Master advanced DAX in Power BI for data modeling, analytics & business intelligence, with a top Power BI instructor!
InstructorMaven Analytics (2,000,000+ Learners)Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This diagram illustrates the technical workflow of query evaluation, detailing how the Formula Engine interprets DAX queries and coordinates with the Storage Engine to return results.
This slide explains Run Length and Hash encoding techniques used by VertiPaq to compress columnar data based on cardinality and repeat values.
This screenshot displays the Power BI Desktop interface where a user is writing a DAX measure named QTD Sales using variables and conditional logic.
This screenshot displays the DAX Studio interface with an active query trace, showing specific performance metrics like SE CPU time and row counts for optimization analysis.
Covers the underlying architecture of DAx, specifically focusing on VertiPaq columnar data structure, compression, and encoding methods.
Includes complex time intelligence such as automatic date tables, fiscal calendars, and week-based calculations.
One signal from April 2026 suggests assignments may feature unrealistic scenarios or unclear objectives that deviate from the lecture context; note that the Udemy update label does not prove these issues were corrected.
One signal from May 2026 indicates the course may require more prior knowledge of storage and DAX than is explicitly covered in introductory material; note that the Udemy update label does not prove these issues were corrected.
Signals suggest a mismatch between the expected difficulty and the actual prerequisite knowledge required for some learners.