Statistical models for data analysis and discovery in big-data settings, with primary focus on linear regression models. The challenges of building meaningful models from vast data are explored, and emphasis is placed on model building and the use of numerical and graphical diagnostics for assessing model fit. Interpretation and communication of the results of analyses is emphasized.
Prereq: C- or better in 3202; or permission of instructor. Prereq or concur: Math 2568; or permission of instructor.
Credit Hours:
3.0