AI-Assisted DAX for Power BI: From Fundamentals to Advanced Calculations

About the Course:

Data Analysis Expressions (DAX) is the language for advanced calculations and data modeling in Microsoft Power BI, enabling analysts to create calculations that drive business insights.

In this 15-hour virtual, instructor-led, hands-on training, participants will learn to develop effective data models and write powerful DAX formulas for professional Power BI reporting. The course covers key concepts such as row context, filter context, CALCULATE function, time intelligence, table functions, and relationship functions, enabling participants to perform sophisticated analytical calculations.

The course also shows how Artificial Intelligence tools assist DAX development by helping users generate formulas from business requirements, explain complex expressions, debug calculations, and optimize analytical models.

Dr. Sameer Rohadia, a Microsoft Certified Power BI Professional and Microsoft Certified Trainer, stands out for training 30,000+ professionals, university professors, and students globally in Microsoft Power BI and Excel analytics. His courses are recognized for their effective structure, actionable insights, and clear learning paths, making this training distinctive.

By the end of the training, participants design robust data models, write advanced DAX formulas, and leverage AI-assisted techniques to boost productivity in Power BI analytics.

Course Objectives:

By the end of this course, participants will be able to:

• Understand the fundamentals of Data Analysis Expressions (DAX) in Microsoft Power BI.
• Design effective data models and relationships for analytical reporting.
• Create calculated columns and measures using DAX.
• Structure and format DAX formulas using functions, operators, and expressions.
• Understand row context and filter context, and how they affect calculations.
• Use the CALCULATE function to modify the filter context and perform advanced analysis.
• Apply filter functions such as ALL, REMOVEFILTERS, and KEEPFILTERS.
• Use table functions such as VALUES, DISTINCT, SUMMARIZE, and ADDCOLUMNS.
• Implement time intelligence calculations, including YTD, MTD, and period comparisons.
• Work with relationship functions such as USERELATIONSHIP, CROSSFILTER, and TREATAS.
• Use AI tools to generate, explain, and optimize DAX formulas.
• Debug and improve complex calculations using AI-assisted analytics techniques.
• Build dynamic calculations for real-world business reporting scenarios.

Who is the Target Audience?

• Aspiring data professionals who want to develop strong analytical skills and master DAX calculations in Microsoft Power BI, one of the leading Business Intelligence tools in the market.
• Excel users and business professionals who want to transition from spreadsheet-based analysis to building advanced calculations, data models, and interactive reports using Power BI and DAX.
• Data analysts and BI professionals who want to strengthen their expertise in DAX, data modelling, and advanced analytical calculations used in professional Power BI solutions.
• Students and early-career professionals seeking a comprehensive, practical, and hands-on introduction to DAX, along with modern AI-assisted techniques for writing and optimizing formulas.
• Anyone working with Power BI who wants to better understand how DAX formulas power advanced analytics and business insights.

Basic Knowledge:

• Some basic knowledge of Power BI is strongly encouraged.
• Recommend completing my “Microsoft Power BI Bootcamp” course available on the Train Engineers Online platform (25-hour virtual course) before registering for this one.