DAX (Data Analysis Expressions) Training Course

This course equips participants with the knowledge and practical skills required to use DAX (Data Analysis Expressions) for advanced data modeling and analytics in tools such as Power BI and Power Pivot. It focuses on creating calculated columns, measures, and dynamic reports that support business intelligence and decision-making. Participants will learn how to build powerful analytical models, perform complex calculations, and enhance data insights through DAX formulas.

Target Groups

• Data analysts and business intelligence professionals
• Power BI developers and users
• Finance and reporting professionals
• Data scientists and analytics specialists
• IT professionals working with data models
• Students pursuing data analytics or business intelligence

Course Objectives

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

• Understand fundamentals of DAX and its role in BI.
• Create calculated columns and measures.
• Apply DAX functions for data analysis.
• Build dynamic and interactive reports.
• Use time intelligence functions effectively.
• Perform advanced filtering and context analysis.
• Optimize DAX formulas for performance.
• Develop reusable analytical models.
• Support business decision-making with DAX insights.
• Integrate DAX into Power BI solutions.

Course Modules

Module 1: Introduction to DAX & Data Modeling

• Overview of DAX and its importance in BI
• Relationship between DAX, Power BI, and Power Pivot
• Basic concepts of data models
• Row context vs filter context
• Case studies in DAX usage

Module 2: DAX Syntax & Basic Functions

• Structure of DAX formulas
• Basic aggregation functions (SUM, AVERAGE, COUNT)
• Logical functions (IF, SWITCH)
• Text and numeric functions
• Creating simple measures

Module 3: Calculated Columns & Measures

• Difference between columns and measures
• Creating calculated columns
• Writing and optimizing measures
• Use cases in business reporting
• Best practices in DAX modeling

Module 4: Filter Context & Row Context

• Understanding context in DAX
• How filters affect calculations
• Using CALCULATE function
• Modifying filter context
• Advanced context manipulation

Module 5: Advanced DAX Functions

• RELATED and RELATEDTABLE functions
• ALL, ALLEXCEPT, and filter removal functions
• SUMX, AVERAGEX and iterator functions
• EARLIER function usage
• Complex calculation scenarios

Module 6: Time Intelligence Functions

• Introduction to time-based analysis
• Year-to-date, month-to-date calculations
• Comparing periods (YoY, MoM)
• Moving averages and trends
• Financial reporting applications

Module 7: Data Modeling with DAX

• Building relationships in data models
• Star schema optimization
• Managing hierarchies
• Improving model performance
• Designing scalable models

Module 8: Performance Optimization in DAX

• Writing efficient DAX formulas
• Avoiding common performance issues
• Using variables (VAR) for optimization
• Reducing calculation complexity
• Query performance tuning

Module 9: DAX in Power BI Reporting

• Integrating DAX into dashboards
• Creating dynamic KPIs
• Interactive reporting techniques
• Advanced visual calculations
• Business intelligence applications

Module 10: Capstone Project & Case Studies

• Real-world DAX analytics scenarios
• Group project: building a Power BI model using DAX
• Financial and operational reporting exercises
• Dashboard development and insights presentation
• Emerging trends in DAX and advanced analytics modeling