Master Excel Power Query, Power Pivot & DAX for advanced data analysis & business intelligence w/ a top Excel instructor
InstructorMaven Analytics (2,000,000+ Learners)Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This image displays an Excel Data Model diagram featuring a star schema where dimension tables such as Customer and Product are linked to central fact tables for transactions.
This workflow diagram illustrates the Power Excel landscape, mapping the progression from raw data sources through Power Query and Data Modeling to final analysis with Power Pivot and DAX.
This view displays the Excel Measure dialog box where a user is defining a DAX formula using the CALCULATE function for a measure named Mexico Transactions.
The image shows the Power Query Editor interface with a dataset containing date-related columns and transformation steps visible on the right sidebar.
The curriculum covers essential database design principles including normalization, cardinality, and managing active vs. inactive relationships.
Instruction includes a wide range of functions, specifically covering logical, iterator (SUMX, RANKX), and time intelligence formulas.
Lessons build sequentially from Power Query data shaping to complex analysis within the Excel Data Model.
Project files may present date format friction (mm/dd/yyyy) for certain regions, and some signals suggest a need for more realistic, messy datasets. Note that while the course has an update label, several negative reviews predating this label suggest these issues may persist.
Project files may present date format friction (mm/dd/yyyy) for certain regions, and some signals suggest a need for more realistic, messy datasets. Note that while the course has an update label, several negative reviews predating this label suggest these issues may persist.
The curriculum aligns well with the goal of advanced Excel analytics for professional users.
