Watch the module, complete checks or quiz, and grab starter repos or examples aligned to your track.
Curriculum-Powered Focus Groups: Learn in Courses, Ship in Portfolio
Pair AthlyticZ courses with office hours, Slack accountability, Notion sprints, GitHub and Claude Code reviews. We connect the dots from predictive modeling pipelines to production Shiny and shinyMobile apps that link back to Git.
Focus Group = Course Track + Office Hours
Async modules → weekly tasks
Slack nudges and code review
Notion sprint board
GitHub PRs and releases
Claude Code assist
Learn in courses you pick
Turn lessons into scoped tasks
Get reviewed in Slack and GitHub
Ship portfolio artifacts monthly
The weekly loop
We keep you cycling between learning and shipping so progress compounds and stays visible.
Turn the lesson into a scoped task in your repo. Data, model, API, or UI. We keep scope realistic.
Post progress. Receive inline PR feedback, metrics, and next-step guidance. We enforce reproducibility.
Keep tests and CI green, tag a release, update README, and record a short demo clip for your portfolio.
Your accountability system
Slack for decisions and design notes. Notion for tasks and due dates. GitHub and CI for quality gates.
We answer questions, give quick design direction, and nudge you toward reproducible habits.
Weekly sprints that tie course modules to project work. Clear status, dates, and deliverables.
Reviews focus on tests, naming, structure, and reproducibility. Ship tagged releases and clean READMEs.
Choose your track and we layer office hours on top
Focus groups leverage AthlyticZ courses for the async core and add monthly 1-on-1 or 1-to-8 office hours, with Slack, Notion, GitHub, and Claude Code support between sessions.
Reproducible model pipelines
Data ingest to feature engineering to cross-validation to uncertainty and calibration to model registry to scheduled retraining. We keep seeds, scripts, and CI consistent.
Production Shiny and shinyMobile apps
Modules, caching, async, tests with testthat or shinytest2, Docker, CI/CD, Posit Connect, and mobile PWA builds. Connect UIs to trained models responsibly.
Job alerts and application support
Optional AI job feeds tuned to your background and location. We help track roles, customize materials, and submit with fresh portfolio artifacts.
What you get
Structured courses with cloud labs
Python, R, Stan, Shiny, and ML on real sports data with one-click lab environments and checks.
Monthly office hours and weekly async support
One-on-one or small groups. Slack threads and GitHub PRs keep momentum between sessions.
Portfolio that stands up in interviews
Tagged releases, READMEs that explain decisions, short demo videos, and links back to Git.
Ready to combine coursework with real delivery
Book a quick fit call. We will recommend a track, outline milestones, and show examples of projects that got interviews.