DATA201 — Statistical Methods in Data Science
Statistical concepts and applications related to data science including advanced exploratory data analysis, nonparametric inference and simulation for larger datasets, logistic regression modeling, statistical programming, and advanced machine learning. Topics include fundamentals of supervised and unsupervised learning, resampling methods, model selection and regularization, time series or sequence data, tree-based methods, and unstructured data. Three hours each week. 3 semester hours Course
Prerequisites: DATA101