Master Excel's Power Query, Power Pivot, and DAX to transform data, automate workflows, and create interactive dashboards with ease.

Mastering advanced Excel tools like Power Query, Power Pivot, Data Model, and DAX empowers data professionals to handle complex data tasks with ease and efficiency.

Learn how to use Excel Power Query's extract and split column features to extract delimited strings into their components.

I ’ve always used Excel for quick calculations and simple tables. But aside from common formulas and basic data manipulation ...

Microsoft Power Query showed up in Excel 2016, though earlier versions can access Power Query using an add-in. This tool allows you to import, scrub and edit data from foreign sources and then use ...

Specifically, you can use Power Query to import a single dataset like an Excel workbook, a table from a website, or a database. Alternatively, you can import multiple datasets from worksheets in an ...

Power BI supports up to 400GB data models (at about 10 to 20 times compression, that’s 4TB to 8TB of data in a single data model). These datasets can be IT-certified, and Microsoft Information ...

If you've never heard of Excel's Power Query feature, you're not alone. Here's how to get started using it and gain a huge productivity boost.

For Power Query to properly transform the data, you must correctly identify and specify the delimiter. For example, in our case, a less than sign (<) separates the names and the email addresses.

When you import data into Excel, you can now transform it into a data type with Power Query. That could include information from files, databases, websites, and more.