New week, new live sessions: Tue 28 July, Joseph Barbier on building reusable Python packages (11:00 EDT / 17:00 CEST) Thu 30 July, Saiprasad Kagne on deploying Python sports apps with Streamlit (09:00 EDT / 15:00 CEST) Free sessions available! Send us a DM and we'll send you the details 🗓️.

This is what a replay looks like on AthlyticZ 🎥. Chris Fonnesbeck’s masterclass on Bayesian modeling with PyMC, summary, materials, and the full session, available 30 days for members. Missed him live? He’s back Wed 12 Aug for MCMC, 17:00 EDT / 23:00 CEST!

Tired of rebuilding the same report by hand? 🤔 @albertrapp.bsky.social’s live workshop Typst for Data Science turns your data into a scripted, self-updating PDF report in one day! Fri 24 July, 09:00 EDT / 15:00 CEST. $399, open to all, members save 20%. 👉🏻 athlyticz.com/workshops/ty...

Next week is busy! 3 live masterclasses for members 😎: Mon 13 July, Chris on Bayesian modeling with PyMC (11:00 EDT / 17:00 CEST) Wed 15 July, Charlotte on interactive data viz in R (11:00 EDT / 17:00 CEST) Fri 17 July, Amrit on EDA with AI in R (13:30 EDT / 19:30 CEST) athlyticz.com/masterclass

Session two of July comes from @veerle.hypebright.nl, the person who built the AthlyticZ schedule and kept our instructors happy and organized ✨. Kick Off with Shiny for Python: 75 min, live World Cup 2026 results, hands-on PyShiny ⚽. Completely free. Fri 3 July, 08:30 EDT. athlyticz.com/launch

Our first live session is free and open to everyone! Michael Czahor (our founder) is opening the doors with Build a Live Scoreboard: a real-time tournament app you control from your phone, driving a big screen live. React, TypeScript, Firebase. 75 mins. No membership needed. athlyticz.com/launch

Charlotte Hadley (founder, Visible Data) is teaching Stop Making Boring Charts: Interactive Data Viz in R, a tour of what htmlwidgets can do for your R plots. Live Wed 15 July, 11:00 EDT (17:00 CEST). One of 10+ live sessions every month included with membership 📊. athlyticz.com/membership

19 instructors. Every month 10+ live sessions. Bayesian modeling, LLMs in R, sports analytics, data viz, Python packaging, deployment, and a lot more. July, August and September are packed with awesome sessions! Full schedule at athlyticz.om 👀 athlyticz.com/membership

Learn Data Science Through Real Projects

Live training. Real cloud environments. Pro tools. Enterprise-grade virtual machines used by Fortune 500 data teams — now accessible to learners.

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10+ live sessions this July: from Python package development to Data Science with Typst and Bayesian Modeling 👀. Masterclasses are for members (+ 30-day replay). Workshops are open to everyone, with 20% off for members 👉🏻https://athlyticz.com/masterclass

Chris Fonnesbeck, creator of PyMC, is teaching his first masterclass with us: A Beginner’s Guide to Bayesian Modeling with PyMC. Live Mon 13 July, 11:00 AM EDT (17:00 CEST). One of 10+ live sessions every month included with membership 🤩. @fonnesbeck.bsky.social athlyticz.com/membership

AthlyticZ Founding Membership · Live Data Science Training

AthlyticZ Founding Membership · Live Data Science Training · 120+ live masterclasses a year. 17 instructors from Columbia, Wharton, Apache Arrow. Posit Workbench included. Founding rate · 250 spots

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Have an R script that works but isn’t pretty? Arkadi Avanesyan’s workshop Refactoring Legacy R with Claude Code helps you refactor it for production. 7 & 9 July, Q&A 14 July. Open to all, members save 20% 👀 athlyticz.com/workshops/ar...

Refactor Legacy R with Claude Code

Take your real R codebase and, with Claude Code as your pair programmer, refactor it for production in just two days.

athlyticz.com

The big AI and data science conferences are some of the best learning that exists. A few times each year where the top people in the field offer hands-on workshops, surrounded by others doing the work.

Data Science & AI Reimagined

Data Science & AI monthly Masterclass series featuring top instructors and practitioners from around the world

athlyticz.com

New masterclass: Choosing and Evaluating LLM Models, live with @niccrane.bsky.social With multiple models available - different providers, different tiers - how do you pick the right one? In this session, you’ll learn to navigate model options and measure what matters using the `vitals` package.

A lot is happening at Athlyticz. Follow along here: athlyticz.com/membership #datascience #rstats #python #llm

AthlyticZ Membership | Live Data Science Training + Posit Workbench

250 founding spots. 500+ Lectures, 10+ live sessions monthly. Full year Posit Workbench + Positron IDE. R, Python, Stan, Shiny, LLMs. July 2026.

athlyticz.com

🏀 9,223,372,036,854,775,808. That's how many possible March Madness brackets exist. 9.2 quintillion. Selection Sunday was yesterday. First Round of 64 tip-off: Thursday, 12:15 PM ET. That's 324,900 seconds to fill out your bracket. But what if we wanted to guarantee a perfect one?

Congrats to AthlyticZ student, Jared Markowitz on winning the MIT @sloansportsconf.bsky.social Hackathon (Open Division). Details on Jared's big win in the link below. A special congrats to his Hackathon partner Jonas Dixon as well! #ssac #SportsAnalytics www.linkedin.com/posts/jared-...

Headed up to Boston this weekend for the 20th MIT Sloan Sports Analytics Conference. Twenty years. Still one of the best weekends on the calendar. I caught up with friends and former colleagues scattered across teams and league offices.

We are so excited to have @veerle.hypebright.nl on board to help lead the way!

Veerle Eeftink - van Leemput@veerle.hypebright.nl · 6mo ago

Can you see the LMS/website behind me? 👀 It’s @athlyticz.bsky.social and I’m excited to share that I’ll be joining the leadership team! Exciting times 🤩. My role will be to help streamline ops, bring in more awesome instructors (lmk if you are one 😎), and help the platform scale! #edtech #rshiny

Excited to share that @cynkra.bsky.social has officially signed on as a Preferred Partner with Athlyticz. 🤝 What does this mean? Our goal is to bring the strongest teams and individuals to our students, people at the forefront of data science tools that we believe can be game-changers in sports.

More physics-constrained Bayesian models lead to another interactive mobile app with my students. Writeup coming soon

Why is AI so slow? Bottlenecks aren't compute; it's memory. towardsdatascience.com/the-stranges... TiDAR = 6x speedup. ⚡ Move from prompts to Infrastructure Eng. #AI #LLM #DataScience #Engineering #Athlyticz

The Strangest Bottleneck in Modern LLMs | Towards Data Science

Why insanely fast GPUs still can’t make LLMs feel instant

towardsdatascience.com

Can anyone guess what we are building for our students?! #data #datascience #sportsanalytics #rstats #python

Spring training is here. Every analytics department has projections and looks at them in different ways. Here's a quick concept app I put together for my students with the Rapid App Prototyping strategies I've been documenting: TLDR, ingest full-season player projections and make them usable.

"A Clockwise Stone Drifts Right. That's Wrong." athlyticz.substack.com/p/a-clockwis... Curling was on TV this weekend. I went down a rabbit hole. Three physics PDFs later, I had a full interactive simulator with Bayesian model comparison running in the browser. #bayesian #curling #olympics

A Clockwise Stone Drifts Right. That's Wrong.

How I Used Three Physics PDFs, a Structured Prompting Loop, and Bayesian Inference to Build an Interactive Curling Simulator over the Weekend

athlyticz.substack.com

Most people use AI to write code. Boris Cherny uses it to build a system that writes code for him. The creator of Claude Code just shared his "Compounding Engineering" setup: x.com/bcherny/stat...

Your research team doesn’t just produce data. It produces knowledge. But where does that go when a researcher moves on? Most teams rely on "Internal Folklore": the stuff that only exists in Slack or one person’s head. The best research teams treat documentation (Notion) as their "Team Memory."

How do you rank 51 F1 drivers when not everyone finishes every race? Crashes happen. Engines fail. Some races have 22 finishers, others have 11. The data is incomplete and messy. Traditional methods choke on this. Elo needs head-to-head pairs. Average finish position ignores who you raced against.

Ranking the Unrankable: How F1 Teams Actually Compare

A Bayesian approach to the messiest data problem in motorsport

athlyticz.substack.com

320 free workshop spots in February. We'll build production D3 visualizations from scratch using Claude, you watch, then carry forward your own projects. This NFL field viz took 15 minutes. 700 lines. Spec-accurate. Students trying to break into sports analytics: this one's for you.

From PDF to Production: Building Broadcast-Quality NFL Visualizations with Claude

Advanced PDF Extraction Prompting

athlyticz.substack.com

Here is a guide for rapid text extraction from structural engineering blueprints of the Taipei 101 building, resulting in an interactive Shiny App of Alex Honnold's ascent. How we prompt in the thread below! #rshiny #rstats #dataviz

The Art of Rapid App Prototyping

How we turned structural engineering PDFs into an interactive climb tracker for Alex Honnold's historic Taipei 101 free solo

athlyticz.substack.com

Scoreboards lie. Probability doesn't. Absolute scores are noisy. We use Bradley-Terry, Elo, and TrueSkill to find the true signal through relative performance. 📈 Stay tuned: Plackett-Luce with Stan hands-on example coming this week. #rstats #python #sportsanalytics #dataviz