Excel Power Pivot Data Modeling and DAX Course

Build reusable Excel analytical workbooks by relating multiple tables, defining reliable DAX measures, and validating PivotTable results.
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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Barcelona Barcelona Week 03, 2027
18 – 22 January 2027
1 Week Onsite €5,700
Frankfurt Frankfurt Week 03, 2027
18 – 22 January 2027
1 Week Onsite €5,700
Langkawi Langkawi Week 03, 2027
24 – 28 January 2027
1 Week Onsite €6,000
Tashkent Tashkent Week 03, 2027
24 – 28 January 2027
1 Week Onsite €4,500
Istanbul Istanbul Week 05, 2027
1 – 5 February 2027
1 Week Onsite €4,500
Seoul Seoul Week 05, 2027
1 – 5 February 2027
1 Week Onsite €10,000
London London Week 06, 2027
8 – 12 February 2027
1 Week Onsite €5,700
Prague Prague Week 07, 2027
15 – 19 February 2027
1 Week Onsite €6,000
Dubai Dubai Week 08, 2027
22 – 26 February 2027
1 Week Onsite €4,500
Abu Dhabi Abu Dhabi Week 08, 2027
22 – 26 February 2027
1 Week Onsite €4,700
Marbella Marbella Week 09, 2027
7 – 11 March 2027
1 Week Onsite €5,700
Rome Rome Week 10, 2027
8 – 12 March 2027
1 Week Onsite €5,700
Tbilisi Tbilisi Week 11, 2027
15 – 19 March 2027
1 Week Onsite €5,000
Jakarta Jakarta Week 12, 2027
22 – 26 March 2027
1 Week Onsite €5,700
Toronto Toronto Week 12, 2027
28 March – 1 April 2027
1 Week Onsite €12,000
Amsterdam Amsterdam Week 13, 2027
29 March – 2 April 2027
1 Week Onsite €5,700
Madrid Madrid Week 14, 2027
5 – 9 April 2027
1 Week Onsite €5,700
Nice Nice Week 14, 2027
5 – 9 April 2027
1 Week Onsite €5,700
Johannesburg Johannesburg Week 14, 2027
11 – 15 April 2027
1 Week Onsite €4,500
Paris Paris Week 15, 2027
12 – 16 April 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.

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