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Data science is an interdisciplinary field that involves the extraction, analysis, and interpretation of large and complex data sets using a combination of statistical, computational, and machine learning techniques. Data science can involve working with structured data, such as data in tables or spreadsheets, or unstructured data, such as text, images, or video.

Data science encompasses a variety of methods and tools for working with data, including data mining, data visualization, statistical modeling, and machine learning. These methods are used to extract insights and knowledge from data, which can then be used to inform decision-making in a range of fields, from business and finance to healthcare and social sciences.

Data scientists typically have strong skills in mathematics, statistics, and programming, as well as domain expertise in the field they are working in. They work with large data sets to clean, preprocess, and transform the data, and then use statistical methods to analyze and interpret the data. Machine learning techniques, such as classification, regression, and clustering, can be used to build predictive models or identify patterns in the data.