Is this for me?

If you answered yes to both questions, this course is for you!

This course is primarily targeted to students with no or little programming experience who want to learn R for their assignments or research projects. Staff are welcome to attend too.


Sign-up

Semester 2 2023 R for Successful Student Projects (R4SSP) will be online via Zoom, 1-3pm Tuesdays.

Sign up has closed for semester 2. The course materials are free to use and work through. If you have questions or would like assistance with R, please email .


Content

This course is designed to provide many avenues to learning R. We have provided both Modules that give more in-depth information on topics and handouts, which are representative of the content that will be covered in the online sessions. Both resources are designed to be complementary to each other.

We have split the content into two common purposes for learning R

The main motivation for many people is to perform data analysis, so we have structured the order so that people can ‘get stuff done’ and then learn about how to improve their efficiency using R.


Syllabus

Date Week Module Part Topic Instructor
18 July 1 Setup Introduce the tools: R and Rstudio P
25 July 2 Data focus 1 Visualising Data M
1 August 3 Data focus 2 Selecting and Filtering Data P
8 August 4 Data focus 3 Summarising Data M
15 August 5 Data focus 4 Communicating Data P
22 August 6 Data focus 5 Tidying Data M
29 August - MID-SEMESTER
5 September 7 Data focus 6 Combining/Joining P
12 September 8 Programming focus 1 Functions and Choices M
19 September 9 Programming focus 2 Repeating code P
26 September 10 Programming focus 3 Workflows and debugging M
3 October — — — Ask us anything P/M

Optional unit - Using version control with R (TBD)