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Deals with Statistical and computational approaches to extract knowledge and insights from structured and unstructured data. Data mining, machine learning, statistical analysis, programming languages (Python, R, SQL), data visualization, and big data technologies. 1 crore on average).

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With businesses relying heavily on data, the demand for skilled data scientists has skyrocketed. In data science, we use various tools, processes, and algorithms to extract insights from structured and unstructured data. Importance: Efficient organization and retrieval of data.

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Cyber Security vs Data Science: Key Difference & Similarities

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