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The document provides a comprehensive overview of Data Science, detailing its definition, characteristics, importance, and applications across various sectors such as business, healthcare, and finance. It outlines the Data Science workflow, including data collection, processing, analysis, modeling, and interpretation, as well as the significance of Exploratory Data Analysis (EDA) in understanding data. Additionally, it discusses analytics, its types, and the role it plays in data-driven decision-making.

Author

anku02102

Language

EN