Advanced Power BI Data Analysis Training Course

Build optimized semantic models, advanced DAX analysis, interactive reports, secure distribution, and governed Power BI workflows.
Advanced Power BI Data Analysis Training Course

At a glance

Duration
5 days
Format
Classroom
Cities
Amman, Amsterdam, London, Munich, Accra, Dubai and more
Next session
18 – 22 October 2026, Amman
Average fee
5,800 €

Overview

Advanced Power BI Data Analysis and Reporting Training Course is a five-day advanced course for data analysts, business intelligence developers, reporting specialists, finance analysts, and decision-support teams who leave with a Governed Power BI Decision Reporting Pack. Participants connect Power Query transformations, semantic modeling, DAX, performance analysis, interactive reports, analytical features, row-level security, refresh, publishing, and workspace governance. Agile Leaders Training Center develops practical advanced Power BI data analysis and reporting capability.

Who Should Attend

  • Data analysis functions responsible for transforming data into governed analytical outputs
  • Business intelligence development functions responsible for semantic models and report performance
  • Reporting functions responsible for interactive decision reports and distribution
  • Finance analysis functions responsible for measures, trends, scenarios, and management reporting
  • Decision-support functions responsible for validated insights and controlled access

The course assumes participants can navigate Power BI Desktop, load data, create basic visuals, and write simple measures, and leaves out introductory navigation, spreadsheet-only reporting, data engineering, and certification exam preparation.

Departments and Industries

The course supports departments and industries that develop and govern analytical reporting in Power BI.

  • Banking finance and risk reporting
  • Retail commercial and customer analytics
  • Healthcare operations reporting
  • Manufacturing performance analysis
  • Telecommunications service intelligence

Learning Objectives

By the end of this course, participants will be able to:

  • Apply advanced Power Query transformation patterns
  • Build optimized Power BI semantic models
  • Use DAX measures and evaluation context
  • Analyze trends, outliers, clusters, and scenarios
  • Evaluate report performance, security, and distribution
  • Build a Governed Power BI Decision Reporting Pack

Course Agenda

Day 1: Engineer Analytical Data

  • Power Query Transformation Dependency Map
  • Query Folding and Refresh Readiness Checklist
  • Data Type and Quality Validation Profile
  • Reusable Parameter and Function Pattern
  • Source-to-Model Reconciliation Record

Day 2: Design the Semantic Model

  • Power BI Star Schema Design Canvas
  • Fact and Dimension Grain Definition Sheet
  • Relationship Direction and Cardinality Matrix
  • Date Table and Time Intelligence Foundation
  • Semantic Model Performance Review

Day 3: Build Advanced DAX Analysis

  • DAX Row and Filter Context Map
  • CALCULATE Modifier Decision Guide
  • Advanced Measure Branching Pattern
  • Time-Series and Variance Measure Set
  • DAX Performance Analyzer Diagnostic

Day 4: Govern Reports and Distribution

  • Interactive Report Navigation Blueprint
  • Statistical Summary and Outlier Visual Method
  • What-If Scenario Parameter Model
  • Row-Level Security Role Matrix
  • Workspace Publishing and Refresh Control Plan

Day 5: Practice Decision Reporting

  • Exercise: Reconcile an Advanced Query Workflow
  • Exercise: Validate a Semantic Model
  • Exercise: Diagnose DAX Context and Performance
  • Exercise: Test Report Security and Distribution
  • Capstone: Governed Power BI Decision Reporting Pack

Practical Exercises

The course uses suggested activities based on banking, retail, healthcare, manufacturing, and telecommunications reporting.

  • Suggested activity: transform and reconcile source data through reusable Power Query patterns and validation evidence.
  • Suggested activity: design a star schema with documented grain, relationships, date logic, and performance choices.
  • Suggested activity: build and debug DAX measures for time, variance, scenarios, and analytical interpretation.
  • Suggested activity: assemble navigation, analytical visuals, security roles, refresh controls, and publishing decisions into a reporting pack.

FAQs

Who suits advanced Power BI data analysis and reporting training, and what does it assume?

Data analysis, business intelligence, reporting, finance analysis, and decision-support functions suit the training; it assumes practical experience with Power BI Desktop, basic visuals, loaded data, and simple measures.

How does advanced Power BI data analysis differ from introductory Power BI training?

Advanced Power BI data analysis concentrates on reusable transformations, semantic-model design, DAX context, performance, analytical features, security, refresh, and governance, while introductory training covers basic navigation, loading, visuals, and simple reports.

Why does star schema design matter in Power BI?

Star schema design separates facts from descriptive dimensions, clarifies grain, reduces ambiguous relationships, supports reusable measures, and helps analytical queries remain understandable and efficient.

How should developers diagnose DAX performance?

Developers should inspect measure dependencies, evaluation context, repeated calculations, relationship behavior, model size, visual query patterns, Performance Analyzer evidence, and alternative measure designs before changing a report.

How should Power BI reporting access be governed?

Power BI reporting access should align workspace roles, row-level security, audience membership, data sensitivity, refresh ownership, release controls, usage monitoring, and periodic access review.

Conclusion

Participants take back a Governed Power BI Decision Reporting Pack linking queries, reconciliation, semantic models, DAX, analytical visuals, scenarios, performance, security, refresh, and publishing. It changes disconnected reports into a controlled decision-reporting workflow. The pack supports coordinated work across data, business intelligence, finance, reporting, and decision-support functions.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

Showing 61-74 of 74 events
Image Location Dates Duration Mode Price Actions
Abu Dhabi Abu Dhabi Week 32, 2027
9 – 13 August 2027
5 Days Onsite €4,700
Bali Bali Week 32, 2027
15 – 19 August 2027
5 Days Onsite €5,700
Dubai Dubai Week 33, 2027
16 – 20 August 2027
5 Days Onsite €4,500
Prague Prague Week 34, 2027
23 – 27 August 2027
5 Days Onsite €6,000
Kuwait Kuwait Week 34, 2027
29 August – 2 September 2027
5 Days Onsite €5,500
Vienna Vienna Week 35, 2027
30 August – 3 September 2027
5 Days Onsite €5,700
Amsterdam Amsterdam Week 36, 2027
6 – 10 September 2027
5 Days Onsite €5,700
Milan Milan Week 36, 2027
6 – 10 September 2027
5 Days Onsite €5,700
Porto Porto Week 38, 2027
20 – 24 September 2027
5 Days Onsite €5,700
Nairobi Nairobi Week 38, 2027
26 – 30 September 2027
5 Days Onsite €4,500
Cairo Cairo Week 39, 2027
27 September – 1 October 2027
5 Days Onsite €4,100
Geneva Geneva Week 39, 2027
3 – 7 October 2027
5 Days Onsite €6,200
Tbilisi Tbilisi Week 41, 2027
11 – 15 October 2027
5 Days Onsite €5,000
Marbella Marbella Week 41, 2027
17 – 21 October 2027
5 Days Onsite €5,700

Frequently asked questions

What does this course cover?

OverviewAdvanced Power BI Data Analysis and Reporting Training Course is a five-day advanced course for data analysts, business intelligence developers, reporting specialists, finance analysts, and decision-support teams who leave with a Governed Power BI Decision Reporting Pack. Participants connect Power Query transformations, semantic modeling, DAX, pe…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

This course by city