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Microsoft Power BI Training: Learn Data Visualization and Business Intelligence

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Curriculum
1
Introduction to Microsoft Power BI 8
2
Power BI Installation and Environment Setup 8
3
Data Sources and Data Connectivity 8
4
Data Importing, Cleaning, and Transformation 8
5
Advanced Power Query and M Language 1

Introduction to Microsoft Power BI

8 topics in this module

1
What Is Microsoft Power BI?
2
History and Evolution of Power BI
3
Understanding Business Intelligence (BI) and Data Analytics
4
Features, Benefits, and Limitations of Power BI
5
Power BI vs. Microsoft Excel vs. Tableau
6
Overview of Power BI Desktop, Power BI Service, and Power BI Mobile
7
Real-World Business Applications of Power BI
8
Power BI Career Roles and Industry Use Cases

Power BI Installation and Environment Setup

8 topics in this module

1
Power BI Development Environment Fundamentals
2
Installing and Configuring Power BI Desktop
3
Exploring the Power BI Desktop Interface
4
Understanding Report View, Table View, and Model View
5
Working with Data, Visualizations, and Filters Panes
6
Configuring Regional, Language, and Data Settings
7
Connecting Power BI Desktop to Power BI Service
8
Creating and Saving Your First Power BI Report

Data Sources and Data Connectivity

8 topics in this module

1
Introduction to Power BI Data Sources
2
Connecting to Excel and CSV Files
3
Importing Text Files and Data from Folders
4
Connecting to SQL Server and Relational Databases
5
Connecting to Web Sources and APIs
6
Connecting to SharePoint and Microsoft Online Services
7
Understanding Import, DirectQuery, and Live Connection Modes
8
Managing Data Source Credentials and Connection Settings

Data Importing, Cleaning, and Transformation

8 topics in this module

1
Introduction to Power Query Editor
2
Understanding Queries, Applied Steps, and Transformation History
3
Removing Duplicate Records and Handling Missing Values
4
Changing Data Types and Formatting Columns
5
Renaming, Removing, and Reordering Columns
6
Splitting, Merging, and Extracting Column Values
7
Filtering, Sorting, Replacing, and Cleaning Data
8
Applying Transformations and Loading Data into Power BI

Advanced Power Query and M Language

1 topics in this module

1
Designing Reusable Power Query Workflows
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