AthlyticZ teaches production data science through sport. The sport is the hook. The skill is the point.
Python MachineZ: ML in Sports
Patrick McFarlane
Course$499
Becoming a BayeZian
Scott Spencer
Course$499
Becoming a BayeZian II
Scott Spencer
Course$499
CustomiZing WidgetZ
Veerle Eeftink-van Leemput
Course$399
Mobile StructureZ
Veerle Eeftink-van Leemput
Course$399
ProductioniZing Shiny Applications
Veerle Eeftink-van Leemput
Course$399
SynergiZing ML & LLMs in R
Nic Crane, Christoph Scheuch
Course$499
FoundationZ of Data Science
Evan Callaghan
Course$99
BreeZing Through the Tidyverse
Paul Sabin
Course$99
Three current public postings from MLB clubs, read on the date shown, with the band each one printed.
The career programs point at these roles: AI Engineering, Predictive Modeling, Shiny Engineering, Production Data Science.
| Employer | Title | Band, as posted | Stack named | Date 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.
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.
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.
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.
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.