AutomateEdge · Roadmap

Data Scientist Roadmap: Complete 2026 Study Plan

Own the full analytical workflow — from formulating the question and designing the experiment to communicating findings and turning model outputs into business decisions.

The Data Scientist track is for people who want to be the team's analytical engine: the person who designs the A/B test, builds the causal study, writes the SQL that answers questions no dashboard was prepared to answer, and explains the result to a VP in one slide. In 2026, as ML infrastructure commoditised, the Data Scientist role sharpened into applied analytics and experimentation rather than raw model-building. You will graduate this track with a portfolio demonstrating statistical rigor, causal thinking, and the communication skills to make data actually change decisions.
24 weeks 8h / week Free AI-curated

Explore the Data Scientist track

This track is organised as six deep-dive pages. Start with Skills if you are planning your learning; start with Salary if you are weighing a career switch.

Skills matrix →

The concrete skill ladder with 2026-calibrated proficiency targets.

Tools inventory →

Every tool you install in your first year, with hours-to-learn estimates.

Portfolio projects →

10-15 shippable build ideas with GitHub evaluation rubrics.

Certifications →

Free certs worth completing — ranked by employer-signal strength.

Salary bands →

US + regional comp data, 2026 Q1, refreshed quarterly.

Career path →

Entry to principal progression, with pay and promotion markers.

Ready to start?

AutomateEdge gives every learner a free, personalized study plan across the track. The platform tracks your weekly progress, evaluates your GitHub projects against the rubrics shown here, and issues a verifiable certificate when you complete the track.

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