The interdisciplinary field that extracts knowledge and insights from structured and unstructured data
Data Science represents the interdisciplinary approach that combines statistical methods, domain expertise, and programming skills to extract meaningful insights from complex data. Beyond simple analytics, data science encompasses the entire data lifecycle—from acquisition and cleaning to exploration, modeling, and communication of results. What distinguishes modern data science is its ability to work with diverse data types (structured, unstructured, and semi-structured) and its integration of advanced computational techniques with traditional statistical thinking. Data scientists serve as translators between technical and business domains, converting analytical findings into actionable intelligence that drives strategic decisions. The field continues to evolve alongside technological advances in computing power, storage capabilities, and algorithm development, enabling organizations to derive value from increasingly complex data sources that were previously untapped.