Snowflake & dbt – A Hands-On Guide

Snowflake & dbt – A Hands-On Guide udemy course

Hands-On Data Engineering with dbt & Snowflake – Build Scalable Data Models and ETL Pipelines

Are you ready to take your data skills to the next level? Whether you're a data analyst, engineer, or aspiring data professional, this hands-on course will teach you how to design and build modern data pipelines using Snowflake and dbt (data build tool) — two of the most powerful tools in the data stack today.

In this course, you’ll learn how to set up your own Snowflake environment, ingest data from different sources (including local files and cloud storage), and transform it into clean, analytics-ready tables using dbt. We’ll cover data modeling concepts, ELT best practices, version control, and how to structure a real-world project using dbt Core.

You’ll also learn how to:

• Create and manage Snowflake databases, schemas, and stages

• Write modular SQL transformations with dbt models

• Learn to work with CTEs and Window functions

• Collaborate using dbt and Git

• Prepare your data for reporting tools like Power BI and other platforms

This course is packed with practical examples, code walkthroughs, and tips based on real-world experience setting up Snowflake and dbt in production environments.

By the end of the course, you’ll be confident in building reliable, maintainable data pipelines — and fully ready to apply those skills immediately.

Let’s dive in!