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
Course summary video
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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