Program · 12 months · Application only
In twelve months you go from little or no code to building, checking and explaining models and LLM tools on real sports data.
You are starting out, with little or no code yet. You want a year that takes you from the foundations to work you built and can explain.
You are applying for a son or daughter. Apply on their behalf; the first call includes them, and the plan is written for where they are now.
You are developing someone on your staff. The plan is built around your work, and we invoice your company directly.
You finish with four mentor-reviewed portfolio projects, one from each quarter, and the Credly certificate. We do not promise a job, and nobody honestly can.
This is the standard path. Your custom plan starts from it and moves with what you already know. Everything named is in your Membership access.
The foundations in both languages, and a first board built without writing the plumbing.
Portfolio project, mentor-reviewed. A first analysis board on real data, with every step explained in your own words.
Machine learning on sports data, a business question and a player question.
Portfolio project, mentor-reviewed. A first model with a short write-up of what it gets right and what it gets wrong.
Machine learning and LLMs together, plain-language questions over data, and a first agent.
Portfolio project, mentor-reviewed. A tool that answers a question about a dataset in plain language, with a test for when it is wrong.
From a blank file to production, automated and packaged.
Portfolio project, mentor-reviewed. Your quarter 3 tool online, with a short demo you can show.
Michael is the lead and principal mentor of every program, and personally assigns each person a one-on-one mentor from the team. You meet one-on-one every month, with Slack support between, and a mentor reviews your portfolio project each quarter.
PhD · Principal Data Scientist, AI @ Broadata Communications
Teaches the method the way it is used in the role above. The team page lists everything they teach here.
Also teaches Build a 3D Athlete from a Single Photo.
Michael Czahor, Principal Data Scientist, AI at Broadata Communications, holds a PhD. Before that, Michael was Lead Quantitative Analyst with the Phillies, Principal Quantitative Analyst with the Tigers and Special Assistant, R&D with the Marlins. On AthlyticZ, Michael teaches Build a 3D Athlete from a Single Photo.
Their sessions, workshops and courses are on your roadmap. Your one-on-one mentor is assigned by Michael from the team, for the plan you are on.
Nic CranePhD · Consultant @ NC Data Labs
Christoph ScheuchPhD · Associate Researcher @ Humboldt-Universität zu BerlinECEvan Callaghan
Paul SabinPhD · Co-Founder @ Sage Sports Group
David GranjonPhD
Patrick McFarlaneDirector of Predictive Modeling @ Philadelphia Phillies
Greg MatthewsPhD · Director, Center for Data Science and Consulting @ Loyola University Chicago
Saiprasad Kagne
Stefan LinnerFounder & R Developer @ LinneRProgramming
Jasmine DalyPrincipal Consultant @ Daly AnalyticsYou build a small tool that takes a question in plain language and answers it from a sports dataset, the way the Ask the Box Score Anything session does. You write the tests first: questions it must answer, and questions it must refuse. Your mentor reviews the tool, the tests and your explanation of how it works before it goes in your portfolio.
No. Nobody can promise you a job, and we do not. The program is twelve months of mentored work, a reviewed portfolio, interview prep and a clear view of what current postings ask for. What you do with it is yours.
Michael leads the program and is your principal mentor. After your first call he personally assigns you a one-on-one mentor from the team, chosen for the plan you are on. The instructors listed on this page teach the material on your roadmap; they are not all personal mentors.
Fill in the form with their details and say in the last field that you are applying for them. The first call is with both of you.
Yes. Choose Employer under who is funding it, and we invoice your company directly.
$6,000 once, 6 payments of $1,000, or 12 payments of $500. PLUS is priced on request; ask on the call.
Seats are limited each quarter, because every person has a mentor. If the quarter is full, we tell you on the call and offer the next one.
A 20-minute call with Michael, then your custom plan with your one-on-one mentor named. You decide after you have read the plan.
About 3 minutes. It opens right here.
Rather talk first? Book twenty minutes with Michael.
Opening your application.
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Calendly has sent the invitation to your inbox, with the link for the call. Michael will see you then.
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.
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.
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.
