Nowadays in a technology-driven world, two terms frequently capture attention: data science and machine learning. While these fields often overlap, they serve distinct purposes and require different skill sets. Understanding their differences helps aspiring professionals make informed career choices. What is Data Science? Data science represents a comprehensive field that extracts meaningful insights from structured and unstructured data. This discipline combines various techniques, including: Statistical analysis to identify patterns and trends Data visualization that transforms complex information into understandable graphics Database management for efficient data storage and retrieval Programming skills to automate data processing tasks The field encompasses the entire data lifecycle. Professionals in this domain collect raw information, clean it to remove inconsistencies, analyze patterns, and present findings that drive business decisions. A data scientist works as a sto...