Learn the work from the people doing the work.

AthlyticZ teaches production data science through sport. The sport is the hook. The skill is the point.

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Sessions

Fifteen sessions from the 2026 line-up, each a recording you buy once.

Every one is a working practitioner showing the method the way they use it in the job. Buy a session and the recording is sent to your account.

Membership

Every live room, and the whole catalog, for a year.

The live platform and the self-paced catalog together, in one purchase, for the full year. Every live session, every course, every session recording we keep. You keep every session recording for as long as your membership is active.

$2,999 a year Get Membership

Working with a team rather than for yourself? We also build and teach inside organizations: Consulting.

Where the work leads

The clubs name the languages. The catalog teaches them.

Three current public postings from MLB clubs, read on the date shown, with the band each one printed.

Public postings, Tier A, read on the date shown
EmployerTitleBand, as postedStack namedDate read
Cleveland Guardians Data Scientist $60,000 - $125,000 annually Python, R read 2026-10-15
Boston Red Sox Senior Data Scientist, Baseball Analytics $100,000 - $140,000 SQL, R or Python read 2026-10-15
Seattle Mariners Intern, Data Science (Baseball Operations) $23 per hour, anticipated pay for this seasonal role R, Python, Julia read 2026-10-15

Reviewed 2026-10-15, next review January 2027.

The postings above name Python, R, SQL and Julia in their requirement lines. Those are the languages the catalog teaches.

These are public postings from third-party employers, read on the date shown. They are not an offer, a projection, or a promise of employment.

Data scientists, all industries: median annual wage $120,230. Labelled all industries, not sports. U.S. Bureau of Labor Statistics, Occupational Outlook Handbook, Data Scientists, May 2025, read 2026-10-15.

What people who hire say

The people on the other side of the table.

Brad Smith, PhD
Brad Smith, PhDSenior Performance Analyst, University of NebraskaSports Analytics Professor, Data Science Program, NorthwesternPlayer Development Analyst, New York Yankees 2018-2021
I've always been intrigued by the intersection of sports analytics and data science. AthlyticZ provides students with the perfect platform to explore this passion. The hands-on projects are particularly empowering, allowing them to apply theoretical concepts to real-world scenarios.
Bill Geivett, M.Ed.
Bill Geivett, M.Ed.President, IMA TeamAuthor, Do You Want to Work in Baseball?Sr. VP, Colorado Rockies 2001-2014Asst. GM, Los Angeles Dodgers 1998-2000
AthlyticZ has completely transformed the learning approach to data science through the use of sports-based problems. The instructors are the best of the best, and the practical projects have immediate impact to students.
Trimmed with permission.
Adam Unes
Adam UnesSenior Director, Analytics, Excel Sports Management
The sports industry moves fast. Managing the pace of evolving technology, data, and AI isn't optional - it's imperative. Our Analytics team was looking for a partner to meet us where we are, to help us in the continued investment of our people and capabilities without pulling us away from the work that matters. AthlyticZ delivers exactly that: a structured, practitioner-led platform that fits how modern sports analytics groups actually operate.
Bryce Murphy
Bryce MurphyDirector of Performance Science and Innovation, IMG Academy
We've teamed up with AthlyticZ to supercharge how we use data science and statistics to impact our sports. More clarity in the numbers means bigger results for our athletes.
From a public LinkedIn post.