Udemy DBT Course Review: The Complete DBT Bootcamp Zero to Hero Explained

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

★★★★★

$84.99
$15.00  in stock

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Udemy.com

as of December 17, 2025 7:41 am

Become a dbt professional with this ALL-IN-ONE COURSE covering both theory and practice through a real-world project!

Created by: Zoltan C. Toth
Data Analytics Architecture Expert

Created by: Miklos (Mike) Petridisz
Data Engineer & Solutions Architect Expert

Rating:4.53 (7434reviews)     44657students enrolled

What Will I Learn?

• Learn to use the dbt platform professionally through the creation of an exhaustive, real-world, hands-on dbt - Airbnb project covering both Theory and Practice
• Set up the complete development environment on Mac & Windows, Connect to Snowflake and BI, Configure dbt profile, extend the IDE with dbt tools
• Learn core dbt concepts such as Models, Materialization, Sources, Seeds, Snapshots, Packages, Hooks, Exposures, Analyses, write complex SQL queries
• Understand the dbt project structure and learn about dbt tips & tricks, advanced techniques and best practices, extend dbt with your own / third-party macros
• Implement singular and generic dbt tests, work with additional arguments and default config values, customize dbt built-in tests
• Document your models and pipeline, customize the dbt docs page, Explore and analyse dependencies between transformation steps
• Understand how dbt fits into the modern data stack, learn about the stages of the Data-Maturity Model, and well functioning Data Architectures
• Master ETL/ELT procedures, Data Transformations, Modern Data Stack, Slowly Changing Dimensions, Common Table Expressions and Analytics Engineering
• Understand what is a Data Warehouse, Data Lake, or Data Lakehouse and when to use which, handle Data Collection, Data Wrangling and Data Integrations
• See how advanced testing works using dbt-expectations, a Great Expectations inspired testing framework
• Test your knowledge with certification preparation question
• Listen to real-world use-cases from industry professionals
• Learn dbt Orchestration Best Practices Hands On

Requirements

• Basic SQL experience
• No previous programming language experience required
• Working computer (Mac/Windows/Linux)
• Network access whitelist to snowflake(.com) and GitHub if you work behind a firewall or VPN
• Git and Python (We are linking to the installation instructions of these tools in the course)

Target audience

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

Udemy DBT Course Review

Introduction

If you’re searching for a practical, project-based way to master dbt (Data Build Tool) — one of the hottest frameworks in modern data engineering — this Udemy dbt course review will help you decide if The Complete dbt (Data Build Tool) Bootcamp: Zero to Hero is worth your time and investment.

Taught by Zoltan C. Toth, a seasoned data engineer with over two decades of experience, this course has become the top-rated and bestselling dbt course on Udemy. Updated for dbt 1.10, it blends theoretical foundations with hands-on practice through a real-world Airbnb project, making it ideal for aspiring data engineers, analysts, and analytics professionals.

What Makes This Course Stand Out

Unlike other short tutorials, this dbt Bootcamp takes a comprehensive, zero-to-hero approach. It starts with analytics engineering fundamentals, the modern data stack, and ETL/ELT workflows — and then dives deep into dbt modeling, testing, documentation, macros, and orchestration.

You’ll learn how to:

• Set up a complete dbt environment on Windows and macOS
• Connect dbt with Snowflake and a BI tool
• Work with dbt models, materializations, seeds, sources, snapshots, hooks, macros, and packages
• Implement advanced testing using dbt-expectations (a Great Expectations–inspired framework)
• Explore dbt Fusion, the new VS Code extension, and data contracts

This course isn’t just a tool tutorial — it’s a data engineering journey that teaches you the “why” and “how” behind every concept.

Course Structure

The Bootcamp is divided into two main sections: Theory and Practice.

1. Theoretical Section

This part lays the groundwork for your dbt learning. It covers:

• The Data-Maturity Model and how dbt fits into it
• Differences between Data Warehouses, Lakes, and Lakehouses
• ETL vs ELT procedures and transformation layers
• Analytics Engineering concepts and best practices

By the end of this section, you’ll clearly understand dbt’s role in a modern data stack and how it transforms raw data into analytics-ready datasets.

2. Practical Section

Here’s where the magic happens.
You build an end-to-end Airbnb dbt project, step by step, mirroring a real-world analytics pipeline.

Key topics include:

• Setting up dbt with virtual environments
• Creating models and configuring materializations (views, tables, incremental models)
• Writing singular and generic tests
• Working with data contracts, macros, hooks, and Jinja templates
• Using dbt Docs for model documentation
• Visualizing and analyzing dependencies

The hands-on section makes this course particularly valuable for job-ready learning, since it teaches skills you’ll directly apply in data engineering or analytics roles.

What’s New

The course was recently updated for dbt 1.10 and now includes:

• dbt Fusion and VS Code integration
• Data Contracts and Unit Testing
• Advanced dbt Testing Frameworks
• Updated Airbnb project files and documentation

These updates ensure the course remains current with dbt Labs’ latest releases, making it one of the most up-to-date dbt training programs online.

Instructor Expertise

Instructor Zoltan C. Toth brings 20+ years of data engineering experience and teaches with remarkable clarity. His explanations strike the perfect balance — detailed enough for developers, yet beginner-friendly for analysts.
He often draws on real-world industry use cases, which helps you connect concepts with practical scenarios.

Student feedback reflects this:

“Fantastic course. Perfect pacing and clear examples.”
“I passed the dbt certification exam thanks to this course.”

Who Should Take This Course

This Bootcamp suits:

• Data Engineers who want to modernize transformation pipelines
• Data Analysts / BI Developers moving toward analytics engineering
• Data Scientists who need clean, tested data models
• Beginners with basic SQL knowledge who want to upskill

If you’re comfortable writing SQL but new to dbt or data transformations, this course provides the perfect bridge.

📊 Pros & Cons

What You’ll Love About It

• Step-by-step approach from fundamentals to advanced techniques
• Practical project that simulates real industry challenges
• Strong focus on testing, orchestration, and documentation
• Constant updates aligned with dbt Labs’ releases
• Beginner-friendly yet comprehensive enough for professionals

What Could Be Better

• The setup process (especially connecting Snowflake) can be a bit time-consuming for first-timers.
• Some videos are slightly lengthy and could be broken down for quicker revision.
• It would be great if the instructor added a mini project using another warehouse like BigQuery for variety.

Verdict: Is the Udemy dbt Bootcamp Worth It?

Absolutely.
If you’re serious about learning dbt from scratch and applying it in real-world analytics projects, The Complete dbt (Data Build Tool) Bootcamp: Zero to Hero is one of the best investments you can make in 2025.

It’s practical, up-to-date, and comprehensive — ideal for anyone aiming to build or transform data pipelines using dbt. Whether you’re an analyst moving into data engineering or an engineer looking to solidify modern transformation workflows, this Bootcamp gives you both the knowledge and hands-on skills you need.

Rating: ⭐⭐⭐⭐⭐ (5/5)

Click here to enroll

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