COURSE OBJECTIVE:
By actively participating in this course, you will learn about the following:
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Identify Power BI Desktop concepts and features.
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Use data sources that are compatible with Power BI Desktop.
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Connect to and manipulate data using the Power Query Editor.
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Apply common query tasks to shape data in Power BI Desktop.
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Explore data visualisations.
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Create and publish reports to the Power BI service.
TARGET AUDIENCE:
This introductory course is perfect for users who are looking to make a bigger impact with the way they report on data through visualisations. The course will be of particular benefit to team leaders, management at all levels, or anyone who needs to commission the production of reports or dashboards.
Please note that this course does not cover PowerBI Pro, PowerBI accessed via Microsoft 365 or SharePoint Services.
COURSE PREREQUISITES:
We recommend that delegates have existing experience with Excel or Databases and should understand basic data concepts. Delegates should also know how to create and format chart outputs and should have a basic understanding of Functions (ideally Aggregate Functions).
If you are attending our Virtual Classroom training, you will need a laptop or PC with a working microphone and two screens. A webcam is also recommended for the best experience! You will also need to have both Power BI Desktop and Power BI Service (part of Microsoft 365 Apps), available on your device.
Software Requirements for Virtual Classroom
Delegates will need to have an Office 365 subscription with access to Power BI and have the desktop version installed on their PC. We strongly recommend that delegates also check that their PC meets the Minimum Requirements as outlined on the Microsoft Website in order to run Power BI effectively.
This course is not suitable for MAC users.
COURSE CONTENT:
Getting Started with Power BI
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Concepts and overview
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Introduction to main features
Connect to a Data Source
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Data sources Power BI will connect to
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Methods of connecting to data
Get data and query using Power Query Editor
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Shape, clean and transform data
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Combining data sources
Working with Relationship View
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Understanding relationships
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Create using AutoDetect
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Create relationships manually
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Cross Filter
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Join Types
Visualisations
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What is available?
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Create a quick visualisation
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Table and matrix visualisation
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Conditional formatting
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KPI visualisation
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Slicers
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Drill visualisation to see underlying data
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Clustering
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GEO-data and Maps
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Publishing
Using Power BI Service
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Pin visuals to Dashboards
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Export visuals to other platforms
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Get insights
FOLLOW ON COURSES:
Microsoft 365 Power BI Level 2