Excel Power Pivot Data Modeling and DAX Course

Name: Excel Power Pivot Data Modeling and DAX Course
Availability: InStock

Build reusable Excel analytical workbooks by relating multiple tables, defining reliable DAX measures, and validating PivotTable results.

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 €

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Excel Power Pivot Data Modeling and DAX Course

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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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Showing 61-74 of 74 events

Location	Dates	Duration	Mode	Price
Manama	Week 31, 2027 8 – 12 August 2027	1 Week	Onsite	€4,700
Muscat	Week 31, 2027 8 – 12 August 2027	1 Week	Onsite	€5,700
Phuket	Week 32, 2027 15 – 19 August 2027	1 Week	Onsite	€6,000
Milan	Week 34, 2027 23 – 27 August 2027	1 Week	Onsite	€5,700
Dubai	Week 36, 2027 6 – 10 September 2027	1 Week	Onsite	€4,500
Abu Dhabi	Week 36, 2027 6 – 10 September 2027	1 Week	Onsite	€4,700
Amsterdam	Week 37, 2027 13 – 17 September 2027	1 Week	Onsite	€5,700
Berlin	Week 37, 2027 13 – 17 September 2027	1 Week	Onsite	€5,700
Bali	Week 37, 2027 19 – 23 September 2027	1 Week	Onsite	€5,700
Rome	Week 39, 2027 27 September – 1 October 2027	1 Week	Onsite	€5,700
Cairo	Week 40, 2027 4 – 8 October 2027	1 Week	Onsite	€4,100
Chicago	Week 40, 2027 10 – 14 October 2027	1 Week	Onsite	€12,000
Kuala Lumpur	Week 41, 2027 11 – 15 October 2027	1 Week	Onsite	€5,200
London	Week 42, 2027 18 – 22 October 2027	1 Week	Onsite	€5,700

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.

Excel Power Pivot Data Modeling and DAX Course