The Industry-Ready Data Scientist Roadmap (2026)

Research-backed, four-track plans from any starting point to hired data scientist — now in 15, 30, and 60-day editions, with a curriculum library spanning MIT OpenCourseWare, Stanford, and the modern industry stack. Live: https://ds-roadmap-one.vercel.app

Not learn-from-zero courses — job-readiness plans. Four parallel tracks run every day: Learn (fill the weakest-link gap), Build (ship deployed portfolio projects), Drill (interview reps), and Hunt (resume, GitHub, referral outreach). Each day ends with a concrete verification check, and progress is saved locally per plan.

Three plans, one engine

• 15-Day — Job-Ready Sprint. For the strong builder converting capability into offers fast. 5 phases, interview-and-portfolio focused.
• 30-Day — The Build Month. For a CS/quant grad or analyst who programs and needs real ML depth, a deployed portfolio, and full interview readiness. 6 phases (Foundations → Classical ML via CS229 → Deep Learning via fast.ai + Karpathy → Production & MLOps → GenAI/RAG → Interview).
• 60-Day — Fundamentals to Hired. The no-shortcuts path, explicitly mapping the real MIT & Stanford curricula across 8 phases: Math Foundations (MIT 18.06 / 18.05) → Python & CS Core (MIT 6.100A / 6.006) + SQL → Classical ML (CS229) → Deep Learning (CS231n / CS224n) → Data Engineering & MLOps → GenAI/LLM/RAG/Agents → Experiments, System Design & Interview → Portfolio & Job Hunt.

Also inside

• Curriculum library — 130+ flagship courses, books, and tools with detailed "what you learn / where it fits" cards, filterable by MIT · Stanford · Industry & Books.
• The 2026 target — role archetypes and the skill checklist hiring actually screens for (interactive, saved to your browser).
• Calibration — what to accelerate past, what never to skip, and the six-point job-ready test.

The content is synthesized from a multi-agent web sweep of the 2025–2026 data-science job market plus the official MIT OpenCourseWare and Stanford course catalogs, production stack, GenAI skills, interview prep, and hiring tactics.

Stack

Next.js 16 (App Router) · React 19 · Tailwind CSS v4 · deployed on Vercel.

Develop

npm install
npm run dev      # http://localhost:3000
npm run build    # production build

Roadmap copy and types live in app/data.ts; the 30/60-day plans and the curriculum catalog are generated data in app/plans.json and app/curriculum.json; the UI is a single client page in app/page.tsx.

License

MIT