STAT 6430
Statistical Computing for Data Science
Course Description
Pre-Requisite(s):
A previous statistics course and permission of instructor
An introduction to statistical programming, including data manipulation and cleaning, importing and exporting data, managing missing values, data frames, functions, lists, matrices, writing functions, and the use of packages. Efficient programming practices and methods of summarizing and visualizing data are emphasized throughout. SAS and R are the primary computational tools.
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