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Case Study: Building E-Commerce Data Models with dbt

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4.8+
31 reviews
Updated 05/2025
Learn how to transform raw data into clean, reliable models with dbt through hands-on, real-world exercises.
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dbtData Engineering4 hours7 videos31 Exercises2,750 XPStatement of Accomplishment

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Course Description

Transform raw data into clean, reliable models using dbt (Data Build Tool) - a modern, SQL-based transformation framework used by data teams around the world. This hands-on case study course is designed for early-stage learners who want to build real-world skills through guided, practical exercises. You'll set up your own dbt environment, model data at scale, and write reusable code using dbt's built-in features.

Set Up Your Project and Explore the Data

Get started by setting up a dbt project and working with a real E-Commerce dataset. You'll structure raw data, configure profiles, and debug syntax issues while gaining insight into the business context behind each transformation step.

Build and Validate Models

Learn to create scalable staging models and apply data quality checks to ensure your datasets are accurate and analysis-ready. You'll build a solid foundation for answering key business questions.

Automate with Jinja

Finish the course by learning how to use Jinja to write reusable, maintainable code. You'll use variables, control flow, and loops to follow the DRY (Don't Repeat Yourself) principle to streamline your dbt workflow.

Prerequisites

Data Manipulation in SQLIntermediate dbt
1

Setting up dbt

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2

Building dbt models

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3

Improving dbt with Jinja

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Case Study: Building E-Commerce Data Models with dbt
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Don’t just take our word for it

*4.8
from 31 reviews
87%
6%
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  • Arthur
    2 days

  • Noe
    4 days

    excelent course

  • Andreas
    5 days

  • Valentijn
    5 days

    Thanks!!

  • Massimo
    3 days

  • Roozbeh
    3 days

Arthur

"excelent course"

Noe

Andreas

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