The Complete dbt (Data Build Tool) Bootcamp: Zero to Hero

Learn Analytics Engineering with this dbt™ course covering theory & practice through a real-world Airbnb use case.

The Complete dbt (Data Build Tool) Bootcamp: Zero to Hero
The Complete dbt (Data Build Tool) Bootcamp: Zero to Hero

The Complete dbt (Data Build Tool) Bootcamp: Zero to Hero udemy course free download

Learn Analytics Engineering with this dbt™ course covering theory & practice through a real-world Airbnb use case.

What you'll learn:

Learn to master DBT data build tool online course

  • DBT’s building pieces.
  • This is what the DBT environment looks like: yml files and the way they are organized.
  • Work on making changes from the staging area to the DWH schema.
  • The term used to describe macro, Jinja, and hooks
  • When you write or change code, make sure it works the way you want it to.
  • DVD rental chain went from stg to dwh.
  • Install DBT on a server running Ubuntu and on the DBT cloud.


  • SQL and GIT are nice to have. A relational database and an analytics schema are good to have.


This is the only course you'll need to take to get started with dbt and Analytics Engineering!

Greetings to the MOST COMPLETE, CONTINUOUSLY UPDATED independent dbt (Data Build Tool) software course in the world - as of 2022! This course is both the TOP RATED and the BESTSELLER dbt course on Udemy!

Thank you for joining us for The Complete dbt (Data Build Tool) Bootcamp: Zero to Hero - we are super excited to have you in the course!

The structure of the course is designed to have a top-down approach. It starts with the Analytics Engineering Theory - all you need to know is to put dbt (Data Build Tool) in context and to have an understanding of how it fits into the modern data stack. We start with the big picture, then we go deeper and deeper. Once you learned about the pieces, we are going to shift to the technicalities - a practical section -, which will focus on putting together the dbt “puzzle”. The practical section will cover each and every single dbt feature present today through the construction of a complete, real-world project; Airbnb. This presents an opportunity for us to show you which features should be used at what stage in a given project, and you will see how dbt is used in the industry.


Added Great Expectations and test debugging sections - Sep 2022

Radically simplified Windows installation instructions (no WSL needed anymore)  - Sep 2022

The course is tested in dbt cloud - Aug 2022

Added Modern Data Stack overview - Jun 2022


Among several other topics, the theoretical section puts special emphasis on transferring knowledge in the following areas;

  • Data-Maturity Model

  • Well-functioning Data Architectures

  • Data Warehouses, Data Lakes, and Data Lakehouses

  • ETL and ELT procedures and Data Transformations

  • Fundamentals of dbt (Data Build Tool)

  • Analytics Engineering

  • Modern Data Stack

  • Slowly Changing Dimensions

  • CTEs

Once we understood the theoretical layer and how dbt fits into the picture, we are going to start building out a dbt project from scratch, just as you would do this in the real world.


The practical section will go through a real-world Airbnb project where you will master the ins and outs of dbt! We put special focus on getting everyone up and ready before the technical deep dive, hence we will start off by setting up our Development Environment:

  • MAC Development Environment Setup

  • WINDOWS Development Environment Setup

  • IDE dbt Extension Installation

  • Creation and Activation of Virtual Environments

  • Setting up Snowflake

Once we are ready - among several other technical topics, the following features will be covered;

  • dbt Models

  • dbt Materializations

  • dbt Tests

  • dbt Documentation

  • dbt Sources, Seeds, Snapshots

  • dbt Hooks and Operations

  • Jinja and Macros

  • dbt Packages

  • Analyses, Exposures

  • dbt Seeds

  • Data Visualization (Preset)

  • Working with Great Expectations (dbt-expectations)

  • Debugging tests in dbt

Once the theory and the practical stages are finished, we are going to dive into the best practices and more advanced topics. The course is continuously updated, whenever dbt publishes an update we adjust the course accordingly, so you always be up to date!

Who is this course for?

  • Data Engineers

  • Data Analysts

  • Data Scientists

  • BI Developers

  • BI Analyst

... and anyone who interacts with data lake/data warehouse/data lakehouse or uses SQL!

Course Level Explained (Zero > Hero)

The course doesn't have any expectations about your abilities and starts education from zero. Every exercise is an unavoidable step in your studies. In the same way, don't start an exercise of a superior level without having completed the preceding ones: you will be in difficulty if you do so. Practice is the only way to learn and it cannot be taken lightly. We are going to be next to you along the journey and you have our absolute support!

When the Airbnb project is presented to you, you have to do it in its entirety, without omitting any guidelines and by understanding the objective. A project "almost completely" done is often a project "totally incomplete" for us. Give special attention to detail. Your only reliable source of information regarding the instructions is the pedagogical team, don't trust the "I've heard".

By the time you complete the course, you will be equipped with both a very solid theoretical understanding and practical expertise with dbt. All the fundamentals, dbt features, best practices, advanced techniques and more will be covered in our course, which will make you become a master in dbt. Are you ready? ;)

How to get help?

We just published our initial round of Discussions on Udemy which is the easiest and most efficient way for you to post questions, receive answers, and peruse questions from other students. If you have questions or feedback, please reach out to us!

That about wraps it up for us for now!

Once again, thank you for being a part of this course.

We can't wait to get started with you soon!

All the best,

Zoltan C. Toth

dbt Mark and the dbt logo are trademarks of dbt Labs, Inc.

Who this course is for:

  • Analytics Engineers
  • Data Analysts
  • BI Analysts
  • Data Scientists
  • Data Engineers

Course Details:

  • 5 hours on-demand video
  • 7 articles
  • 15 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Assignments
  • Certificate of completion

The Complete dbt (Data Build Tool) Bootcamp: Zero to Hero udemy courses

Learn Analytics Engineering with this dbt™ course covering theory & practice through a real-world Airbnb use case.
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