Skip to Main Content

COP2073C

Download as PDF

COP 2073C - Introduction to Statistical Programming with R (Credit Hours: 3)

College Credit 02 - Postsecondary Vocational

Description

This course introduces concepts of statistical programming, with a focus on the use of the R programming language and the RStudio programming environment. Students will learn base R language concepts including data types, functions, and packaging and will work with tidyverse and other packages commonly used in data science applications for data acquisition, analysis, and visualization. Students will develop R applications which use the language for probability and distribution analysis, correlation and linear regression, calculating confidence intervals, and hypothesis testing.

Prerequisites

COP 1000C

Corequisites

None

Conditions

Students are strongly recommended to take STA 2023 prior to enrollment in this course.

Credits

3

Contact Hours

4 Lecture/Laboratory Hours

Applicable Programs

A.A., A.S., T.C.

Florida State College at Jacksonville is accredited by the Southern Association of Colleges and Schools Commission on Colleges (SACSCOC) to award associate and baccalaureate degrees. Degree-granting institutions also may offer credentials such as certificates and diplomas at approved degree levels. Questions about the accreditation of Florida State College at Jacksonville may be directed in writing to the Southern Association of Colleges and Schools Commission on Colleges at 1866 Southern Lane, Decatur, GA 30033-4097, by calling (404) 679-4500, or by using information available on SACSCOC’s website (www.sacscoc.org).


Florida State College at Jacksonville logo

CONTACT US

(904) 646-2300
welcome@fscj.edu

Florida State College at Jacksonville does not discriminate against any person on the basis of race, disability, color, ethnicity, national origin, religion, gender, age, sex, sexual orientation/expression, marital status, veteran status, pregnancy or genetic information in its programs, activities and employment. For more information, visit the Equal Access/Equal Opportunity page.

Powered by Coursedog