Excel Skills Simplified: Tutorials That Actually Work
Turning a phrase like “Excel Formula Tips” into “EFT” sounds simple, but Excel doesn’t have a built-in ACRONYM() function. The good news is you can build your own acronym generator with a formula, and depending on your Excel version, it can be a one-liner or a slightly longer setup.
If you’ve ever had a column full of messy text like “Invoice123” or “Order: 4589 units” and just wanted the numbers out of it, you’re not alone. Excel doesn’t have one single “extract numbers” button, but there are a few solid ways to get the job done depending on your version of Excel and how your text is structured.
Power Query makes it easy to change column data types in Excel. You can convert text to dates, numbers to text or whole numbers to decimals. This helps your data work correctly in formulas, charts and reports.
If you find yourself doing the same cleaning steps every time a file arrives, Power Query can probably do that work for you with a single Refresh click.
In this article we will take a small “dirty” dataset and walk through the classic way of cleaning it with formulas, then show how to rebuild the same logic in Power Query.
Excel now gives you three very different ways to solve most data problems: classic formulas, Power Query and Copilot.
The trick is not to pick a favorite and use it for everything, but to know where each one shines so you do not overcomplicate simple tasks or under‑engineer important ones.
If you have Copilot in Excel and you are still mostly typing formulas by hand, you are leaving a lot of value on the table.
In this guide I will show you a realistic flow where we start with a messy data dump and use a handful of natural‑language prompts to clean it, analyze it and build a quick chart.
In this tutorial we will build a small but useful dashboard: you choose a region from a drop‑down and Excel updates a table and chart automatically.
We will use three modern tools together: FILTER for subsetting data, SORT for ordering it and XLOOKUP for pulling a few summary metrics into neat KPI cards.
Power Query is extremely powerful for cleaning and reshaping data, but it is also unforgiving: one bad value, missing column, or data type mismatch can cause refresh failures. Learning how to detect, understand, and handle errors is essential if you want your queries to be reliable and refresh automatically without breaking.
This guide walks through the main types of errors in Power Query and shows practical techniques to remove, keep, replace, or gracefully handle them using built‑in commands and the try … otherwise pattern in M.
Sharing Excel files with your team has never been easier. Modern cloud storage platforms like OneDrive and SharePoint enable seamless collaboration, allowing multiple people to work on the same spreadsheet simultaneously. Understanding how to leverage these tools effectively transforms your team’s productivity and eliminates version control chaos.
This comprehensive guide covers everything you need to know about sharing Excel files through OneDrive and SharePoint, from basic sharing to advanced co-authoring and permission management.
Power Query’s Group By feature transforms raw transaction-level data into meaningful summaries by consolidating rows based on shared characteristics. Whether you need to sum sales by product, count transactions by customer, or calculate average prices by region, the Group By function enables you to reduce massive datasets to their optimal granularity level with just a few clicks.
This comprehensive guide covers all grouping methods, from basic summaries to advanced multi-column aggregations with custom calculations.