YoVDO

Learning Microsoft Power BI Desktop

Offered By: LinkedIn Learning

Tags

Microsoft Power BI Courses Business Intelligence Courses Data Analysis Courses Data Visualization Courses Data Transformation Courses Data Modeling Courses Power Query Courses Power BI Desktop Courses

Course Description

Overview

Learn how to connect and transform your data with Power BI Desktop, the powerful data analysis and visualization software from Microsoft.

Syllabus

Introduction
  • Model and visualize your data with Power BI Desktop
  • What you need for this course
1. Getting Started
  • Power BI tools
  • Install Power BI Desktop
  • Launch Power BI Desktop
2. Get Data
  • Power BI data sources: The basics
  • Connect to a file: Excel
  • Connect to a file: CSV
  • Connect to databases
  • Connect to a web data source
  • Connect to a SharePoint list
  • Connect to Microsoft Dataverse
  • Advanced connection types: DirectQuery and live connections
  • Open a PBIX file or Excel data model
  • Change the data source for a PBIX file
3. Transform Data with the Power Query Editor
  • Use the Power Query Editor
  • Reduce rows
  • Filter, set data type, replace values
  • Unpivot columns
  • Transform columns
4. Combine, Append, and Merge Data
  • Prep to combine multiple tables
  • Append data to a query
  • Add an index column
  • Clean up data
  • Relate tables in your model
  • Hide or display queries
  • Merge data
5. Create Reports and Visualizations
  • Use the Power BI Desktop report view
  • Format visualizations and apply themes
  • Create text visuals: Cards, table, and matrix
  • Apply preset styles and conditional formatting
  • Apply formatting to titles
6. Use Filters and Q&A in a Report
  • Use slicers to filter visuals
  • Filter reports and pages
  • Add search capabilities with a Q&A visualization
  • Add suggestions to a Q&A visualization
7. Share Your Work
  • Sharing: The basics
  • Publish from Power BI Desktop
  • Get a PBIX file from the Power BI Service
  • Display Power BI content in Microsoft Teams
  • Republish a dataset to the Power BI Service
Conclusion
  • Next steps

Taught by

Gini von Courter

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