Mastering Business Intelligence with DAX, Power BI, and Excel

Master business intelligence with DAX, Power BI, and Excel—transform raw data into actionable insights and drive smarter decisions across your organization.
April 16, 2026
01:00 PM - 03:00 PM (Eastern Time)
Duration: 1 Day
Hours: 2 Hours
Training Level: All Levels
Virtual Class Id: 54752
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$199.00 $332.00
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Single Attendee
$249.00 $416.00
6 month Access for Recorded
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About the Course:

Today, Business Intelligence is more than just dashboards. It calls for solid data modelling, useful measures, and the skill to turn data into insights. This course, Mastering Business Intelligence with DAX, Power BI, and Excel, helps professionals move from basic reporting to advanced, insight-driven BI solutions.

The course shows how Excel, Power BI, and DAX can work together to build scalable, reliable, and decision-ready analytics. Participants will gain both a clear understanding and hands-on skills in DAX, dimensional modelling, and analytical thinking, without the course becoming too technical or focused on coding.

Course Objectives:

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

  • See how Excel, Power BI, and DAX work together in a BI ecosystem.
  • Build solid analytical models by following best practices.
  • Write and understand DAX measures to gain useful insights.
  • Create interactive Power BI reports that focus on business needs.
  • Use BIUse BI results to help make better decisions. 

Who is the Target Audience?

This course is intended for:

  • Business Intelligence professionals and analysts.
  • Power BI users who want to improve their skills.
  • Excel power users moving to modern BI tools. 
  • Finance, operations, and performance management professionals.
  • Data and analytics professionals who help support business decisions.
  • Anyone who builds or maintains BI reports and dashboards.

Basic Knowledge:

  • There are no prerequisites for this course.

Curriculum
Total Duration: 2 Hours
The Modern Business Intelligence Landscape

  • Evolution from spreadsheets to BI platforms
  • Role of Excel, Power BI, and DAX
  • What “good BI” looks like

Data Modelling for Business Intelligence

  • Importance of data models in BI
  • Fact tables, dimensions, and relationships
  • Common modelling mistakes and how to avoid them

Introduction to DAX Thinking

  • What DAX is and why it matters
  • Measures vs. calculated columns
  • Evaluation context (conceptual understanding)

Core DAX Functions and Patterns

  • Aggregations and calculations
  • Time intelligence concepts
  • Common business calculation patterns

Advanced DAX Concepts (Practical Focus)

  • Filter context and context transition
  • Writing efficient and readable measures
  • Debugging and validating DAX results

Power BI Report Design and Analytics

  • Designing interactive, user-friendly dashboards
  • Using slicers, filters, and drill-downs
  • Turning measures into insights

Excel and Power BI Integration

  • Using Excel as a data source and analysis tool
  • Analysing Power BI models in Excel
  • When Excel still adds value

Performance, Governance, and Best Practices

  • Model performance and optimization basics
  • Data accuracy and consistency
  • BI governance and user trust

Applying BI to Real Business Scenarios

  • Financial and operational analytics examples
  • KPI tracking and performance management
  • Supporting strategic and operational decisions

Key Takeaways and Mastery Path

  • BI best practices checklist
  • Common pitfalls to avoid
  • Next steps to advance BI expertise