Programming techniques in modern statistical software, including SAS and R for students with some experience with computer programming. Topics include data input/output; data formats and types; data management; flow control, conditional execution, and program design; statistical graphics and exploratory data analysis; basic procedures, and functions for statistical modeling and inference.
Statistical Software Programming
Credit Hours:
3 hours
Prerequisites:
Undergraduate Prerequisite: CSCI 1301-1301L and (STAT 4220 or STAT 4230/6230)
Graduate Prerequisite: STAT 6220 or STAT 4230/6230 or STAT 6320 or STAT 6420 or STAT 8200 or permission of department
Duplicate Credit:
Not open to students with credit in STAT 4360E or STAT 6360E
Semester Offered:
Spring
Summer
Level: