Introduction to R for University Administrators
The statistical package R (www.r-project.org) is a freely available and flexible software environment for statistical computing and graphics. R is part of an international collaboration and has become very popular; it is used for data analysis in many application areas including education and is widely used in academia. In particular it has the facilities to perform advanced statistical modelling methods, and is equally well suited to more elementary statistics and graphics.
The course begins with a general overview of the concepts involved in using R, such as object orientation. It then moves onto importing data from other applications such as Excel, considers common data manipulation techniques and finishes with an introduction to graphics and summary statistics for numerical data.
The course will use the R Gui application on a Windows operating system. Note the software is not based on using point-and-click mode, but a written command syntax.
All training is online and will be delivered live between 09:00 and 17:30 (GMT+1). The delivery platform is Zoom, which may be freely accessed. Questions may be asked using Zoom's chat box. Note our online courses are delivered by a team of two presenters, meaning at least one presenter is always available to provide additional support. During presentations the team member who is not speaking can take questions in addition to the presenter. We also use Zoom meetings rather than webinars to encourage further interaction during an online course.
Who Should Attend?
Administrators in educational establishments working in Policy, Planning and Strategy units; Data and Insight units; Business Intelligence units; those involved in extracting actionable insights from student records and in reporting to policy makers or committees. Anyone in these positions wanting an introduction to R will benefit greatly from this course.
No previous experience of the R software is required.
How You Will Benefit
You will be able to describe the essential concepts related to using R; use R to import and manipulate data and for basic statistical analysis including graphics. You will also be able to:
What Do We Cover?
Practical work will be done in RGui.
Related Courses: This is part of a series of short courses for HE professionals working in administrative, planning and support roles: