
[100% Off] Advanced Dax In Microsoft Power Bi For Data Analysis
Master advanced DAX, CALCULATE, time intelligence, filter context, and analytics in Power BI
Requirements
- Basic understanding of Microsoft Power BI
- Familiarity with Power BI reports and data models is helpful
- No prior advanced DAX knowledge required
Description
Data Analysis Expressions) (DAX) is one of the most powerful and often most challenging components of Microsoft Power BI.
If you want to build advanced calculations, create dynamic reports, optimize data models, and develop professional Power BI dashboards, then mastering DAX is essential.
This course is designed to help you move beyond basic Power BI reporting and develop a deeper understanding of advanced DAX concepts used in real-world analytics and business intelligence workflows.
You’ll learn how DAX engines work, understand filter context and evaluation flow, work with CALCULATE and context transition, build advanced measures, use iterator functions, create calculated tables, and apply advanced time intelligence calculations in Power BI.
The course also covers relationship functions, table manipulation, filter functions, reusable date tables, fiscal calendar calculations, ranking functions, and DAX best practices used by analysts and BI professionals.
Throughout the program, the focus remains on practical understanding and real implementation rather than memorizing formulas.
You’ll work through step-by-step examples designed to help you confidently write, optimize, and understand DAX calculations used in professional Power BI environments.
Whether you are a Power BI user, analyst, reporting professional, dashboard developer, or someone looking to strengthen your business intelligence skills, this course can help you build a strong foundation in advanced DAX concepts and calculations.
Why Take This Course
· Covers advanced DAX concepts step by step
· Focuses on practical implementation instead of only theory
· Includes real-world Power BI calculation workflows
· Explains complex DAX concepts in a structured and simplified way
· Covers advanced time intelligence and relationship calculations
· Includes practical examples for deeper understanding
· Designed for learners who want to move beyond basic Power BI reporting
What Makes This Course Different
Focuses specifically on advanced DAX concepts and calculations
Explains complex DAX logic in a structured and beginner-friendly manner
Covers practical Power BI reporting and analytics workflows
Includes advanced topics like context transition, iterator functions, and time intelligence
Covers both DAX theory and practical implementation
Includes real examples to strengthen conceptual understanding
Designed to help learners move beyond basic Power BI reporting
By the End of This Course, You Will Be Able To
Write advanced DAX calculations confidently in Power BI
Understand filter context, row context, and context transition clearly
Build dynamic measures using CALCULATE and advanced DAX functions
Create reusable date tables and advanced time intelligence calculations
Work with iterator, table, and relationship functions effectively
Build more advanced and analytical Power BI reports and dashboards
Optimize calculations using structured DAX best practices
Apply advanced DAX concepts in real-world reporting and analytics workflows
Develop stronger business intelligence and data modeling skills in Power BI
About the Course Director
This course is designed and guided by Dheeraj Vaidya, CFA, FRM, Co-Founder of WallStreetMojo and ExcelMojo, with extensive experience in finance training and professional education.
Dheeraj is an IIT and IIM alumnus and has previously worked with organizations such as JPMorgan and CLSA as an analyst. Over the years, he has helped train more than 100,000 learners through structured and industry-focused finance and analytics training programs.
As the course director, he focuses on creating practical, structured, and application-oriented learning experiences that simplify complex concepts and help learners apply them confidently in real-world business and finance environments.
Author(s): Excel Mojo







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