Global Learning for Operational Leaders
Classroom
14 sessions
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Online / Live
14 sessions
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Introduction
Course overview
Many Power BI users can build visuals but struggle with data models and DAX, which limits accuracy and performance. Advanced skills unlock reliable, scalable reports.
This Aractech course covers star schema modelling, relationships, DAX fundamentals and evaluation context, time intelligence, advanced calculations, performance optimisation, row-level security and deployment best practice. Participants build an advanced financial and operational model.
What you will achieve
Learning objectives
- Design star schema data models
- Manage relationships and model properties
- Write DAX measures with correct context
- Apply time intelligence functions
- Optimise model and report performance
- Implement security and deployment best practice
Who should attend
Target audience
- Power BI developers
- BI analysts
- Finance and FP&A analysts
- Data analysts
- Reporting specialists
- IT BI teams
Methodology
Learning approach
- Hands-on labs
- Modelling workshops
- DAX exercises
- Performance tuning practice
- Capstone model
Complete course outline
Five focused days of learning and application
The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.
Day 1
Data Modelling
- Star schema
- Fact and dimension tables
- Relationships
- Cardinality
- Coffee break
- Cardinality (continued)
- Model best practice
- Lab: Building a model
Day 2
DAX Fundamentals
- Measures versus columns
- Evaluation context
- CALCULATE
- Iterators
- Coffee break
- Iterators (continued)
- Variables
- Lab: DAX measures
Day 3
Time Intelligence
- Date tables
- YTD and prior period
- Rolling averages
- Coffee break
- Rolling averages (continued)
- Custom calendars
- Lab: Time intelligence
Day 4
Advanced Calculations and Performance
- Advanced DAX patterns
- Ranking and segmentation
- Performance analyser
- Optimisation
- Coffee break
- Optimisation (continued)
- Aggregations
- Lab: Optimisation
Day 5
Security and Deployment
- Row-level security
- Workspaces
- Deployment pipelines
- Coffee break
- Deployment pipelines (continued)
- Governance
- Capstone: Advanced model
FAQ
Frequently asked questions
What does Advanced Power BI: DAX and Data Modelling (DMBI-022) cover?
This course covers Data Management and Business Intelligence through a structured five-day outline focused on practical application, discussion, and implementation planning.
When is the next available session?
The next scheduled session starts on 16 - 20 November 2026. See the course schedules section for the available dates and delivery formats.
Who should attend this course?
Power BI developers, BI analysts, Finance and FP&A analysts
Is bilingual course delivery available?
Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.
How can I register for a session?
Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.
Is this course available online as well as classroom-based?
Check the course schedules section for currently published classroom and Online / Live sessions.
Where are classroom sessions delivered?
Current classroom venues include Vienna, Barcelona, Rome, Munich, Amsterdam, London, Istanbul.
How long is the training programme?
The programme runs for five days from 09:00 to 14:00, which gives 25 contact hours, including a daily 30-minute break (22.5 hours of instruction).
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