Social Data Science

Description: Lecture, three hours; discussion, one hour. Data analysis, and way social theory and data are linked. Covers data and computing environment, regression analysis, causal analysis, and machine learning. Offers tools for conducting quantitative analyses of social phenomenon, including emerging computational methods. Integrates substance and method. Draws on literature in social inequality to demonstrate applications of studied methods. P/NP or letter grading.

Units: 4.0
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Easiness N/A/ 5
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Helpfulness N/A/ 5
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