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Data Analysis

Build skills. Leave with proof.
Turn raw data into clear insights. Follow a practical path from your first spreadsheet to a portfolio you can share.

Entry: Beginner / No coding6 core stages1 optional extension90–109 hours
Learn at your own pace

Start with the foundations, practise each capability in context, and use every milestone to produce evidence you can explain and defend.

Your roadmap

7 focused stages

Understand how organizations use quantitative evidence, frame commercial questions, and maintain data ethics.

Core topics & frameworks

  • Business questions
  • Data types (numerical vs categorical)
  • Data quality & anomalies
  • Privacy & ethics (GDPR basics)

Recommended resources

  • “Thinking with Data” primer — Max Shron
  • Ed3Hub Interactive Ethics Sandbox Module
  • Harvard Business Review: Anatomy of a Good Metric

Ready to validate your craft?

Build verifiable proof of work, one milestone at a time.

Explore the full roadmap now. Enrollment, progress tracking, peer review, and deliverable submission will follow in the connected learner phase.

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