How Excel is Used in Real-World Data Analysis

Every week, somewhere in the world, a data scientist opens a terminal, fires up Python, and writes elegant code to analyze a dataset. And every week, in even far greater numbers, someone opens Excel — and gets the same job done before lunch! I did not anticipate to write that sentence when I started my data science training at LuxDevHQ. I came in ready to learn Python, obsessed with the idea of writing code that crunched millions of rows in milliseconds. Excel felt like the thing you used before you knew better. The tool you graduated from. Then my instructor dropped a 7,000-row sales dataset on my screen and said: "Analyze this. You have two hours." I reached for Python. I spent forty minutes setting up the environment, importing libraries, and debugging a pandas error I had never seen before. My classmate next to me who had quietly opened Excel was already building her second PivotTable! She finished in ninety minutes. Her output was clean, visual, and ready to present. Mine was stil