✅Overview:

This topic covers how to connect Power BI to various data sources (e.g., Excel, SQL Server, cloud services) and transform the data using Power Query.

✅Key Concepts:

Data import, data cleaning, data transformation, and data modeling.

✅Overview:

This topic focuses on structuring and organizing data to create meaningful relationships between tables, enabling accurate analysis and reporting.

✅Key Concepts:

Relationships, calculated columns, measures, and the use of DAX (Data Analysis Expressions) for advanced calculations.

✅Overview:

This topic emphasizes the creation of reports and dashboards to visualize data effectively, using various visual elements such as charts, graphs, and maps.

✅Key Concepts:

Choosing the right visualizations, customizing visuals, creating interactive reports, and using slicers and filters.

✅Overview:

This topic delves into the Power Query Editor, which allows users to connect, combine, and refine data from multiple sources before loading it into Power BI.

✅Key Concepts:

Query editing, data transformation techniques (e.g., merging, appending), and applying filters and calculations within the query.