Introduction to Statistical Computing for Data Science.

Catalog description

Semester course; 3 lecture hours. 3 credits. Prerequisites: STAT 212 or its equivalent. The application of computers and computing software to statistical concepts using R, SAS and other quantitative software. Topics include data storage and retrieval, data modification and file handling, standard statistical analyses, graphical representations, practical presentation of results.