Introduction to dbt: Data Modeling for Analysts
About this course
Do you want to learn how to build advanced data models within a data warehouse and become more like a data engineer?The Introduction to dbt: Data Modeling for Analysts course will reach you the fundamentals of the dbt platform and walk you through the exact steps needed to turn raw data into powerful business-ready datasets for analyses and dashboards.The course covers the following topics:Getting started with dbt --> How to set up dbt, connect it to your data warehouse and code repository solution.Building your first data models in dbt --> How to navigate the IDE and start writing SQL-based data models.How to leverage jinga, variables and other advanced funtionality within dbt.How to work with Github, set up jobs in dbt, leverage dbt docs and seeds, and more.At the end of the course you will find a 10 question quiz to help you test your knowledge.The course moves at a slow to medium pace allowing you to take in the key concepts and get to know the fundamentals of dbt. Go through the videos in order and build on your knowledge through each lesson.This 3 hour course will give you the knowledge you need to significantly enhance a data warehouse and provide massive value to your employer or clients.
56/100
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- 32/45
- Who stands behind it
- 8/35
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- 16/20
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What you'll learn
- Setting up dbt and connecting it to a data warehouse
- Writing SQL-based data models
- Utilizing advanced dbt features like Jinja and variables
- Managing projects with GitHub and dbt documentation
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