3 Credits Statistical modeling and inference. Correct application of statistical tests by understanding of relevant definitions, theorems, and assumptions regarding data and probability distributions. Focus on applications using current statistical software and programming languages. Models studied include: linear, high-dimensional, non-linear, bayesian.
Prerequisites Admitted to MS program in Data Science or consent of instructor