Understand data models - You will learn how to build and read a data model, connect tables correctly, understand analytical context, and avoid mistakes that can distort report results.
Write DAX formulas confidently - You will practice DAX syntax and core concepts, so you can create calculated columns and measures on your own to answer specific business questions.
Master relationships and filters - You will see how active and inactive relationships work and how filtering affects results, so you can control analysis output and interpret model data with confidence.
Use key DAX functions - You will work with aggregation, text, logical, statistical, and filtering functions, which will help you create useful measures faster in day-to-day analytical work.
Build tables and hierarchies - You will learn to create parameter tables, calculated tables, and hierarchies that make data navigation easier and support comparisons at different levels of detail.
Calculate time-based metrics - You will prepare a calendar table and apply time intelligence functions to calculate running totals, month-over-month and year-over-year results, and custom date ranges.
Prepare data in M - You will learn how to import, clean, and transform data in M, so you can structure source data before analysis and reduce manual fixes outside the reporting process.
Speed up your analysis work - After the training, you will be able to combine data preparation in M with calculations in DAX, helping you build consistent analyses faster and improve your own reports.
Basic data handling - You should be comfortable working with data tables, understand the difference between rows and columns, and be able to read the structure of a simple dataset before analysis.
Spreadsheet or reporting experience - You should have experience with spreadsheets or simple reports so you can move more easily into data modeling, transformations, and calculation building during the course.
Analytical thinking - You should be able to compare results, spot relationships in data, and frame analytical questions, because the training focuses on practical calculations and interpretation.
Readiness to work with formulas - You should be ready to work with formulas and conditional logic, as the training includes creating measures, calculated columns, and data transformation steps.
