Path overview
In this path, you’ll learn how to use dbt to transform raw data into analytics-ready datasets. You’ll go from foundational dbt concepts through production patterns including incremental models, testing, and deployment workflows — all through hands-on, real-world scenarios.
Key skills
- Transforming raw data into analytics-ready datasets using dbt
- Writing tests and documentation for dbt models
- Deploying production-ready dbt transformation workflows
Path outline
Data Transformation with dbt [1 course]
Course 1: Data Transformation with dbt 8h
Course Objectives- Understand dbt's role in the modern data stack and analytics engineering workflow
- Build transformation pipelines using models, refs, and automatic dependency management
- Implement data quality testing and generate interactive documentation
- Optimize performance with incremental models while understanding their tradeoffs
- Apply production patterns including macros, packages, and environment isolation
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