DTA 250 - Fundamentals of Data Science and Analytics

Overview of core concepts and applications of data science and analytics. Topics include planning a quantitative study; formulating research questions; data management, preparation, and cleaning; model selection and validation; visualization; popular predictive modeling techniques; and issues of bias and ethics in data analytics. Substantial work with at least one professional data analysis package, such as SAS, Stata, or R.