Introduction to R Programming
Statistical computing is employed within a diverse range of industries. In recent years, an open source project, R, has emerged as the preeminent statistical computing platform. With its unsurpassed library of freely available packages, R is capable of addressing almost every statistical inference problem.
In this course, you will learn to write R programs that access data from multiple sources, generate output, manipulate different types of R objects that are based on programming objectives, perform character manipulation, generate statistical reports, create statistical graphics, and, most importantly, write flexible R functions by using different types of control structures
- Vectors, matrices, and arrays
- Lists and data frame
- Subsetting objects
- Data input and output
- Data manipulations
- Data aggregation
- Writing user-defined functions
- Character manipulations
- Graphics in R
- Multiple hands-on assignments writing R code
Software: R, a free software environment for statistical computing and graphics, is used for this course.
Course typically offered: Online in Fall, Winter, Spring, and Summer (every quarter)
Prerequisites: Knowledge of basic programming or Introduction to Programming is recommended.
More Information: For more information about this course, please contact email@example.com.
Note: Instructions for ordering the course reader (e-textbook) will be provided on the first day of class.
Course Number: CSE-41097
Credit: 3.00 unit(s)
Related Certificate Programs: Business Intelligence Analysis, Data Mining for Advanced Analytics
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