DATA 5300 - Applied Statistical Inference and Experimental Design

3 credit hours
Statistical inference and experimental design. Parameter estimation, resampling methods, and statistical modeling. Applied linear regression and logistic regression. Selecting appropriate models and interpreting model results. Topics also include causal inference and study designs. Statistical software will be used for computation, simulation, and visualization.

Registration Restriction(s): Admission into the MS Data Science program