Sociology

Sociology in Data Science refers to the application of sociological theories, methods, and concepts to analyze and understand social phenomena using data-driven approaches. It involves the use of statistical and computational techniques to extract insights from large datasets and identify patterns of social behavior. This interdisciplinary field aims to bridge the gap between sociology and data science, and to provide a more comprehensive understanding of social phenomena by integrating qualitative and quantitative data. Sociological data science can be applied to a wide range of topics, including social networks, social inequality, urbanization, and cultural trends.
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