Behavioral Data Science

3 credits · Graduate School

Application-focused data science for social scientists. Emphasis on open science and reproducible code, effective data management and visualization, application of machine learning and predictive modeling(e.g., classification, regression, regularization, neural networks),unsupervised learning(e.g., k-means clustering, exploratory graph analysis),and cross-validation for generalizability. Experience with R is helpful but not necessary. [3]