DAX (Data Analysis Expressions) is the language of such analytical tools as PowerBI, Power Pivot and SQL server. Having a thorough understanding of DAX will allow you to develop visualisations and present data in any way you want.
DAX (Data Analysis Expressions) is the language of such analytical tools as PowerBI, Power Pivot and SQL server. Having a thorough understanding of DAX will allow you to develop visualisations and present data in any way you want.
No longer are you constrained to using the standard formula that comes with Excel. You no more have to work out complex time analysis functions that should be straightforward. Formulas such as Year to Date or Quarter to Date or even working out how much you''ve earned this financial year.
Although DAX can be used in a number of scenarios, the course primarily concentrates on DAX for PowerBI. You will see how understanding more about DAX will give you power and control over your visualisations and in that way allow you to present your data in a fantastically clear way.
Course Outline:
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DAX (Data Analysis Expression) is a customised formula expression language and can be integrated with different BI (Business Intelligence) and Visualization tools. Power BI DAX is one such powerful application tool developed and released by Microsoft. DAX is also familiar as a functional language, ...
???????This 1 day course covers the essential skills in power b: connecting, extracting & loading data into the data model, then visualising it with a rich set of graphics, charts and dashboards.
This 4-day course is intended for anyone who is new to designing and implementing self-service Business Intelligence (BI) solutions using Microsoft Power BI Desktop and the Power BI Service. It is ideal for anyone who needs a total immersion in the subject matter as the course structure is very com...
Master the basics of DAX fast on this 1-day introduction to DAX course.
Things that you'll learn on this two-day course include, how to load data from all manner of different sources, and how to build a data model and more.
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