How to Use Excel for Data Cleaning and Analytics Using an Employee Dataset

A tutorial published on DEV Community walks through using Microsoft Excel as a data analytics tool, starting with a raw employee dataset of 877 rows containing common quality issues. The guide covers standardizing employee IDs, fixing inconsistent name capitalization using the PROPER function, and renaming department entries for uniformity. Financial columns such as salary and bonus were formatted into a consistent currency style, while hire dates and other categorical fields were also standardized. The tutorial demonstrates how Excel features like filters, conditional formatting, and text functions can systematically resolve data-quality problems. The core argument is that thorough data cleaning is a foundational step in any analytics workflow, directly influencing the reliability of final insights.