Programs

A week-by-week plan, not a reading list.

Each program is a defined stretch of weeks with skills attached to them, deliverables that exist at the end of each phase, and a capstone you can defend in a room. Built from the sessions and courses on this site, in an order.

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No job is guaranteed. We do not promise placement, an interview, or an offer.

The programs

Four specialisms.

Same structure in every one: foundations, applied builds, then a capstone. What changes is what you build.

Where you are now
16 weeks · Enrolling

Quantitative Modeling in Sport

Analysts and researchers who want modeling work they can defend in a technical conversation, from clean analysis through full Bayesian workflows.

See the plan
16 weeks · Enrolling

Shiny Engineering for Sport

R users who want to ship production-grade applications rather than one more dashboard prototype that never leaves a laptop.

See the plan
16 weeks · Opens later

LLM Tools for Sport

Data scientists who want to build, evaluate, and ship LLM-powered tools rather than prompt them.

See the plan
16 weeks · Opens later

Production Data Science

Analysts moving from notebooks to pipelines, packages, and deployed systems that survive contact with production.

See the plan
Not ready for those yet

Start on the on-ramp.

One program below the four, for people coming in without the foundations. Deliberately multi-language, because sports analytics runs on both Python and R and choosing a side this early is a mistake.

Starting out
12 weeks · Opens later

Foundations in Both Languages

People starting out, or coming from another field, who want the foundations in both working languages before choosing a specialism.

See the plan
A school year · For families

The High School Masterclass

A live session every week in real data science, for high school students, ending in a portfolio they can show.

See the year
What every program carries

The parts that do not change by track.

Every program runs the same spine. Simulated technical interviews are recorded and reviewed rather than described. Front-office presentation practice puts a recommendation in front of a room that will push back on it. An end-to-end git workflow with QA gates runs from week one, because reviewable work is a habit and not a module. AI orchestration covers planning work for delegation, delegated builds, and the checks that catch what a model got wrong.

There is no public price and no checkout. Each program starts with a short call about where you are now and whether this is the right route, and the honest answer is sometimes that one session or course is the better start. The postings we are reading now, and the sessions that answer them, are on the jobs board.

Questions about any of them go to the same place.

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Keep up

One email when something new arrives.

First name and email. One message when a session recording, a skill, a cheat sheet or a posting worth your time arrives here, and no other mail. Replies reach a person.