
Chris Fonnesbeck
Chris Fonnesbeck, PhD
Bayesian · PyMC Creator · MLB R&D
David Granjon
David Granjon, PhD
Shiny (Advanced) · Cynkra
Pat McFarlane
Pat McFarlane
Python · Phillies
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.
Nic Crane
Nic Crane, PhD
LLMs · Apache Arrow
Christoph Scheuch
Christoph Scheuch, PhD
LLMs · Quant Research
Charlotte Hadley
Charlotte Hadley
Data Viz · Visible Data
Greg Matthews
Greg Matthews, PhD
Statistics · Loyola Chicago
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
Saiprasad Kagne
Saiprasad Kagne
Cricket · Python · BallTrack

18 instructors. 7 countries. More joining through 2026.

Live + Interactive

You're in the room, not the audience.

Every masterclass is moderated, interactive, and built around what you can actually use.

Built alongside, not behind glass.

Open your editor next to ours. The instructor writes the code; you write yours. Stuck? Drop a question in the moderated chat — they answer it live.

Q&A with people who built it.

Every session ends with moderated Q&A. Ask Nic Crane about Arrow internals. Ask Chris Fonnesbeck about PyMC. Direct, in the room, while the work is fresh.

Production, not theory.

Real datasets, production patterns, code built to ship and survive contact with a real repo. You leave each session with something you can actually use.

A Room That Adapts

The calendar isn't fixed — it's yours to shape.

Every month we survey the cohort on what to cover next and build sessions around what members actually need. You're not buying a frozen curriculum; you're joining a room that adapts to the work you're doing right now.

First Wave · Confirmed Sessions

10 live sessions a month. Here's what's locked in.

Each month opens up 10 live masterclass slots. Ten are already confirmed across the first three months — alongside another 20 slots filling in week by week. As a founding member you're here at the start: you'll watch the calendar fill in, and you get a say in what gets added.

July 2026
Launch · 4 of 10
Jul 15 · Wed
Stop Making Boring Charts: Interactive Data Viz in R
Charlotte Hadley — Visible Data
17:00 CEST · 11:00 ET
Jul 20 · Mon
APIs All Along: Analysis, Architecture, Automation
Deepansh Khurana — APIs & Data Pipelines
15:00 CEST · 09:00 ET
Jul 21 · Tue
Resampling Methods: Bootstrap, Cross-Validation, and Permutation Tests
Dr. Greg Matthews — Statistics · Loyola Chicago
19:30 CEST · 13:30 ET
Jul 22 · Wed
Choosing and Evaluating LLM Models
Dr. Nic Crane — Apache Arrow · LLMs in R
20:00 CEST · 14:00 ET
+ 6 more sessions this month · shaped by cohort
August 2026
3 of 10
Aug 13 · Thu
Natural Language Data Queries with querychat
Dr. Nic Crane — Apache Arrow · LLMs in R
15:00 CEST · 09:00 ET
Aug 18 · Tue
Regularized Regression: Ridge, Lasso, and Elastic Net
Dr. Greg Matthews — Statistics · Loyola Chicago
17:00 CEST · 11:00 ET
Aug 19 · Wed
Tables in R: They Don't Have to Be Square
Charlotte Hadley — Visible Data
17:00 CEST · 11:00 ET
+ 7 more sessions this month · shaped by cohort
September 2026
3 of 10
Sep 9 · Wed
From Unstructured Text to Tidy Data
Dr. Nic Crane — Apache Arrow · LLMs in R
15:00 CEST · 09:00 ET
Sep 15 · Tue
Networks and Graphs in R: Not Just for Social Networks
Charlotte Hadley — Visible Data
17:00 CEST · 11:00 ET
Sep 21 · Mon
Missing Data and Multiple Imputation (MICE)
Dr. Greg Matthews — Statistics · Loyola Chicago
19:30 CEST · 13:30 ET
+ 7 more sessions this month · shaped by cohort

10 live slots per month. Instructors and topics are confirmed two weeks before each session, shaped by what the cohort asks for.

Can't make it live? Every session is recorded · 30-day replay window.

Join the first cohort — every session above is yours.

Reserve your founding seat — $199/mo

Founding rate locked 12 months · cancel any time

What's Included

Every seat gets everything live, plus the platform to run it on.

120+
Live masterclasses / year
15 min context, 45 min live programming, 15 min moderated Q&A. Project-based, built alongside the instructor in real time.
30
Day replay window
Every session recorded. Miss a live session and rewatch on demand — you keep up even when the calendar doesn't.
$1,000+
Posit Workbench every month
Enterprise R + Python cloud env, pre-configured — the same platform Fortune 500 data teams use. Standalone retail $1,000+/year. Included every month you're a member.
20%
Off every workshop
Multi-session deep-dive workshops are sold separately — masterclass members get 20% off whenever they want one.
Posit
Posit Workbench is included every month you stay a member. R + Python + every package pre-configured. The same enterprise environment that powers data teams at Fortune 500 firms — yours, as long as you're in the cohort.
Topic Breadth

Every month, something new — here's the range.

Rotating topics from the bench. Pick what's useful, replay the rest.

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

What $199 a month actually buys you.

< one hour
of private tutoring — per month, for the entire instructor bench.
~ one ticket
to a mid-tier conference — for a full year of weekly live sessions.
$1,000+
Posit Workbench retail value — included every month you're a member.

Live time with the bench above. Posit Workbench every month. A calendar shaped by you and the cohort. There isn't another way to buy this combination — and the $199 founding rate only exists until the cohort fills.

Founding Cohort · 250 Seats

Live programming begins July 1, 2026.

Founding rate locks $199/mo for 12 months. After the founding cohort closes, the rate steps to $279. Reserve your seat before the cohort fills.

Reserve your founding seat — $199/mo

Cancel any time · 30-day replay on every session

Want the Full Library Too?
Membership is Masterclass paid annually.

Every live session above, plus all 10+ courses and 1,000+ async lessons unlocked. One annual commitment, everything included.

See Membership
FAQ

Quick answers.

Masterclass is the live program — 120+ live sessions a year, moderated Q&A, Posit Workbench included, 30-day replays. Billed monthly at the $199 founding rate.

Membership is the same live program plus the full async catalog — every course, every lesson (1,000+), every update. Billed annually. See Membership →
Yes. The founding rate is month-to-month — cancel any time from your member dashboard. Your seat remains active through the end of the billing cycle you paid for.
Every masterclass is recorded. You get a 30-day replay window on every session — watch live if you can, rewatch on demand if you can't, or do both.
That's fine — the recording lands in your replay library within 24 hours, and stays there for 30 days. Many members watch live for the moderated Q&A and rewatch the build at their own pace.
No. Posit Workbench is included and pre-configured — R, Python, and every package the instructor uses are ready in your environment from session one. First time you log in, you can code along.
Working data professionals: analysts, quants, R/Python developers, sports analytics staff, applied scientists — anyone who needs to stay current on Bayesian, LLMs, and production tooling and would rather learn from people who ship this stuff for a living. Strong students welcome too.