There are millions of Microsoft Excel users who are familiar with using Excel formulas to perform calculations.
Those calculations may be as simple as adding up a column of numbers, or they may be far more complex simulations of various business models.
But in every case, each formula is built using a combination of basic operators and functions that are provided within Excel.
Similarly, for professional BI solution developers using Multidimensional Expressions (MDX) in multidimensional model solutions, the fundamental concepts of creating calculations by using formulas is much the same; however, the differences in syntax, operators, and functions between MDX and DAX formulas is greater than it is between Excel and DAX formulas.
Whether you are familiar with Excel or MDX formulas, this basic understanding of formulas is important when developing tabular data modeling solutions.
While understanding Excel or MDX formulas will give you a head start in learning DAX, it is not necessary.
DAX formulas are very similar to Excel formulas, and there is considerable overlap between the list of DAX functions and Excel functions.
But there are also significant differences, and many new functions in DAX that don’t exist within Excel.
These functions are designed to offer capabilities that focus on data analysis, particularly for related tables of data, and for dynamic analysis.
This training introduces Data Analysis Expressions (DAX), a formula expression language used to define calculations in PowerPivot for Excel® workbooks, tabular model projects authored in SQL Server Data Tools and in Power BI Desktop. DAX functions provide extensive filtering to calculate on data across multiple tables, work with relationships, and perform dynamic aggregation.
This course has no certification.
Info to come…
Module 1: Introducing the Power BI Desktop model structure, star schema design basics, analytics queries, and report visual configuration.
Module 2: Writing DAX formulas to create calculated tables, calculated columns, and measures.
Module 3: Add calculated tables and calculated columns to your data model.
Module 4: Work with implicit and explicit measures and recognize the similarities of, and differences between, a calculated column and a measure.
Module 5: Introducing DAX iterator functions
Module 7: Adding DAX time intelligence calculations to your model.
Course Overview
25 900 kr
3 days
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The course can be adapted from several perspectives:
In interaction with the course leader, we ensure that the course meets your needs.
Stockholm
Göteborg
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