Statistical Consulting

Undergraduate

The course aims to develop broad guidelines for a comprehensive approach to data analysis. Topics include data preparation, outlier detection and exploratory data analysis. Criteria for the selection of suitable methodologies are discussed as well as model validation methods and empirical evaluation methods. The course will be based largely on case studies. Prerequisite(s): 6h from MATH 3233, MATH 3253, MATH 3263, MATH 3273, MATH 3283, MATH 3293, with minimum grades of C-, 3h of which may be taken concurrently.