Training and Enablement for Modern Data Teams

Our Courses
Foundational Analytics Engineering

Learn the fundamentals of modern analytics engineering. Build reliable data models, structure transformations, and apply best practices used by high-performing data teams.
Advanced Analytics Engineering
An advanced, hands-on program designed to help data teams build scalable, production-grade analytics with dbt and leading cloud warehousing solutions. Focused on real-world architecture, performance, and best practices, it enables organizations to turn their data platform investment into reliable, high-quality data products.
Frequently asked questions
Why should we invest in your live training when there are on-demand courses online?
It really depends on what you’re aiming for.
If you're looking to gradually upskill individuals at their own pace, self-paced online courses can be a great, cost-effective option. They’re flexible, and for some learners, that’s enough.
But if your goal is to get an entire team up to speed quickly, and align them around shared best practices, live training is the better investment. Our sessions are designed not just to teach skills, but to drive adoption: helping your team build confidence, avoid common pitfalls, and start contributing with maintainability in mind from day one.
In larger organizations, we also serve a unique role in bringing teams together, facilitating alignment across domains, and helping define conventions that scale.
Why virtual training? Wouldn’t on-site be better?
It depends on what your organization needs most: speed, scalability, or physical presence.
Live virtual sessions also:
That said, if your team is co-located and you’re looking for a more immersive, retreat-style learning experience, we’re happy to explore on-site options. But for many clients, vILT is the sweet spot between depth, speed, and reach.
If your team is globally distributed, time-constrained, or operating under tighter budgets (or travel restrictions), virtual instructor-led training (vILT) is often the better choice. It allows us to deliver high-impact training faster, without the downtime or costs associated with travel and logistics.
Live virtual sessions also:
• Support globally distributed teams in the same session, promoting alignment
• Help reach smaller or remote offices that usually miss out on on-site training
• Are easier to schedule: teams can train and stay productive without blocking full days
• Reduce cost per learner while expanding training access across departments
That said, if your team is co-located and you’re looking for a more immersive, retreat-style learning experience, we’re happy to explore on-site options. But for many clients, vILT is the sweet spot between depth, speed, and reach.
Why do you use two instructors instead of just one?
We believe two instructors create a better learning experience. Especially for technical, hands-on topics like data & analytics engineering.
Having two instructors allows us to deliver more dynamic sessions: one can lead the main instruction while the other actively supports participants, answers questions, troubleshoots issues, and helps maintain learner engagement. This ensures no one is left behind and that learners get more personalized attention.
It also brings complementary perspectives and real-world experiences into the room, enriching discussions beyond what a single instructor could provide.
That said, for smaller groups or simpler workshops, a single instructor can sometimes be enough. But for complex and content-rich topics, and especially when you want to drive team or organization wide adoption, our two-instructor model consistently yields better results.
Whether you're onboarding your first data developers or rolling out analytics workflows across thousands of users, Breakout Labs delivers practical, high-impact training that scales and enable your data team.
Flexible Courses
No matter what you're doing or where you are, our online courses allow you to learn at your own pace.
Learn from experts
We've assembled the world's top instructors in data science to bring you the most up-to-date content.
Master data analysis
Become an expert in data analysis with our deep dive into understanding the concepts behind this important skill.

