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CPSC 441 OLP - Introduction to R Programming

Campus: Urbana-Champaign


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.

Special Instructions:

This section is restricted to online programs only.

Academic Program Restrictions:

MS:Crop Sciences -UIUC

Option 1

Number of Required Visit(s): 0

Course Level: Graduate

Credit: 2

Term(s): Fall


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