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 workshop-style 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 then assigned supervised hands-on tutorials.
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.
Dates & Location
Autumn Quarter 2018:
The autumn session is now closed.
On-campus section: Classes meet on Saturday mornings (9:00am-12:15pm) at DePaul University's Loop Campus at 243 S. Wabash Avenue, Chicago.
Autumn Quarter 2018
Regular DePaul University students are charged the above rates based on their degree program. The tuition fee for this program is not included in the university's tuition package for full-time undergraduate students.
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 by September 8, 2018 (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 In-Term Payment Plan.
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.
There are no required textbooks for this session.
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 Program 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 in-class lab work as well as 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, to apply via fax, mail, or in person, print out and complete the
Application Form. Upon admission, the Institute office will contact the prospective student with information and instructions about the registration process.
Registration is restricted to admitted students. IPD staff will register students upon receipt of payment and registration form. Regular DePaul students cannot register themselves via the university's registration system.