
Explore how to connect to scattered data sources, collect and analyze information, and communicate insights using Excel's Power Query, Power Pivot, and Power Map for smarter business decisions.
Power Query enables you to connect to almost any data source, extract, transform, and clean data, and load results into Excel tables, Power Pivot, or Power BI for analysis.
Learn how to import delimited files with Power Query in Excel, using Get Data, transform in Power Query Editor, adjust data types, and load results.
Power Query imports data from two Excel formats: a tablet form and a named range, noting that Excel tables trigger structural changes while named ranges import without formatting changes.
Master appending multiple files in Power Query by stacking tables, matching headers for two or more files, handling errors, and loading results as connections or into Excel.
Power Query in Microsoft Excel teaches how to import all files from a folder with the same structure, combine them, and refresh to auto-update with new files.
Learn to aggregate data from the current workbook using Power Query in Excel, combining multiple tables, cleaning names, and setting correct data types for seamless analysis.
Aggregate data from multiple workbooks using Power Query by connecting to a folder, filtering Excel files, and expanding objects to import sheets and tables before cleaning and loading.
Learn to unpivot pivoted data in Power Query by connecting to the source, transforming and cleaning columns, and reshaping into country, date, product, and sales value.
Our data sources are scattered and dynamic. To connect, collect and clean the data is a time consuming and tedious task. Power Query is a data connection technology that enables you to discover, connect, combine, and refine data sources.
Power Query is a data transformation tool that helps to connect almost any data source and transform data using user-friendly features with just one click and no coding. You import and clean millions of records and load them to data model for data analysis and reporting.
Business users spend up to 80 percent of their time on data preparation, which delays the work of analysis and decision-making. Several challenges contribute to this situation, and Power Query helps address many of them.
The Power Query Editor is the primary data preparation experience, where you can connect to a wide range of data sources and apply hundreds of different data transformations by previewing data and selecting transformations from the UI. These data transformation capabilities are common across all data sources, whatever the underlying data source limitations.
When you create a new transformation step by interacting with the components of the Power Query interface, Power Query automatically creates the M code required to do the transformation so you don't need to write any code.