A four-week program covering R language basics, packages and development environments
R is an open source programming language and software environment increasingly popular with statisticians, data scientists and decision makers. While a fully-fledged programming language that can take years to master, a fundamental understanding of R, its packages and development environments offers many opportunities. In this program, students will learn how to describe data, compare groups, cluster observations, identify association rules, build regression models, build classification models, and reduce feature spaces. The focus will be on developing an understanding of R, the R environment and relevant packages so that the student will become comfortable with exploring the R ecosystem. In all cases, students will be introduced to the theory, presented with real world examples and assigned lab exercises.
The program is ideally suited for business professionals with basic statistical and computer literacy who wish to meet the growing demand for leaders with an analytical skillset. The program is also beneficial to those interested in a career in data science but who wish to learn more before enrolling in a master’s program. Students should have access to a personal computer (either Mac OS or Windows) on which to install the software used in the program. Students must have administrator rights to their computers in order to successfully install and use the software used in the program.
For a complete program description,
download the program's brochure.
Spring Quarter 2021:
Application Deadline:Mid-Mar. 2021
Tuition Deadline:Mid-Mar. 2021
Classes Begin:Apr. 2021 (Dates TBA)
Classes End:May 2021 (Dates TBA)
Online: Async Section
These classes do not meet at a specific time on specific days. Content will be delivered via weekly pre-recorded lectures. Students follow a weekly agenda of topics and assignments, but can view the course material at a time of their own choosing. Structured opportunities for interaction with the class and instructor are provided asynchronously.
This program has weekly course content equivalent to three hours per week. For every hour of course content, students should also expect to spend about two additional hours for studying, homework, labs, and other assignments.
Spring Quarter 2021
Full payment of tuition must be received before the start of the program. Students who elect to pay tuition using a credit or debit card will be assessed a non-refundable 2.75% convenience fee.
Refund/Cancellation Policy: DePaul reserves the right to cancel any program before that program's first scheduled meeting, in which case tuition fees (but not convenience fees) will be refunded. The university's refund policy allows a return of 100% of tuition if the student drops the Fundamentals of R Program within one week of the program's start date(convenience fees will not be refunded).
Please note tuition fees incurred for the Fundamentals of R Program are not eligible for participation in DePaul's Employer Tuition Deferment Plan or the Single Term Payment Plan.
Notice for Current DePaul Students
- Undergraduates: Please be aware that the tuition fee for this program is not included in the university’s full-time term package pricing.
Each program requires a $40.00 (non-refundable) application fee that can be paid online (via credit card) during the online application process. If you need to pay this fee by check or money order, please make the check or money order payable to DePaul University and send it to:
DePaul University Institute for Professional Development
243 S. Wabash Avenue
Chicago, IL 60604
Textbooks are a separate purchase to be made by students.
Reading materials for certificate programs consist of textbooks and supplementary handouts. Textbook readings are considered preparatory in nature and are typically assigned prior to lectures; supplementary handouts are frequently distributed in class to provide additional information.
Textbook selections to be announced
Applicants should have basic experience using a personal computer running Windows; no prior programming experience is necessary. Applicants should also possess basic statistical knowledge.
The Fundamentals of R is catalogued as a non-credit course of DePaul University. A certificate of completion from DePaul University is awarded to those who successfully complete the program's requirements. Program requirements include lab exercises and homework assignments. No midterm or final exams are conducted.
Course #: IPD 232
The Fundamentals of R Program is a graded course. A final grade letter as well as DePaul transcript (upon request) will be available upon program completion.
Application & Registration Procedure
All interested parties should apply for admission using the Institute for Professional Development's
online application; or, download and complete the
Application Form and email to firstname.lastname@example.org. Upon admission, the Institute office will contact the prospective student with information and instructions about the registration process.
You do not have to be an existing DePaul student to take this certificate program. Registration is restricted to individuals who apply for admission to the program and receive an acceptance letter. IPD staff will register applicants upon receipt of payment and registration form.
Regular DePaul students cannot register themselves via the university's registration system. If interested in enrollment, regular DePaul students should begin by submitting an application for admission. Students must meet the program's admission criteria.