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Data Engineering
dbt — Hands-On Projects
A practical, project-based path to dbt in Data Engineering
By Harsh Vardhan
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English
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What you'll learn
- Understand the core concepts of dbt and how they fit together
- Build hands-on projects using dbt that you can add to your portfolio
- Apply dbt to solve real, practical problems in Data Science & AI
- Follow industry best practices and avoid common dbt mistakes
- Gain the confidence to use dbt at work and in interviews
Skills you'll gain
dbt
Practical Projects
Debugging
Best Practices
Problem Solving
Data Engineering
About this course
Want to get genuinely good at dbt? This practical course in our Data Science & AI track takes you from the essentials to applied, real-world skills. You'll learn by building — not just watching — with downloadable resources and exercises throughout. Harsh Vardhan guides you step by step through Data Engineering, focusing on the skills employers actually look for. Finish ready to put dbt on your resume and use it with confidence.
Curriculum
Getting Started
- Welcome and what you'll build video · 17:00 ▶ Free preview
- dbt in 10 minutes video · 06:00 ▶ Free preview
- Your first dbt walkthrough video · 07:00
- Hands-on exercise video · 08:00
- Building the project — part 2 video · 09:00
Core Concepts
- Hands-on exercise video · 12:00
- Building the project — part 2 video · 13:00
- Best practices from industry video · 14:00
Hands-On Practice
- Best practices from industry video · 07:00
- A real-world case study video · 08:00
- Recap and where to go next video · 09:00
- Setting up your environment video · 10:00
Building Real Projects
- Welcome and what you'll build video · 14:00
- dbt in 10 minutes video · 15:00
- Your first dbt walkthrough video · 16:00
- Hands-on exercise video · 17:00
- Building the project — part 2 video · 06:00
Going Deeper
- Hands-on exercise video · 09:00
- Building the project — part 2 video · 10:00
- Best practices from industry video · 11:00
Best Practices
- Best practices from industry video · 16:00
- A real-world case study video · 17:00
- Recap and where to go next video · 06:00
- Setting up your environment video · 07:00