When I started learning Excel as part of my Data Science & Analytics course, I assumed it was just a tool for creating tables and performing basic calculations. After spending a week exploring its features, I quickly realized that Excel is much more powerful than I thought.
Almost every organization generates data. Businesses track sales, schools monitor student performance, hospitals manage patient records, and marketers analyze campaign results. Before data can be analyzed, it needs to be organized, cleaned, and summarized—and that's where Excel comes in.
In this article, I'll share some of the Excel concepts I've learned so far and how they're used in real-world data analysis.
Understanding the Excel Workspace
Before working with data, it's important to understand the basic structure of Excel.
