Advertisement
The Advanced DAX Formulas for Power BI Analytics Training Course builds skills in DAX, data modelling, and advanced analytics.About this Event
The by is designed to help professionals develop advanced skills in Data Analysis Expressions (DAX) for Power BI analytics. This practical course focuses on writing, optimizing, and applying DAX formulas to create sophisticated analytical solutions, dynamic reports, and high-performance Power BI models. Participants will explore advanced calculations, calculated columns, measures, time intelligence, filter context, row context, and performance optimization techniques. As part of the category, the course provides hands-on techniques for transforming complex business requirements into meaningful Power BI insights.
Objectives
By the end of this course, participants will be able to:
- Understand advanced concepts and syntax used in DAX formulas.
- Create sophisticated DAX calculations for Power BI analytics.
- Develop and optimize calculated columns and advanced measures.
- Apply row context, filter context, and context transition effectively.
- Use advanced aggregation and iterator functions in DAX.
- Implement time intelligence calculations for trends and period comparisons.
- Build dynamic calculations using variables and conditional logic.
- Analyze relationships and filter propagation across Power BI data models.
- Improve the performance and readability of complex DAX formulas.
- Troubleshoot and optimize DAX calculations for business intelligence dashboards.
Target Audience
This course is suitable for:
- Power BI Developers and Analysts
- Data Analysts and Business Intelligence Professionals
- Data Scientists and Visualization Specialists
- Reporting and Dashboard Developers
- Business Analysts
- BI Consultants
- Database and Data Professionals
- Professionals with basic Power BI and DAX knowledge seeking advanced skills
- Managers and decision-makers who work with Power BI analytics
Course Content
Module 1: Advanced DAX Fundamentals
- DAX syntax and evaluation concepts
- Understanding expressions and functions
- DAX data types and operators
- Evaluation context and calculation behavior
- Best practices for writing maintainable DAX formulas
Module 2: Row Context and Filter Context
- Understanding row context
- Working with filter context
- Context transition
- CALCULATE and CALCULATETABLE
- Modifying and removing filters
- Advanced filtering techniques
Module 3: Advanced Measures and Calculated Columns
- Creating advanced measures
- Designing calculated columns
- Choosing between calculated columns and measures
- Dynamic measures
- Conditional calculations
- Nested calculations and reusable logic
Module 4: Advanced DAX Functions
- Aggregation and iterator functions
- SUMX, AVERAGEX, MINX, and MAXX
- FILTER and ALL
- ALLEXCEPT and ALLSELECTED
- VALUES and DISTINCT
- RELATED and RELATEDTABLE
- Advanced logical and mathematical functions
Module 5: Time Intelligence with DAX
- Fundamentals of time intelligence
- Date tables and calendar structures
- Year-to-date and month-to-date calculations
- Previous-period and comparative analysis
- SAMEPERIODLASTYEAR
- DATEADD and PARALLELPERIOD
- Rolling periods and moving averages
- Year-over-year and month-over-month analysis
Module 6: Variables and Advanced Calculation Patterns
- Using VAR and RETURN
- Improving DAX readability
- Reusing intermediate calculations
- Dynamic thresholds and conditional logic
- Ranking and segmentation patterns
- Advanced business calculation patterns
Module 7: Advanced Data Modeling and DAX
- Relationships and filter propagation
- Star schema considerations
- Handling multiple date relationships
- Disconnected tables
- Virtual relationships
- DAX calculations across complex data models
Module 8: DAX Performance Optimization
- Identifying inefficient DAX formulas
- Improving measure performance
- Reducing unnecessary calculations
- Optimizing filter operations
- Understanding storage and formula engine behavior
- DAX performance troubleshooting techniques
Module 9: Advanced Analytics and Business Calculations
- Dynamic KPIs
- Percentage and variance calculations
- Ranking and top-N analysis
- Contribution and share calculations
- Dynamic segmentation
- Advanced financial and operational analytics
Module 10: Practical Power BI DAX Project
- Designing advanced analytical requirements
- Developing complex DAX formulas
- Creating interactive Power BI measures
- Applying time intelligence
- Testing and validating calculations
Advertisement
Event venue & nearby stays
16 Great Chapel St, London W1F 8FL, United Kingdom, 16 Great Chapel St, London, United Kingdom
Tickets
GBP 5506.55
Concerts, fests, parties, meetups — all the happenings, one place.