What you’ll learn
At the end of the workshops, attendees will better understand how to:
Describe Power BI data models
Work with Data Analysis Expressions (DAX)
Perform the calculation basics
Define common business calculations
Microsoft Apps at Lumify Work
Lumify Work has been delivering effective training across all Microsoft products for over 30 years. We are proud to be both Australia's and New Zealand’s first Microsoft Gold Learning Solutions Partner and the winner of the Microsoft MCT Superstars Award for FY24, which formally recognises us as having the highest quality Microsoft Certified Trainers (MCTs) in ANZ. Join more than 5,000 students who attend our quality Microsoft courses every year.
Who is the course for?
This course has been designed specifically for experienced model developers. We recommend that attendees have prior experience working with Power BI Desktop to create data models.
Course subjects
Introduce Data Models
Write DAX Formulas
Define Calculated Tables and Columns
Define Measures
Use DAX Iterator Functions
Modify Filter Context
Use DAX Time Intelligence Functions
Prerequisites
In order to attend this course you must have Power BI Desktop installed on your local desktop or laptop prior to attendance. Download Power BI Desktop from Microsoft here. Power BI accessed through a browser or Microsoft Teams does not have the features and functionality needed to complete this course. Remote connection to your work desktop or laptop is also not suitable.
In addition you will need to be able to extract compressed (ZIP) files to your desktop or laptop.
We recommend dual monitors, especially if your primary monitor is a laptop screen.
End User Seminars
Seminar-style training is conducted in short sessions of 1-3 hours and is ideal for groups of up to 30 students.
M365 Adoption and Training Plans
Our aim is to help educate and enable your organisation to get the best return on your Microsoft 365 investment.
Terms & Conditions
The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.