2. Topics
• Overview of Power BI
• Power BI Interface
• Power BI Workspace
• Basic Navigation
• Connecting to Data Sources
3. What is
Power BI?
• Power BI is a business
analytics service by
Microsoft that provides
interactive visualizations
and business intelligence
capabilities with an
interface simple enough
for end users to create
their own reports and
dashboards.
4. Power BI Interface
• The Power BI interface consists of various
components such as the ribbon, canvas, visuals,
and more. It provides a user-friendly environment
for creating, editing, and viewing reports and
dashboards.
5. Power BI
Workspace
• The Power BI workspace is where you
organize and collaborate on your Power BI
content. It includes dashboards, reports,
datasets, and dataflows. Workspaces can be
shared with others for collaboration.
6. Basic Navigation
• Navigating through Power BI involves using the left navigation pane, exploring different
sections, and interacting with visuals. The interface is designed to be intuitive and user-
friendly.
7. Connecting to Data Sources
• Overview of Data Sources:
• Excel
• CSV Files
• Databases (SQL Server, MySQL, Oracle)
• Cloud Services (Azure, OneDrive, SharePoint)
8. Connecting to Excel
• Steps to Connect:
• Click on "Get Data."
• Select "Excel" from the list.
• Choose the Excel file.
• Load selected data into Power BI.
9. Importing from CSV Files
• Steps to Import:
• Click on "Get Data."
• Select "Text/CSV" from the list.
• Choose the CSV file.
• Specify delimiter and data type options.
• Load the data into Power BI.
10. Connecting to Databases
Steps to Connect:
• Click on "Get Data."
• Choose the database type (SQL Server,
MySQL, Oracle).
• Enter connection details.
• Write or import queries.
• Load the data into Power BI.
11. Integration with Cloud
Services
Supported Cloud Services:
• Azure SQL Database
• Azure Data Lake Storage
• OneDrive
• SharePoint Online
Steps to Connect:
• Click on "Get Data."
• Choose the cloud service.
• Authenticate and provide credentials.
• Select specific datasets or files.
• Load the data into Power BI.