eLearning Foundational Analytics Engineering

Learn the fundamentals of modern analytics engineering at your own pace. Build reliable data models, structure transformations, and apply best practices used by high-performing data teams.
Length & format
  • Self-paced eLearning course, no deadline
  • Video lessons + hands-on sandbox exercises + quizzes
  • Certificate on completion
Why take this course?

Learn how modern data teams build reliable, production-ready analytics models and workflows using dbt.

Who is this for?

For data analysts, analytics engineers, and data engineers who want to get hands-on with modern analytics engineering practices and data modeling.

What is expected from you?

You should be comfortable writing SQL queries, including SELECT, JOIN, WHERE and GROUP BY statements. Everything else you’ll learn in the course.

What you will learn?

  • Build clean, modular analytics models from raw data to business-ready datasets
  • Apply structured design patterns for scalable and maintainable analytics projects
  • Use templating and reusable logic to simplify complex SQL transformations
  • Implement data quality tests and documentation from day one
  • Deploy analytics models to production using modern analytics engineering workflows used by high-performing data teams
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Build the skills your data team needs to adopt and scale modern analytics and AI-native workflows.
Our eLearning course is designed to deliver training tailored to your data platform, architecture and use cases.

Hands-on learning

Work through realistic labs and exercises in your own cloud sandbox, with support from our team whenever you have any questions

Always best practices

Our course is built with best practices in analytics engineering from real production data platforms - with quizzes to check your understanding along the way.

Built for modern data teams

Learn the practices behind scalable analytics engineering and AI-native data workflows, at your own pace.

Meet your instructors

Simo Tumelius

Co-founder, Lead instructor
Started in software engineering, where test-driven development and clean code shaped his approach.
He then transitioned into data, focusing on making analytics systems scalable, tested, and reliable.
Simo discovered dbt in 2019 and recognized its potential early on.
In early 2021, he went full-time freelance, helped teams adopt dbt and build sustainable analytics practices through mentoring, coaching, and training.
He has taught teams across Europe, the U.S., and India, with focus on helping people truly understand and confidently use modern data tools.
His training materials, built over five years, now form the foundation of Breakout Labs' dbt Foundational and Advanced Analytics Engineering programs.

Marvin Geerken

Co-founder, Lead instructor
Started in e-commerce before finding his path in data. After earning a master's in Business Intelligence and Analytics, Marvin joined Scalefree, a consultancy specializing in modern, large-scale enterprise data platforms. He became a core expert in dbt, Snowflake, and Data Vault - developing automations and leading implementations. After building a dbt + Data Vault training program, his passion for enablement was sparked, he then went freelance in 2023 to seek independence and greater impact. Marvin connected with Simo around a shared vision, leading to the founding of Breakout Labs. He then continues to support enterprise clients like Siemens while co-leading Breakout Labs' training content and delivery.