In today’s data-driven world, raw data is rarely analysis-ready. It often arrives messy, incomplete, or inconsistent. That’s where data preprocessing comes in—a critical step that transforms raw information into structured, usable formats. For analysts, mastering this process is key to ensuring the accuracy, relevance, and speed of any data-driven decision.