Python Portfolio
A graded, instructor-reviewed deliverable that extends the Python self-study courses and live training cohorts with real, regulated-sector data. Pick the level that matches where you are — buy a sector standalone, or take the trilogy and cover all three sectors at a saving.
Pandas-based analytics with rolling windows, anomaly detection, written findings.
The Applied trilogy — three sectors, one bundle
Take all three regulated UK sectors at this level in one purchase. Best value vs buying standalones — and your final review covers all three projects together so the LinkedIn summary spans the full breadth. Prefer to mix-and-match? Add any 3 portfolio projects across tracks or levels and the same 16% discount applies at checkout.
Python Applied Portfolio Trilogy
3 projectsAll three Python Applied portfolio projects — provider-variance analytics, loss-ratio + reserve-adequacy, parcel-network postcode-adjusted KPIs. Three written findings docs reviewed by the same instructor. Save £78 vs buying standalones individually.
Or pick one sector
Sector standalones are the right fit if you're targeting a specific industry on your CV — pick the regulated sector that matches the role you want.
LogisticsPY Applied — Standalone
1 projectTwelve-month parcel-network performance investigation with postcode-mix adjustment. Direct standardisation, route-level anomaly detection, written findings doc. Feedback within 10 working days.
InsurancePY Applied — Standalone
1 projectTwelve-month loss-ratio decomposition and reserve-adequacy investigation. Pandas-based analytics, channel × cover × incident dimension, written findings doc. Feedback within 10 working days.
HealthPY Applied — Standalone
1 projectTwelve-month NHS provider-variance investigation. Pandas-based analytics, casemix-drift detection, written findings doc reviewed by instructor. Feedback within 10 working days.
Pair with Python training
A Portfolio Project is designed as the next step after a CareerSwerve course or live cohort. Take the training first, then a Portfolio Project turns what you've learnt into a CV-ready, instructor-reviewed deliverable. Add the matching-level course alongside a standalone bundle and the cart takes 15% off the bundle automatically.