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Advanced DAX in Power BI Course Overview

Advanced DAX in Power BI Course Overview

Advanced DAX in Power BI Course Overview

Unlock the full potential of Power BI with our Advanced DAX course. Spanning 24 hours over 3 days, this course delves into advanced topics like time-intelligence functions, custom aggregation, bidirectional relationships, and more. You'll learn by doing, with hands-on exercises and real-world case studies.

Learning Objectives:
- Master DAX syntax and formatting
- Develop complex calculated columns and measures
- Optimize data models with virtual tables and hierarchies
- Implement advanced filtering using functions like CALCULATE and FILTER

By the end of this course, you'll be equipped to tackle complex data modeling and analysis tasks, enhancing your Power BI proficiency for impactful business insights.

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Target Audience for Advanced DAX in Power BI

Power BI Advanced DAX


Master the intricate functionalities of DAX within Power BI to elevate your data modeling and analytical capabilities. Ideal for professionals with foundational DAX and data modeling knowledge.


Target Audience and Job Roles:


  • Data Analysts
  • Business Intelligence Analysts
  • Data Scientists
  • Financial Analysts
  • Power BI Developers
  • Excel Power Users
  • Business Analysts
  • Database Administrators
  • Reporting Analysts
  • IT Professionals
  • Data Engineers
  • BI Consultants
  • Management Information Systems (MIS) Analysts
  • Decision Support Analysts
  • Actuaries
  • Market Researchers


Learning Objectives - What you will Learn in this Advanced DAX in Power BI?

Introduction:

The Advanced DAX in Power BI course dives deep into complex data analysis techniques, covering advanced DAX functions, time intelligence, optimization strategies, and sophisticated data modeling tactics. Gain hands-on experience through comprehensive exercises and real-life Case Studies.

Learning Objectives and Outcomes:

  • Master advanced DAX syntax and formatting techniques.
  • Develop proficiency in creating and utilizing calculated columns and measures.
  • Understand and apply different evaluation contexts such as filter and row contexts.
  • Employ advanced filtering techniques using the CALCULATE function with single and multiple filters.
  • Utilize DAX table functions and differentiate between column and table filters.
  • Implement various ALL functions and their variations to manipulate data sets.
  • Apply DAX Time Intelligence functions for performing calculations on date values.
  • Distinguish between empty values and zero, and use functions like BLANK(), ISBLANK(), and COALESCE to handle them.
  • Enhance code readability and performance by using variables effectively.
  • Control the direction of filter propagation and manage bidirectional relationships in data models.

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