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Power BI is a business intelligence tool developed by Microsoft that allows users to connect to various data sources, visualize and analyze data, and share insights with others. It includes features such as data modeling, data visualization, and interactive dashboards. Power BI can be used to create reports and dashboards for a wide range of data, including business, financial, and operational data. It can be integrated with other Microsoft products such as Excel and SharePoint, as well as third-party data sources.
Content
Content
Section 1
Section 1
Over & Introduction To Power BI world
Section 2
Section 2
Power BI Desktop
Downloading Power BI and configuration
Exploring Power BI Desktop Interface & Workflow
Section 3
Section 3
Types of Data Connectors
Query Editor
Table Transformation
Working with Text
Working with Numeric
Working with Dates & Time Tools
Rolling calendar in Power BI
Generate Index & Conditional Columns
Grouping & Aggregating Records
Pivoting & Unpivoting Data
Merging Queries
Appending Queries
Appending Files from a Folder
Configuring Power BI Data source settings
Configuring Power BI Query Refresh settings
Additional Data types & Categories in Power BI
Defining Hierarchies in Power BI
Importing Models from Excel to Power BI
Power BI Data Connection Best Practices
Section 4
Section 4
Data Model Overview
Principals of Data Normalization
Data Tables vs Lookup Tables
Table Relationships vs Merged Tables
Creating Tables Relationship in Power BI Desktop
Snowflake schemas in Power BI
Managing & Editing Table Relationships
Managing Active vs Inactive Relationships
Relationship cardinality
Connecting Multiple Data Tables
Understanding Filter Flow
Two way filters in Power BI
Hiding Fields from Power BI Report View
Power BI model View
Section 5
Section 5
DAX Overview
DAX Calculated columns
DAX measures
Cal columns vs DAX measures
Implicit and Explicit DAX measure
Common DAX function
DAX best practices
Section 6
Section 6
Exploring Report View in Power BI Desktop
Basic Charts & Visuals
Conditional Formatting
Report Formatting Options
Exploring Data with Matrix Visuals
Data Slicers
Geospatial Data with Maps
Tree Maps
Line & Area Charts
Trend lines & forecast
Gauges Charts
Drill through filters
Bookmarks
Section 7
Section 7
AI Visuals
Correlation vs Causation
Section 8
Section 8
Live Project
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