Skip to main content

Introduction to the R Statistical Programming Language & Environment

« back to classes page
Registration deadline: June 5th

This workshop will be conducted via a virtual Zoom meeting online format and Canvas. Access to a computer/laptop with internet access is required. Please contact Professional Development with any questions.

15 CEUs/CPH units - (5 live, 10 self-paced)
 
This course will introduce students to the fundamentals of the R language and RStudio environment. The course will begin with how to obtain and install R and RStudio, import data, create descriptive statistics, and plot simple graphics. Next, we will delve into data structures and classes, data manipulation and management, and common data analyses (t-tests, ANOVAs, correlations, regressions, etc.). During the final sessions, students will explore R's graphics capabilities and use some of the publishing tools built into RStudio in order to learn how to generate reproducible research.
 
Note: This class presupposes a working knowledge of statistics and previous experience working with a statistical software package. Students should have passed a basic statistics class and previous experience with SAS, SPSS, Stata, or otherwise using basic quantitative statistics skills within the last 5 years.

Workshop will consist of daily live Zoom webinars from 1:00 - 2:00 p.m. and pre-recorded course material in Canvas, including online help and individual consultations from 2:15 - 3:15 p.m., daily.
 
Class size is limited to 25.
 
$650 General admission**
 
**Available discount class code may be entered during check out for the following:
SI001 - $450 Non-profit/government employees (1st Summer Institute class)
SI002 - $400 Non-profit/government employees (Additional Summer Institute classes)

This class will include both degree-seeking graduate students and practicing professionals. Individuals registering through Professional Development will receive continuing education units - but not academic credit - for the class.


Recommended purchase of R Data for Science is optional; a free digital version of the text is available online. 
For more information on classwork and reading expectations, please click here.

Class Details

5 Sessions
Daily - Mon, Tue, Wed, Thu, Fri

Location
Online Webinar

Instructor
Todd Combs 

CEUs : 15

General Admission: 

$650.00


Schedule Information

Date(s) Class Days Times Location Instructor(s)
6/22/2020 - 6/26/2020 Daily - Mon, Tue, Wed, Thu, Fri 1:00 PM - 3:15 PM St. Louis, Online Webinar  Map Todd Combs