Been wanting to try out R? Here’s your chance. During this 4-part class, students will use R to analyze survey data. We will cover descriptives, crosstabs and factor analysis. 

NOTE: This course is currently offered as a self-paced option only. Homework answer keys allow you to check your own work. If you have a group of 5 or more students who would like a real-time version taught in our virtual classroom, please contact us at [email protected] for scheduling and fee options.

R is a hot skill. There's a reason many quant researchers are making an effort to gain this skill: they don’t want to get leapfrogged. We make it easy by preparing demonstrations and exercises that are specific to the needs of survey research data analysis. And we even have a little fun along the way.

Pre-requisite Knowledge: This class will not teach statistical concepts. It will focus on how R can help you calculate the statistical values. Prior to this class, you should have a working knowledge of T-Tests, ANOVA, correlation and regression.

Please note: This class follows a flipped classroom model. Students will do homework where they watch video demonstrations prior to class time. Then during live class time, students will do hands-on exercises with real-time instructor support and peer interaction.

Your version of R may look somewhat different due to application updates since the class was recorded, but the differences should be minor.

Upon course completion, you will be able to:

• Install, update, and add-on packages to the R environment
• Program basic statistical operations using R programming language
• Upload, manipulate, and clean data in the R environment
• Output basic descriptive statistics, including mean, median, mode, frequency, and proportions
• Visualize data in the R environment
• Test group differences in the R environment