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Learning area

Data Engineering

Learn to model, query, store, and transform data into trustworthy analytical datasets.

Prerequisites

Start after Python fundamentals.

What this path covers

  1. SQL and relational thinking
  2. Files, formats, and local analytical tools
  3. Reliable pipelines and orchestration
  4. Analytics engineering and an end-to-end project

Lessons are published in source-reviewed batches with deterministic, local exercises. No hosted account is required.

Start with relational data models