Here is a Quick Recap of Power BI Concepts for Data Analyst Interviews:
Power Query: The data transformation engine that lets you clean, reshape, and combine data before loading it into Power BI.
Data Model: A structure of tables, relationships, and calculated fields that supports report creation.
Relationships: Connections between tables that allow you to create reports using data from multiple tables.
DAX (Data Analysis Expressions): A formula language used for creating calculated columns, measures, and custom tables.
Visualizations: Graphical representations of data, such as bar charts, line charts, maps, and tables.
Slicers: Interactive filters added to reports to help users refine data views.
Measures: Calculations created using DAX that perform dynamic aggregations based on the context in your report.
Calculated Columns: Static columns created using DAX expressions that perform row-by-row calculations.
Reports: A collection of visualizations, text, and slicers that tell a story using your data.
Power BI Service: The online platform where you publish, share, and collaborate on Power BI reports and dashboards.
