DADataCamp
Introduction to dbt
Intermediate 3 hours English Completion Certificate
About this course
Introduction to dbt covers the concepts and terminology behind dbt, the SQL-based transformation tool that's become standard in modern data stacks, by building an example data warehouse from scratch — creating dbt projects, writing SQL models, defining dependencies with the ref function, using Jinja templates, and generating documentation.
The honest take: this requires real prerequisites — data warehousing concepts, shell basics, and SQL joins — DataCamp isn't being falsely beginner-friendly here. With 2,379 reviews at 4.7 stars, it's clearly a popular entry point into analytics engineering, a role that's grown significantly alongside dbt's own adoption.
What you'll learn
Understand dbt's role in modern data transformation workflows
Create and initialize a dbt project
Write SQL-based dbt models and define dependencies with ref
Use Jinja templates to simplify and parameterize models
Generate dbt documentation for collaboration
Apply dbt best practices for data warehousing
This course includes
3h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
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Instructor
I
Instructor
DataCamp instructor
— learners— courses — instructor rating
Taught by DataCamp's data engineering curriculum team.
Requirements
- Data Warehousing Concepts
- Introduction to Shell
- Joining Data in SQL
Who this course is for
- Data analysts, analytics engineers, and data engineers
- SQL users moving into modern data stack tooling
About this provider
DA
DataCamp
Data science and analytics learning platform. 10M+ learners, hands-on coding exercises.
4.4 trust score
Frequently asked questions
dbt (data build tool) is an open-source tool that helps data teams transform raw data into analytics-ready datasets using SQL — it's become a standard part of the modern data stack.
Requires a DataCamp subscription, from $25/mo, with a free trial available.
About 3 hours across three chapters.
Yes — a basic understanding of SQL is recommended since dbt relies heavily on SQL queries for transformations.
Data analysts, analytics engineers, data engineers, and anyone involved in data transformation and modeling.