Power BI
Power BI, from raw data to decisions- Power Query, star schema, dashboards
About the Power BI Training
Power BI autonomy in 2 days, from data to sharing
Our Power BI training is designed for teams with mixed skill levels, with one clear goal: becoming autonomous across the full Power BI workflow, from raw data to publishing reliable, usable reports.
In practice, participants learn to:
- use a report as an advanced end user,
- build KPIs with DAX,
- design interactive reports,
- prepare and model data following BI best practices,
- publish and share in Power BI Service / Fabric.
eaQbe methodology: progressive skill-building
We don’t believe in trainings that stack feature after feature. We focus on structured immersion, guided by a scenario-based throughline: participants learn the Power BI flow in the right order and develop habits that last.
Our approach follows a progressive logic:
- Understand before you build
- Use before you implement
- See the end goal before diving into technical details
Learning path
1) Use Power BI like an advanced end user
Before building, participants learn how to work with a report properly: navigation, filters, interactions, drill-down/drill-through, and interpreting visuals and KPIs. The goal is to understand what a good report must enable—and how users actually interact with information.
2) DAX & KPI design
Starting from a clean, pre-built model, participants learn the right DAX fundamentals: measures vs columns, essential functions, and KPI logic. The goal is to create KPIs that are reliable, readable, and reusable.
3) Data visualization & decision-ready reporting
Once KPIs are in place, participants focus on data visualization: page structure, visual selection, report design, and interactivity (filters, buttons, bookmarks, drill-through). They learn how to deliver reporting that is clear, consistent, and adopted.
4) Power Query & modeling (data architecture)
Finally, we go back “to the start”: unprepared data, Power Query transformations, then modeling (star schema, relationships, cardinality, filter direction) to build a model that is performant and maintainable.
Continuous skills validation
Throughout the training, participants validate what they’ve learned through short explain-back moments and guided reviews—so the goal is real, transferable understanding, not just “having seen it once.”
Skills gained
- Practical DAX: build relevant measures, master the “measures vs columns” logic, and apply the first essential patterns.
- Report autonomy: use, maintain, evolve, and adapt Power BI reports with confidence.
- Interactive, consistent reporting: structure pages, manage navigation and interactions, and deliver clear outputs.
- Solid BI modeling: star schema, relationships, cardinality, filter direction.
- From data to sharing: prepare/model, then publish and share in Power BI Service / Fabric with a clear distribution approach.
Practical details
- Format: 2-day intensive workshop (hands-on & scenario-based)
- Group size: 5–10 participants (small groups for personalized coaching)
- Prerequisites: none
- Follow-up: evaluation + post-training anchoring exercises
Data visualization & storytelling
1.1 Modern BI foundations
General introduction
- The strategic role of BI in decision-making
- Data types: structured vs semi-structured
- Key concepts: dimensions vs measures
- Introduction to star schema and ETL logic (Extract, Transform, Load)
1.2 The “end-user” experience
Getting started with Power BI and becoming familiar with the different environments:
- Power BI Desktop: report building + Power Query integration
- Fabric + Power BI Service: workspaces, dashboards, apps
1.3 Report building, visualization & DAX
Learning how to enrich analysis and visuals with DAX:
- Create calculated columns, measures, and tables
- Create and configure standard and advanced visuals
- Add interactivity: drill-through, slicers, buttons, bookmarks, parameters, and What-If scenarios
Data architecture & engineering
2.1 Power Query & ETL logic
Understanding how data is extracted, why it must be prepared, and how to transform it:
- The role of Power Query within Power BI
- ETL concept (Extract, Transform, Load)
- Data connections & gateways
2.2 Data transformation & cleaning
Hands-on data preparation:
- Clean, format, and manage data types
- Create calculated columns or transform existing ones
- Filter, standardize, and unpivot
2.3 Building a star schema (modeling)
- Fact tables vs dimension tables
- Combine data: append (adding rows) vs merge (left/inner/full outer joins)
- Manage relationships, cardinality, and filter direction
- Optimize the model for faster analysis
Frequently asked questions
Do participants need prior Power BI experience?
No. The training starts from raw data and builds up to published dashboards: Power Query for shaping data, star schema modeling, DAX for measures, interactive reports and publishing to Microsoft Fabric. Being comfortable with Excel is enough to start.
Will we learn DAX?
Yes. DAX carries every real calculation in Power BI, and the training builds it progressively, from first measures to the patterns used in production dashboards. It is taught on top of a clean model, which is what keeps DAX short and readable.
Why does the training insist on the star schema?
Because most Power BI problems that look like DAX problems are modeling problems. A clean star schema makes measures short, filters predictable and reports fast. The training teaches the modeling first, so the DAX that follows stays simple.
Can we work on our own data?
That is the preferred format. The exercises can run on your organisation's data and reporting cases, which is also how the training surfaces the modeling decisions specific to your systems. Standard datasets are used otherwise.
Is the training available in French and English, on-site or remote?
Both. Sessions run in French or English, on-site across Belgium and Luxembourg (we are based in Brussels) or remotely. For the data side of the platform, pipelines and Lakehouse, see the Microsoft Fabric training.
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.