Problem framing
Translate a business ask into a dataset, a target, and a success metric you can defend.
Training program
Applied statistics, Python, and machine learning on problems a business will actually ship — not research theatre.
What you get
Translate a business ask into a dataset, a target, and a success metric you can defend.
Pandas, scikit-learn, and evaluation — enough to ship, not a research stack.
Accuracy is rarely enough. You will choose and explain the metric the decision needs.
The mistakes that make a demo look brilliant and a production model useless.
What the model does, where it fails, and what a manager should do with the score.
A capstone you can walk through without hiding behind jargon.
How we work
Core concepts, clean habits, and the shortcuts that save hours before any advanced work begins.
Live exercises on realistic datasets with a trainer in the room — not a silent video library.
Assignments mapped to the files and questions you actually face in your role.
Feedback on your work, not just a score. You see what to fix before the next session.
A portfolio piece employers can review: a dashboard, model, pipeline, or analysis pack.
Interview prompts, a walkthrough of your project, and guidance on how to talk about the work.
Client stories
They killed my first “clever” model in review. The second one I could actually explain.
I came from Excel. The framing module mattered more than the algorithms.
Interviewers asked about leakage. I had a real example from class.
Help centre
No. We emphasise applied projects and interview-ready explanations. Deep learning is only used if the problem needs it.
Live sessions with recordings for revision. Corporate batches can be scheduled to your team’s timezone.
Yes, after you complete the capstone. The project is the part hiring managers actually look at.
Yes. We run private corporate batches on your files when that is more useful than public examples.
You get the recording and can book a short catch-up with the trainer during the cohort.
Ask about the next data science cohort or a scoped workshop for your analytics team.
Contact us