Data Handling vs Data Science: Complete Comparison | Vibepedia

Data handling focuses on the practical management of data—collection, storage, and organization—while data science leverages statistical and computational methods to derive insights. Data handling is foundational, ensuring data quality, whereas data science drives innovation through predictive modeling and analysis. Both are critical but serve distinct roles in the data lifecycle.