‍Scenario-based trainings in data science

Turn your teams into autonomous data practitioners

Five-step training cycle diagram: (1) Theory & demonstration—introduce concepts and methods, (2) Guided hands-on practice—apply step by step on a continuous scenario, (3) Review & correction—validate and refine, (4) Reinforcement—each iteration strengthens earlier skills while adding a new layer, and (5) Mastery increment—one new concept per cycle, applied, reviewed, and retained.

All trainings

Power BI

Power BI

Discover the full potential of data visualization and modeling with Power BI

Copilot365

Copilot365

Harness AI-powered efficiency with Copilot for Microsoft 365

Fabric

Fabric

Fabric ETL skills to build and run reliable data pipelines

Qlik Sense visualization

Qlik Sense visualization

Train your team to build and own Qlik Sense dashboards end-to-end

Qlik Sense data modeling

Qlik Sense data modeling

Explore the full potential of data transformation and modeling with Qlik Sense

Qlik Nprinting

Qlik Nprinting

Train your team to generate multi-format reports from Qlik Sense and automate delivery

n8n

n8n

End-to-end mastery of workflow automation with n8n

AI Literacy

AI Literacy

AI literacy skills that help teams use AI safely and effectively

Machine Learning

Machine Learning

End-to-end mastery of machine learning

What makes eaQbe's trainings right for your team ?

Scenario-based learning

Our training bridges the gap between concepts and reality. We immerse participants in realistic business scenarios, ensuring skills are directly applicable to your specific challenges.

Trainings led by experts

Our trainers are data science specialists with solid teaching experience. They make complex topics accessible through a clear, structured approach focused on practical application

Progressive autonomy & mastery

Each participant is guided step by step in their learning journey: from theory and demonstrations to guided exercises, leading to full autonomy.

Build capability, not dependency

Richard Feynman nailed it: “If you can’t explain it simply, you don’t understand it well enough.”

That’s eaQbe’s DNA. We don’t just train your team on data  tools. We build experts who can explain, apply, and amplify what they’ve learned.