Power BI Desktop is part of the suite of tools from Microsoft which enable data to be analysed and published from a variety of sources.
With Power BI Desktop, you get a report authoring tool that enables you to connect to and query data from different sources using the Query Editor. From the datasets you build with Query Editor you can create Reports and Visualizations or dashboards within Power BI Desktop. Reports can then be published.
This course covers the use of Power BI Desktop to connect to data, create Visualizations, query the data and publish reports.
Please Note: This course does not cover Microsoft’s Power BI Pro (see M20778), Power BI accessed via Office 365 or SharePoint Services.
- Anyone who is an experienced user of Microsoft Office applications and who needs to work with data in order to connect to, process, analyse in order to produce suitable output at all levels within an organisation.
- It is assumed that attendees on the course are already familiar with charts and PivotTable concepts.
- Power BI Desktop Concepts and Main Features
- Data Sources compatible with Power BI Desktop
- Connecting to Data with Power BI Desktop
- Explore Data Visualizations
- Apply Common Query Tasks to Shape Data in Power BI Desktop
- Create and publish Reports
Lesson 1: Getting Started with Power BI Desktop
- Power BI Concepts and Overview
- Introduction to Main Features
- Filters and Queries
Lesson 2: Connecting to Data Sources with Power BI Desktop
- Data Sources Power BI Desktop will connect to
- Data Types and Properties in Power BI Desktop
- Import and Enter Data
- Get Data and Query Editor
- Introducing the Query Editor
- Using the Query Editor to Connect to Data
- Combining Data Sources as a Mash Up
- Working with Relationships in Data
Lesson 3: Data Visualizations
- Overview of Data Visualizations
- Tables and Matrix Views
- Applying Conditional Formats
- Interactive Data and Date Slicers
- Drill Visualizations to see underlying data
- Create Reusable Field Hierarchies
- Record Grouping and Binning in Visualizations
- Drill Visualizations with using Dates
- Analytics and Forecast Lines in Visualizations
- Creating Role Based Views
- Data Categories, Geo-Data and Maps
Lesson 4: Querying and Shaping the Data
- Common Activities using Query Editor
- Pivot and Group By
- Creating Custom Calculated Columns
- Adding Conditional Columns
- Introduction to DAX Expressions
Lesson 5: Reports and Output Options
- Report Elements and Options
- Working with Pages
- Adding Graphics
- Visual and Filter Settings
- Export Power BI Data to CSV
- Create a Power BI Template
QA reserves the right to improve the specification and format of its courses for the benefit of its customers without notice to the customer.
- Please note that this course is not suitable for new Excel or database users
- An understanding of basic data concepts
- Ability to create, format chart outputs
- Be able to create formulas using standard aggregate functions
- Attendance on QAEX13PT1, QAEX13PT2, QAEX16PT1, QAEX16PT2 or equivalent knowledge is a prerequisite for this course.
Keywords: Power BI