This course is for anyone to use, though it is designed to be particularly useful to beginners as we start with the fundamentals. If you do have more R experience you are free to skip to sections you are less comfortable with. No prior knowledge of R is assumed in order to start this course from the beginning. Though the examples are focused on agricultural research, the skills taught are relevant for everyone.

This self taught course contains an array of modules covering many topics within R and RStudio.

Topics included in this course cover:

• Data visualisation with ggplot2
• Data manipulation with dplyr
• Statistical analysis including hypothesis testing, linear and logistic regression modelling
• Data management including data shapes, data cleaning and relational data.
• Working with RStudio

This course is delivered through a series of interactive workbooks containing code boxes, allowing you to practice writing code as you go. Exercises are included to provide an extra test. We have recorded videos to help guide you through the material.

Please use the link provided to access our statistical training site, through which you can create an account if you do not already have one. If you already have an account you should be able to login and be taken straight to the enrolment page.

If you need to create an account, please click on "Create new account" and enter your details. You will be sent an email with a link to follow to complete your registration with the site.

Once an account has been created and registered you are free to enrol in the course, either by following the link on this page, or by navigating the list of courses to find "Introduction to R and RStudio - Self-led".

This course has been developed from the resources we have used across Stats4SD's R courses over the last few years. It has been designed to be self-led as much as possible so you are free to work through the course at your own pace and choose which topics are most relevant to you.