Program · 12 months · Application only
In twelve months you go from one phone clip to a 3D skeleton and joint angles you can defend, with the checks that say when not to trust them, built and shipped as working tools.
You write some R or Python and want to build the tools performance staff use: pose from video, workload and injury models, and the apps that carry them.
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.
Data handling and machine learning in both languages, so every later quarter starts from working code.
Portfolio project, mentor-reviewed. A cleaned, documented dataset and a first model on it, reviewed line by line.
Hierarchical models, aging curves and missing data: the modeling a performance department is asked for.
Portfolio project, mentor-reviewed. A player model with honest uncertainty, written up for a reader who does not code.
From a single clip to a skeleton, an avatar and joint angles, with the verifier that says when not to trust them.
Portfolio project, mentor-reviewed. The 3D pipeline run on a clip of your own, with every number carrying its band.
An app a staff can use at the same time, automated and packaged so it runs anywhere.
Portfolio project, mentor-reviewed. Your quarter 3 pipeline behind an app, deployed, 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.
Paul SabinPhD · Co-Founder @ Sage Sports Group
Patrick McFarlaneDirector of Predictive Modeling @ Philadelphia Phillies
Scott SpencerPhD · Lecturer, Applied Analytics @ Columbia University
Chris FonnesbeckPhD · Biostatistics @ Vanderbilt University Medical Center
Greg MatthewsPhD · Director, Center for Data Science and Consulting @ Loyola University Chicago
Nic CranePhD · Consultant @ NC Data Labs
Veerle Eeftink-van LeemputDirector @ Hypebright B.V.
Jasmine DalyPrincipal Consultant @ Daly Analytics
Stefan LinnerFounder & R Developer @ LinneRProgrammingYou take a clip you have the right to use and run it through the pipeline from the 3D Athlete workshop: skeleton, avatar, joint angles with their bands. You write the checks first, record which ones pass and which ones fail, and build a one-page readout that shows a coach only the numbers you can defend. Your mentor reviews the code, the checks and the readout 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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Confirmed
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.
