Excel Power Pivot Data Modeling and DAX Course
At a glance
- Duration
- 1 Week
- Format
- Classroom
- Cities
- Accra, Madrid, Porto, Lisbon, Dubai, New York and more
- Next session
- 18 – 22 October 2026, Accra
- Average fee
- 5,800 €
Overview
Excel Power Pivot Data Modeling and DAX Course is a one-week course for Excel analysts, finance professionals, reporting specialists, and business users who leave with a Reusable Analytical Workbook. Participants import multiple tables, define relationships, create calculated columns and measures, apply row and filter context, build PivotTables and PivotCharts, analyze reporting periods, validate results, and refresh sources. The course replaces fragile lookup chains with a structured Excel Data Model and calculation layer. Agile Leaders Training Center develops Excel Power Pivot modeling and DAX practice.
Who Should Attend
Finance analysis functions responsible for recurring management calculations and reporting workbooks
Reporting functions responsible for combining multiple source tables into repeatable outputs
Business analysis functions responsible for defining measures and comparing performance periods
Operations functions responsible for maintaining analytical workbooks and source refreshes
Excel support functions responsible for improving workbook structure, validation, and reuse
The course assumes participants can use Excel tables, formulas, PivotTables, and basic data cleaning; it leaves out Power BI report design, database engineering, macros, and advanced DAX optimization.
Departments and Industries
The course supports departments and industries that analyze related business tables inside Excel.
Finance, sales, procurement, operations, and human resources
Retail, logistics, manufacturing, and hospitality
Healthcare, education, utilities, and infrastructure
Technology, telecommunications, financial services, and professional services
Learning Objectives
By the end of this course, participants will be able to:
Use Power Pivot to import and organize multiple source tables.
Build valid one-to-many relationships in an Excel Data Model.
Apply DAX calculated columns, measures, and context choices.
Analyze model results with PivotTables and PivotCharts.
Diagnose relationship, calculation, and reconciliation errors.
Build a reusable workbook with refresh and validation controls.
Course Agenda
Day 1: Structure the Analytical Workbook
Workbook Question and Output Definition Canvas
Power Pivot Window and Data Model Map
Source Table and Field Inventory
Import, Rename, and Data Type Checklist
Analytical Workbook File and Version Structure
Day 2: Design Table Relationships
Fact and Lookup Table Classification
Primary Key and Matching Column Test
Diagram View Relationship Construction
Cardinality, Direction, and Ambiguity Check
Relationship Validation through PivotTable Fields
Day 3: Calculate with DAX
Calculated Column and Measure Decision Guide
SUM, COUNT, DISTINCTCOUNT, and DIVIDE Measure Pattern
Row Context and Filter Context Demonstration
Date Table and Time Comparison Structure
DAX Measure Definition and Test Record
Day 4: Report and Control Results
PivotTable Field Layout and Slicer Design
PivotChart Selection and Formatting Grid
Period, Segment, and Variance Analysis View
Source-to-Measure Reconciliation Sheet
Refresh Sequence and Workbook Control Log
Day 5: Practice Workbook Delivery
Exercise: Repair a Broken Table Relationship
Exercise: Diagnose DAX Context and Totals
Exercise: Assemble a PivotTable Analysis View
Exercise: Test Refresh and Reconciliation Controls
Capstone: Reusable Analytical Workbook
Practical Exercises
The course uses suggested activities based on finance, sales, workforce, and operational tables.
Suggested activity: classify imported tables, identify keys, create relationships, and test model behavior through a PivotTable.
Suggested activity: build calculated columns and measures, then compare row and filter context effects.
Suggested activity: design a period analysis with PivotTables, PivotCharts, slicers, and time comparisons.
Suggested activity: reconcile model results to sources and document refresh, version, and ownership controls.
FAQs
Who suits Excel Power Pivot and DAX training, and what does it assume?
Excel analysts, finance teams, reporting functions, and business users suit the training. It assumes experience with Excel tables, formulas, PivotTables, and basic data cleaning.
How does Excel Power Pivot modeling differ from Power BI reporting?
Power Pivot modeling centers on Excel workbooks, related tables, DAX measures, PivotTables, and PivotCharts, while Power BI reporting adds dedicated report pages, service workspaces, broader sharing controls, and interactive application delivery.
Why are relationships important in an Excel Power Pivot Data Model?
Relationships let fields from separate tables work together without repeating all columns in one table, while keys and cardinality determine valid calculation and navigation paths.
When should Excel Power Pivot use a DAX measure instead of a calculated column?
A measure suits calculations that should respond to PivotTable filters and context, while a calculated column stores a value for each model row and can support grouping, filtering, or later calculations.
How should Power Pivot workbook results be validated?
Results should be checked through source totals, row counts, relationship tests, filter combinations, period comparisons, exception cases, measure definitions, and a recorded refresh sequence.
Conclusion
Participants take back a Reusable Analytical Workbook containing related tables, DAX calculations, PivotTable views, PivotCharts, reconciliations, and refresh controls. It changes disconnected Excel extracts into a structured model and reporting asset. The workbook supports consistent calculations, repeatable analysis, source validation, and controlled maintenance.
credits: 5 credit per day
Course Mode: full-time
Provider: Agile Leaders Training Center
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Events for this Course
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Accra 18 – 22 October 2026
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Madrid 26 – 30 October 2026
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Porto 26 – 30 October 2026
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Lisbon 2 – 6 November 2026
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Dubai 9 – 13 November 2026
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New York 9 – 13 November 2026
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Sharm El-Sheikh 16 – 20 November 2026
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Trabzon 22 – 26 November 2026
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Paris 23 – 27 November 2026
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Kuwait 29 November – 3 December 2026
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Amsterdam 30 November – 4 December 2026
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Vienna 7 – 11 December 2026
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Abu Dhabi 7 – 11 December 2026
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Nairobi 13 – 17 December 2026
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London 14 – 18 December 2026
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Singapore 21 – 25 December 2026
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Doha 27 – 31 December 2026
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Bangkok 3 – 7 January 2027
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Cape town 10 – 14 January 2027
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Cairo 11 – 15 January 2027
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Barcelona 18 – 22 January 2027
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Frankfurt 18 – 22 January 2027
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Langkawi 24 – 28 January 2027
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Tashkent 24 – 28 January 2027
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Istanbul 1 – 5 February 2027
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Seoul 1 – 5 February 2027
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London 8 – 12 February 2027
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Prague 15 – 19 February 2027
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Dubai 22 – 26 February 2027
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Abu Dhabi 22 – 26 February 2027
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Marbella 7 – 11 March 2027
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Rome 8 – 12 March 2027
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Tbilisi 15 – 19 March 2027
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Jakarta 22 – 26 March 2027
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Toronto 28 March – 1 April 2027
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Amsterdam 29 March – 2 April 2027
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Madrid 5 – 9 April 2027
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Nice 5 – 9 April 2027
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Johannesburg 11 – 15 April 2027
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Paris 12 – 16 April 2027
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Barcelona 19 – 23 April 2027
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Baku 26 – 30 April 2027
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Zoom 3 – 7 May 2027
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Milan 10 – 14 May 2027
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Munich 10 – 14 May 2027
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London 17 – 21 May 2027
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Tokyo 24 – 28 May 2027
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Abu Dhabi 24 – 28 May 2027
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Manama 30 May – 3 June 2027
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Kuala Lumpur 14 – 18 June 2027
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Athens 14 – 18 June 2027
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Geneva 20 – 24 June 2027
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Vienna 28 June – 2 July 2027
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Montreux 28 June – 2 July 2027
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Dubai 5 – 9 July 2027
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Amman 11 – 15 July 2027
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Casablanca 19 – 23 July 2027
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San Diego 19 – 23 July 2027
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Zanzibar 25 – 29 July 2027
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Istanbul 2 – 6 August 2027
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Manama 8 – 12 August 2027
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Muscat 8 – 12 August 2027
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Phuket 15 – 19 August 2027
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Milan 23 – 27 August 2027
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Dubai 6 – 10 September 2027
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Abu Dhabi 6 – 10 September 2027
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Amsterdam 13 – 17 September 2027
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Berlin 13 – 17 September 2027
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Bali 19 – 23 September 2027
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Rome 27 September – 1 October 2027
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Cairo 4 – 8 October 2027
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Chicago 10 – 14 October 2027
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Kuala Lumpur 11 – 15 October 2027
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London 18 – 22 October 2027
| Image | Location | Dates | Duration | Mode | Price | Actions |
|---|---|---|---|---|---|---|
|
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Barcelona |
Week 16, 2027 19 – 23 April 2027 |
1 Week | Onsite | €5,700 | |
|
|
Baku |
Week 17, 2027 26 – 30 April 2027 |
1 Week | Onsite | €5,000 | |
|
|
Zoom |
Week 18, 2027 3 – 7 May 2027 |
1 Week | Online | €1,500 | |
|
|
Milan |
Week 19, 2027 10 – 14 May 2027 |
1 Week | Onsite | €5,700 | |
|
|
Munich |
Week 19, 2027 10 – 14 May 2027 |
1 Week | Onsite | €5,700 | |
|
|
London |
Week 20, 2027 17 – 21 May 2027 |
1 Week | Onsite | €5,700 | |
|
|
Tokyo |
Week 21, 2027 24 – 28 May 2027 |
1 Week | Onsite | €10,000 | |
|
|
Abu Dhabi |
Week 21, 2027 24 – 28 May 2027 |
1 Week | Onsite | €4,700 | |
|
|
Manama |
Week 21, 2027 30 May – 3 June 2027 |
1 Week | Onsite | €4,700 | |
|
|
Kuala Lumpur |
Week 24, 2027 14 – 18 June 2027 |
1 Week | Onsite | €5,200 | |
|
|
Athens |
Week 24, 2027 14 – 18 June 2027 |
1 Week | Onsite | €6,700 | |
|
|
Geneva |
Week 24, 2027 20 – 24 June 2027 |
1 Week | Onsite | €6,200 | |
|
|
Vienna |
Week 26, 2027 28 June – 2 July 2027 |
1 Week | Onsite | €5,700 | |
|
|
Montreux |
Week 26, 2027 28 June – 2 July 2027 |
1 Week | Onsite | €7,500 | |
|
|
Dubai |
Week 27, 2027 5 – 9 July 2027 |
1 Week | Onsite | €4,500 | |
|
|
Amman |
Week 27, 2027 11 – 15 July 2027 |
1 Week | Onsite | €4,100 | |
|
|
Casablanca |
Week 29, 2027 19 – 23 July 2027 |
1 Week | Onsite | €4,100 | |
|
|
San Diego |
Week 29, 2027 19 – 23 July 2027 |
1 Week | Onsite | €14,000 | |
|
|
Zanzibar |
Week 29, 2027 25 – 29 July 2027 |
1 Week | Onsite | €5,500 | |
|
|
Istanbul |
Week 31, 2027 2 – 6 August 2027 |
1 Week | Onsite | €4,500 |
Frequently asked questions
What does this course cover?
OverviewExcel Power Pivot Data Modeling and DAX Course is a one-week course for Excel analysts, finance professionals, reporting specialists, and business users who leave with a Reusable Analytical Workbook. Participants import multiple tables, define relationships, create calculated columns and measures, apply row and filter context, build PivotTables an…
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.
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