Statistical Programming

Catalog description

Statistical Programming: Introduction to statistical programming using statistical software packages such as R, SAS or Python. Emphasis on methods of data entry, data management, and creation of statistical reports. Topics covered include data manipulation, creation of user-defined functions, simulation methods, random variable generation, permutation methods, the bootstrap, the jackknife and methods of increasing computational efficiency.