How is data science different from data analytics?
Answer / Ankit Verma
Data science and data analytics are closely related fields, but they differ in their focus and scope. Data Analytics focuses on deriving insights from structured and unstructured data to solve specific business problems or answer defined questions. It typically involves techniques like statistical analysis, reporting, and dashboard creation.
Data Science goes beyond data analytics by emphasizing the entire life cycle of a project—from data collection, preprocessing, cleaning, and modeling to visualization, deployment, and monitoring. Data Scientists use advanced algorithms, machine learning, and AI techniques to develop predictive models that uncover hidden patterns, trends, and correlations in the data.
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