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CPSC 441 A - Introduction to R Programming

Campus: Urbana-Champaign

Description:

Big data and statistical analyses are becoming ever more important in scientific research, as is the ability to work with statistical programming languages like R. This course covers concepts including basic numerical applications of R, R syntax, types of data arrays, creating graphics in R, recursive statements, and creating simple functions. Students are not required to have any previous exposure to R or other programming languages prior to enrolling in the course. Course Information: 2 undergraduate hours. 2 graduate hours. Prerequisite: MATH 112 or equivalent, an introductory statistics course, and junior standing.

Option 1

Number of Required Visit(s): 0

Course Level: Graduate

Credit: 0

Term(s): Fall

Option 2

Number of Required Visit(s): 0

Course Level: Graduate

Credit: 2

Term(s): Fall


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