Advanced DAX Techniques in Power BI

• Understand DAX evaluation concepts.
• Work with row context and filter context.
• Understand context transition.
• Use CALCULATE for advanced calculations.
• Work with advanced table and filter functions.
• Use iterator functions for complex calculations.
• Create calculated tables, columns, and measures.
• Use relationship functions in DAX.
• Create reusable date tables.
• Apply advanced time-intelligence calculations.
• Use DAX variables and best practices.
• Develop dynamic analytical calculations.
• Apply DAX to real-world Power BI reporting scenarios.

Module 1: DAX Fundamentals Review

• Introduction to DAX
• DAX data types
• DAX operators
• DAX functions
• Measures
• Calculated columns
• Calculated tables
• Data modeling fundamentals
• Relationships and cardinality
• Filter flow
• Evaluation context

Module 2: DAX Evaluation Context

• Row Context
• Filter Context
• Evaluation Context
• Context Transition
• Understanding filter propagation
• Understanding how Power BI visuals affect DAX calculations

Module 3: Advanced CALCULATE

• Introduction to CALCULATE
• Modifying filter context
• Using Boolean filter expressions
• Using table filter expressions
• Combining multiple filters
• Removing filters
• Preserving filters
• Advanced CALCULATE patterns

Module 4: Table and Filter Functions

• FILTER
• ALL
• ALLEXCEPT
• ALLSELECTED
• REMOVEFILTERS
• VALUES
• DISTINCT
• SELECTEDVALUE
• ADDCOLUMNS
• SUMMARIZE
• Calculated tables
• Virtual tables

Module 5: Iterator Functions

• Understanding iterator functions
• SUMX
• AVERAGEX
• MINX
• MAXX
• COUNTX
• CONCATENATEX
• Row-by-row calculations
• Combining iterators with CALCULATE

Module 6: DAX Variables and Advanced Expressions

• Creating DAX variables
• Using variables in measures
• Improving formula readability
• Simplifying complex calculations
• Reusing intermediate results
• DAX error handling
• DAX best practices Udemy

Module 7: Relationship Functions

• Understanding relationship-based calculations
• RELATED
• RELATEDTABLE
• USERELATIONSHIP
• CROSSFILTER
• TREATAS
• Working with inactive relationships
• Advanced relationship calculations Udemy

Module 8: Time Intelligence

• Creating reusable date tables
• Date and calendar functions
• Year-to-date calculations
• Month-to-date calculations
• Previous-period calculations
• Same-period comparisons
• Year-over-year analysis
• Fiscal-period analysis
• Parallel-period analysis
• Advanced time-intelligence patterns Udemy

Module 9: Ranking and Advanced Analytics

• Ranking concepts
• RANKX
• Top-N analysis
• Dynamic ranking
• Percentages and ratios
• Comparative analysis
• Dynamic analytical measures

Module 10: DAX Optimization and Best Practices

• Writing efficient DAX
• Understanding DAX query evaluation
• Identifying inefficient calculations
• Improving measure performance
• DAX Studio
• Performance Analyzer
• Debugging DAX expressions
• DAX coding best practices Udemy

Module 11: Advanced DAX Business Scenarios

• Dynamic measures
• Advanced sales calculations
• Customer analysis
• Inventory analysis
• Store-level performance analysis
• Time-based performance analysis
• Complex business calculations
• Applying DAX to real-world Power BI reports

1 Days

Course Completion Certificate by Network Binary

• Create calculated columns and measures.
• Build calculated tables.
• Work with row and filter context.
• Demonstrate context transition using CALCULATE.
• Create measures using advanced filter functions.
• Build virtual tables using DAX table functions.
• Apply iterator functions such as SUMX and AVERAGEX.
• Create measures using VALUES, SELECTEDVALUE, and ALLSELECTED.
• Work with RELATED, USERELATIONSHIP, CROSSFILTER, and TREATAS.
• Build reusable date tables.
• Create YTD and MTD calculations.
• Perform year-over-year analysis.
• Create fiscal-period calculations.
• Build dynamic ranking measures using RANKX.
• Create dynamic analytical measures using variables.
• Troubleshoot complex DAX expressions.
• Analyze DAX performance using Performance Analyzer and DAX Studio.
• Build advanced Power BI analytical reports using DAX.

• Power BI users looking to strengthen DAX skills.
• Data analysts.
• Business intelligence professionals.
• Dashboard developers.
• Reporting professionals.
• Finance and analytics professionals using Power BI.
• Professionals who already understand Power BI fundamentals and want to advance their DAX skills.

• Basic understanding of Microsoft Power BI.
• Familiarity with Power BI reports and data models.
• Basic knowledge of DAX.
• Understanding of Power BI relationships and data modeling.
• Experience creating basic measures is helpful.