Career Programs
Analysts and researchers who want modeling work they can defend in a technical conversation, from clean analysis through full Bayesian workflows.
Not a reading list. Each phase carries the skills you work on, what exists at the end of it, and what you can do by then.
The analysis layer everything else sits on, and the working habits that make it reviewable by someone other than you.
In these weeksTake a messy sports dataset and produce an analysis another person can clone, run, and get the same numbers from.
Uncertainty done properly, coded rather than called, in both ecosystems the job descriptions name.
In these weeksSpecify a hierarchical model, defend the priors you chose, and show the diagnostics that say whether it worked.
The build, then the two rooms it has to survive: a technical one and a non-technical one.
In these weeksPresent a model to a room that is not technical, and answer the pushback without retreating into jargon.
AI coaching is built into the practice sessions. The coach takes the stakeholder's part, and you work the problem in whatever medium the question actually calls for.
What that means literally: AI coaching built into practice sessions, stakeholder simulation where you present to a general manager and defend a decision to a director, and no-code visual builds alongside code builds, because plenty of the work is a sketch or a plan rather than a script.
AI as copilot, not autopilot. We teach you to direct the machine and defend the output. The part that is scarce is not producing an answer; it is knowing whether the answer is right and being able to say why in a room that will push back.
Named because they are the roles the skills above are used in, not because we are promising you one of them.
These are the roles the work in this program is used in. We describe what you build and what you can do with it, and we do not promise a job, a placement, or an interview.
The part most programs describe and never show. Here is how it actually runs, and the kind of question it runs on.
Practice runs in a timed provisioned environment, the same one the sessions run in. You get a real task and a clock, not a quiz. The session is recorded, and the review afterwards is about the reasoning you showed rather than whether you reached the expected answer.
Scenarios are written the way the question actually arrivesSports is the hook. Hierarchical modeling, uncertainty, and honest inference are the methods, and they are hired for wherever a decision has to be made from noisy, grouped, incomplete data.
One-to-one mentor sessions on your own work, fortnightly through the taught weeks and weekly through the capstone. Simulated technical interviews, recorded and reviewed. Front-office presentation practice, where a recommendation meets a room that pushes back. The Film Room once a month, alternating portfolio teardowns and interview preparation from the hiring side. See The Film Room
Modeling is the live track running alongside the program, so the weekly sessions and the game plan are pulling in the same direction rather than competing for your evenings.
This program is a defined credential pathway culminating in a verifiable digital badge issued through Credly, a Pearson company. We provide completion records. We are not a degree-granting or accrediting institution. If a formal credential is a requirement for you, this complements an accredited pathway rather than replacing it.
There is no public price and no checkout on this page. Programs start with a call, because the honest answer is sometimes that the Masterclass is the better place to begin.
A short conversation about where you are now and whether this is the right route. If it is not, we will say so.
Book an application callEvery live room, the recordings, the code, and the environment, behind one door.
Join the MasterclassSit in on a live session. It is the fastest way to judge any of this.