Data Collection in Data Science is the process of gathering relevant information from various sources to analyze and draw insights. It forms the first and most crucial step in any data-driven project. Different data collection methods in data science, such as surveys, web scraping, APIs, and sensors, help collect structured and unstructured data for analysis. Accurate Data Collection in Data Science ensures reliable results and supports effective decision-making.