Tutorials - 2026-01-21

Excel for Data Analysis: Real Examples

Learn how data analysts use Excel daily. Practical examples for cleaning, analyzing, and visualizing data.

Excel for Data Analysts

  • Data analysis in Excel follows a clear workflow: import, clean, analyze, visualize. See Excel Use Cases for more industries.

Data Cleaning

  • \\\ =TRIM(A1) ' Remove extra spaces =CLEAN(A1) ' Remove non-printable chars =PROPER(A1) ' Title Case =SUBSTITUTE(A1, "old", "new") \\\

Analysis Functions

  • \\\ =SUMIFS(Sales, Region, "West", Year, 2024) =COUNTIFS(Status, "Complete", Priority, "High") =AVERAGEIFS(Revenue, Category, "Software") =MEDIAN(A:A) =STDEV.S(A:A) =CORREL(Sales, Marketing) \\\

Dynamic Arrays (Excel 365)

  • \\\ =UNIQUE(A:A) ' Unique values =SORT(A2:B100, 2, -1) ' Sort descending =FILTER(A:D, D:D>1000) ' Filter rows \\\

Key Functions

  • Task Function Clean text TRIM, CLEAN Conditional sum SUMIFS Lookup data XLOOKUP Unique values UNIQUE

Related

  • Excel Use Cases Excel Functions for Data Analysis Data Analysis Use Cases →

Apply this tutorial in your workbook

  • Copy one example from this article into a blank sheet. Change the sample ranges to match your column letters. Press F2 and Enter after edits so Excel recalculates. Compare your result to the expected output in the article. Related hubs: Excel functions directory · Formula guides · Function comparisons

Frequently asked questions

  • What should I practice after reading this tutorial? Rebuild the main example on a copy of your file, then change one argument at a time to see how the result changes. That builds muscle memory faster than rereading the steps.
  • Which Excel version do I need for the formulas in this article? Most steps work in Excel 2016 and later. If the article mentions FILTER, UNIQUE, or XLOOKUP, you need Microsoft 365 or Excel 2021 — check the linked function pages for compatibility.