“Power BI DAX Mastery” is an intensive training course designed to equip data analysts and business intelligence professionals with advanced skills in Data Analysis Expressions (DAX). This course provides a comprehensive understanding of DAX, enabling participants to build sophisticated data models, create complex calculations, and develop insightful Power BI reports.

Led by expert trainer Ali Noorani, this course focuses on practical applications, best practices, and hands-on problem-solving techniques. Participants will gain valuable insights into DAX’s role in data modeling, visualization, and analytics, empowering them to drive data-driven decision-making within their organizations.

By the end of this course, attendees will have mastered advanced DAX functionalities, allowing them to perform in-depth data analysis and create dynamic, interactive reports that provide valuable business insights.

Course Outline:

1. Introduction to Advanced DAX Concepts
   • Overview of DAX and its importance in Power BI.
   • Key differences between Calculated Columns and Measures.
   • Understanding the foundational principles of DAX.
2. Building and Optimizing Data Models
   • Introduction to data modeling in Power BI.
   • Best practices for creating and managing data models.
   • Techniques for visualizing data effectively.
3. Understanding and Applying Filter Context
   • Deep dive into filter context and its impact on DAX calculations.
   • How to use filter context to control data visibility and calculation results.
   • Practical examples of using filter context in real-world scenarios.
4. Creating and Using Measures
   • Step-by-step guide to creating basic and advanced measures.
   • Techniques for using measures to perform dynamic calculations.
   • Examples of measures for common business scenarios (e.g., total sales, profit margin).
5. Advanced Problem-Solving with DAX
   • Strategies for solving complex analytical problems using DAX.
   • How to use DAX functions such as CALCULATE, FILTER, and SUMX to solve business problems.
   • Case studies demonstrating the application of DAX for business insights.
6. Implementing Time Intelligence Functions
   • Overview of time intelligence functions in DAX.
   • Techniques for calculating year-over-year growth, month-over-month trends, and moving averages.
   • Practical exercises to understand time-based calculations and forecasts.
7. Dynamic Filtering and Interactive Reporting
   • How to implement dynamic filtering using slicers and DAX.
   • Creating interactive reports that respond to user selections.
   • Examples of dynamic reporting for different business dimensions (e.g., by region, by product category).
8. Creating and Using Calendar Tables
   • Importance of calendar tables in time-based analysis.
   • How to create a calendar table using DAX.
   • Best practices for managing date-related data in Power BI.
9. Practical Applications of DAX in Business Scenarios
   • Real-world examples of using DAX to address business needs.
   • How to create dashboards that provide actionable insights.
   • Techniques for using DAX to optimize business operations and strategy.