A useful Data Analyst learning plan should be specific enough to execute and small enough to maintain.

Month 1: Core analysis

Focus on SQL, data cleaning, spreadsheet logic and descriptive analysis. Practice on realistic datasets rather than only watching tutorials.

Month 2: Business analysis

Build KPI definitions, investigate a metric change and create a dashboard that answers a defined business question.

Month 3: AI-assisted workflow

Use AI for drafting, debugging, documentation and test generation while keeping validation and decisions under your control.

Track evidence

For every week, record what you built, what you learned, what failed and what you can now explain in an interview.

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