Restricted to students in the McCombs School of Business Honors Program. Examine data science for business applications at the intermediate level. Explore building and validating predictive models; advanced regression modeling, including an in-depth treatment of regression; models for binary outcomes; and causal inference. The equivalent of two lecture hours a week for one semester. Statistics 235 and 235H may not both be counted. Offered on the letter-grade basis only. Prerequisite: Statistics 301, 301H, or Statistics and Data Sciences 321; Mathematics 408Q or credit or registration for Mathematics 408D, 408L, or 408S.