Supervised directed study.

In this course participants will learn to use the R programming language, with a particular focus on using R for handling, visualising, analysing research data, and communicate research outputs. These are important skills for today's scientists (including agriscience), economists (including agricultural economics) and business professionals (including agribusiness). This course will highlight strategies for developing an efficient workflow centred around R and RStudio. After learning the basics, we will focus on using R for exploratory data analysis, the production of more complex research visualisations, statistical modelling, and employing R for research communication. Additionally, we will look into the basics of working with databases in R and managing our research data and output with git.

With a hands-on approach, each participant will be able to import data with R, navigate and manipulate data tables and represent data graphically from very early in the course.

At the end of the course, participants will have reached an advanced knowledge of R and should be equipped to deal with almost all aspects of using R to analyse their research data.

Assessments are undertaken under the direction of the supervisor. Assessments are outlined to students by the supervisor at the beginning of the course on a case-by-case basis. The assessment will be focused around the on time completion of a quality research report.