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Data Analysis using DAX

Overview

DAX is the native language of Power BI, Power Pivot for Excel, and SSAS Tabular models in Microsoft SQL Server Analysis Services.

Course Objectives

The goal of the course is to teach all the features of the DAX language, providing the knowledge to write formulas for common and advanced business scenarios.

Content

Introduction to DAX

  • Overview of Data Analysis Expressions
  • Importance in Power BI and Excel

Foundations of DAX

  • Syntax and basic operators
  • Data types and evaluation contexts

DAX Functions – Basics

  • Understanding key functions (SUM, AVERAGE, COUNT)
  • Implementing in real-world scenarios

Advanced DAX Functions

  • Time intelligence functions
  • Statistical functions for deeper analysis

DAX in Power BI

  • Integration and optimization
  • Creating dynamic visualizations

Optimizing DAX Formulas

  • Best practices for efficient calculations
  • Handling large datasets

Case Studies and Practical Exercises

  • Applying DAX in real-world scenarios
  • Problem-solving and troubleshooting

You will learn how to

  • Understand Data Analysis Expressions
  • Form basic syntax
  • Use data types
  • Implement real world scenarios
  • Use time intelligence and statistical functions
  • Integrate into Power BI
  • Use best practices

Audience

This course is aimed at users of Power BI, Power Pivot, and at Analysis Services developers that want to learn and master the DAX language. You should have an excellent knowledge of Excel, to our Level 2 course outlines. You don’t need any experience of using DAX but we recommend that you attend our 2-day Data Modelling using Power BI course.

Duration

1 Day or 2 x 3 Hour Sessions

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