When you use the statistical analysis features in Excel, you are leveraging one of the most powerful tools available for data manipulation and interpretation. Excel is not just a spreadsheet ...

How to use Excel’s Data Model to turn related data into meaningful information Your email has been sent Excel's Data Model feature allows you to build relationships between data sets for easier ...

Microsoft Excel has more dataviz capabilities than you may realize. Find out how to make your data stand out with charts, PivotTables, sparklines, slicers and more. Everyone knows Microsoft Excel as a ...

AQ-IQ Mentor Xavier McIntyre explains how to import pod data (from a .txt file) into Excel. How to Import Pod Data into Excel AQ-IQ Mentor Cindy Yang explains how to create a graph without baseline ...

Create professional Excel visuals with custom charts, icon bars, radar charts, and interactive navigation bars with gradients ...

Learn how to use pivot tables in Excel! You will also learn basic techniques for analyzing data in Excel. This is an in-person workshop sponsored by the MaxxSouth Digital Media.

While Microsoft Excel is one of the most powerful spreadsheet applications, it’s also the most intimidating tool in the Microsoft Office suite. If you’ve never used Excel before or are just a bit ...

Here is a guide for you to perform Regression Analysis on your Windows 11/10 PC. Regression Analysis is a statistical technique use to evaluate a set of data. It is used to determine the relationship ...

Excel remains a cornerstone for data analysis, reporting, and business planning, but it’s not quite user-friendly. It can take months to learn advanced Excel skills on your own. If you want a simpler ...

Power Query is a game-changer in terms of the amount of time I save, ensuring imported data is ready for analysis in Excel. If you're new to this tool, it's helpful to know a few commands that can ...

Taking a look at how marketers can unlock the power of data analysis using traditional tabular software and data languages. Marketers would like to unlock the power of data — but with so many ...