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Build reliable, scalable data pipelines with dbt Fundamentals, a hands-on track designed for data analysts, data engineers, analytics engineers, and anyone working with modern data stacks. You'll start by setting up a dbt project and transforming raw data using SQL models, then progress to building robust ELT workflows with sources, seeds, and snapshots. Along the way, you'll implement testing strategies, generate documentation, and apply advanced dbt features like reusable tests and Jinja templating. By the end, you'll have the practical skills to manage production-grade analytics workflows using dbt with confidence.