Python Fundamentals: Environment Setup & Core Language Basics
Lab · Audit an Order Export Before Anyone Reports From It
Start from zero. Finish with a GitHub portfolio of real Python, SQL and API projects — verified proof — and the base to move into a data-analyst track or your first technical role.
Not lecture notes — shippable work. Every week ends in something you commit to GitHub and can walk an interviewer through, capped by a defended capstone on real Canadian open data.
Minted only by a passing server-graded run — never self-asserted.
A credential of verified skill — not a placement claim. Add it to LinkedIn the moment it's earned.
No local-setup wall: SQL, Python and Git run in the browser. AI drafts, you verify and own every line. Real curriculum, exactly as taught.
Every module is built the same honest way — a guided lecture, a hands-on lab in a real in-browser sandbox, and an AI-twist that trains judgment. A server grader checks the result.
Lab — Build a SQL Decision Pack
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Lab · Audit an Order Export Before Anyone Reports From It
Lab · Track and Share Your Code
Lab · Build a SQL Decision Pack
Lab · Broken Repository Recovery Sprint
Lab · Consume, Normalize, and Serve a Real API
Lab · Timed Midterm Sprint
Lab · Sales Analysis Sprint: Clean, Aggregate, and Visualize Real Orders
Lab · Revenue Analytics Pack: Joins, Groups, and a Stakeholder Memo
Lab · Repeatable Analytics Workflow: SQL Extract → pandas → Report
Lab · Exit Exam Capstone Sprint: Portfolio Project + Technical Defense
Everything runs in the browser first, so you're writing real code in week one with zero setup friction.
Pick a graded, in-browser capstone on a genuine open dataset — clean it, aggregate it, and land one defensible insight. Or elevate a stronger project from Weeks 1–9.
How have local temperatures and precipitation shifted over the past few decades at one weather station? — for a city sustainability team.
Which Toronto civic centre issues the most marriage licences, and how does demand swing by season? — for a service-planning clerk.
How much more does a typical basket of everyday goods cost now than a decade ago? — for a household-budgeting explainer.
Each capstone is a live, server-graded sandbox project — the passing run is what mints your green verified badge. SampleProjects is private, so a "Source" link is expected to 404 when you are logged out.
Career OS gets you interview-ready end to end, and your verified work goes in front of employers through our recruiter portal and a Canadian hiring-partner network we're building now.
Résumé tailoring with an ATS-friendly PDF, a mock interviewer, screener practice, STAR feedback, and an application tracker.
Consent to share, and a recruiter sees your work ranked by verified labs, verified capstones and a skills-coverage band — never a placement rate, interview score, or salary.
On the Mentored plan, submit proof of a job — we verify it and pause your subscription automatically. Not an ISA, not a lump sum.
A sanctioned, conservative entry band for a first analyst role — not a promise, and never a cherry-picked high. We'll publish real graduate outcomes only after we've earned and audited them. No placement stats or testimonials until then.

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49 CAD for Foundation, 59 CAD for Modern Data Analytics.
Everything, plus the team and the access that get you to the interview.
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