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 Power BI Pro, Power BI accessed via Office 365 or SharePoint Services – see course MDA100.
Anyone who is familiar with Microsoft Office applications and who needs to work with data to be able to connect, process and analyse the data 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.
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
- Able to apply data processing techniques such as filtering and pivot creation
- Power BI Desktop Concepts and Main Features
- Data Sources compatible with Power BI Desktop
- Connecting to Data with Power BI Desktop
- Apply Common Query Tasks to Shape Data in Power BI Desktop
- Explore Data Visualizations
- Work with Report formats and elements
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
- 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
- Use Append Queries
- Merge Data Tables
- Working with Relationships in Data
Lesson 3: Querying and Shaping the Data
- Activities using Query Editor
- Clean, Trim, Format and Replace
- Split Column or Extract Using Delimiters
- Column from Example
- Creating Custom Calculated Columns
- Adding Conditional Columns
- Introduction to DAX Expressions and Formula
Lesson 4: Data Visualizations
- Overview of Data Visualizations
- Tables and Matrix Views
- Applying Conditional Formats
- Interactive Slicers
- Date Slicers – dropdowns and searches
- Number Slicers with value ranges
- Date Slicers with Relative filters
- Drill Visualizations to see underlying data
- Create Reusable Field Hierarchies
- Record Grouping and Binning in Visualizations
- Analytics Lines in Visualizations
- Create Measures
- Create a KPI Visualization
- Drill Visualizations to see underlying Data
- Visual Table and Data Point Table
- Date Hierarchies
- Decomposition Tree
- Data Categories, Geo-Data and Maps
Lesson 5: Reports and Output Options
- Report Elements and Options
- Working with Pages
- Visual and Filter Settings
- Edit Interactions
- Report Themes
- Buttons and Q&A
QA reserves the right to improve the specification and format of its courses for the benefit of its customers without notice to the customer.
Power BI course selector infographic
|Course code||Course title|
|QAPBIRDB||Microsoft Power BI Reports and Dashboards for Business Users|
|QAPBIDE||Microsoft Power BI Desktop Essentials|
|QAPBISERV||Power BI Service|
|QAPBIDT3||Power BI Desktop for Business Users|
|QAPBIDESK||Power BI Desktop for Technical Users|
|QAPBIDAX||Using DAX in Power BI|
|MPL300||Microsoft Power BI Data Analyst|
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