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Data Build Tool - DBT Complete Masterclass
New
Rating: 4.0 out of 5(2 ratings)
42 students

Data Build Tool - DBT Complete Masterclass

Master dbt Core & Cloud: data modeling, transformations, testing, documentation, and CI/CD for analytics engineering
New
Created byPrem shende
Last updated 6/2026
English

What you'll learn

  • Master DBT Core & DBT Cloud from scratch — build, run, and manage data models with confidence, even with zero prior experience.
  • Connect DBT to Snowflake and build end-to-end data transformation pipelines using industry best practices.
  • Write advanced SQL models using CTEs, incremental models, snapshots, seeds, macros, and Jinja templating in DBT.
  • Write advanced SQL models using CTEs, incremental models, snapshots, seeds, macros, and Jinja templating in DBT.

Course content

13 sections • 34 lectures • 1h 59m total length

  • Introduction1:29
  • About Your Instructor2:24

Requirements

  • Basic SQL knowledge is required — you should be comfortable with SELECT, WHERE, JOIN, GROUP BY, and aggregate functions.
  • Basic Snowflake UI knowledge is required — you should know how to log in, navigate the UI, and run simple SQL queries.
  • A free Snowflake trial account is needed — registration steps and setup are fully covered at the start of the course.
  • No DBT experience is needed — this course starts from absolute zero and takes you to an advanced, job-ready level.

Description

Transform raw data into trusted, analytics-ready datasets using dbt (Data Build Tool) — the industry-standard transformation layer used by thousands of data teams worldwide.

This complete DBT masterclass is designed for data engineers, analytics engineers, and BI developers who want to build production-grade data pipelines using modern data stack practices. Whether you are just starting out with dbt or looking to deepen your expertise, this course covers everything from fundamentals to advanced techniques.

What you will learn:

  • Set up dbt Core and dbt Cloud from scratch

  • Write powerful SQL models using dbt's modular transformation framework

  • Implement data testing strategies to ensure data quality and integrity

  • Build and auto-generate documentation for your entire data pipeline

  • Use Jinja templating and macros to write DRY, reusable SQL code

  • Manage incremental models to optimize performance on large datasets

  • Integrate dbt with Snowflake, BigQuery, Redshift, and PostgreSQL

  • Set up CI/CD pipelines for automated testing and deployment

Who is this course for? Data engineers modernizing their workflows, SQL-proficient analysts moving into analytics engineering, and BI developers adopting the modern data stack. Basic SQL knowledge is recommended.

Why learn dbt? dbt has become the de facto standard for data transformation. Companies like Spotify, Airbnb, and GitLab rely on dbt to power their analytics pipelines. By the end of this course you will have hands-on project experience, a portfolio-ready dbt project, and the skills to pass dbt certifications.

Enroll today and start building data pipelines the modern way.

Who this course is for:

  • Beginners with basic SQL knowledge who want to learn DBT from scratch and build a career in data engineering or analytics.
  • Data analysts who know SQL and want to adopt DBT to build clean, testable, and scalable data transformation pipelines.
  • Data engineers who want to master DBT Cloud and Snowflake integration for building production-ready data workflows.
  • Anyone preparing for a data engineering job who wants hands-on experience with DBT Cloud and Snowflake on real projects.

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