The R Program is a powerful tool for data analysis, but has a steep learning curve. Join us for 1 or 2 days of a workshop that will accelerate your R skills. Our modern approach to teaching leverages AI to help you create analyses with natural language, and code with fewer errors, but higher accuracy.
Day 1: Quality Data Analysis with AI Coding Assistants
Suitable for R or Python users**. We’ll show you how to use large language models (like chatGPT) directly in your R or Python coding environment. You can accelerate your coding and get personalised help on your research. But there are risks, AI makes mistakes. We’ve developed guidelines to help you get the most out of AI for coding. We’ll also discuss the ethical implications of using AI to assist with research and whether ‘vibe coding’ is appropriate for scientists. This workshop is suitable for people with limited coding experience (e.g. can read data into Rstudio and make plots) as well as experts who want to know more about AI assistants.
Day 2: Generalized Linear Models (in R)
GLMs are a powerful tool for statistical analysis and prediction. We’ll teach the basics of the linear model and how it can be extended to all sorts of data in the generalized linear model. We’ll cover model verification, estimating effect size and significance and making predictions. The beauty of GLMs is that you only need some basic principles and you are ready to tackle many types of data, not like the old days when you had to know a different test for each new type of data.
**Note these workshops are not suitable for coding beginners. If you’ve never used R or Python before we suggest you take an introductory workshop. IMAS runs one, feel free to contact us for more info on that. As a rule of thumb, if you have Rstudio, know how to read data into R and make some plots you are ready for these workshops.
Presenter: A/Prof Chris J Brown [email protected]
Guest Presenter: Professor Anthony Richardson, The University of Queensland and CSIRO Environment
When: 11 & 12 November 2025. Registration available for one day or for both.
Location: Institute for Marine and Antarctic Studies, University of Tasmania, 20 Castray Esplanade, Battery Point, Hobart, 7000, Tasmania
Catering will be provided for morning tea only
Registration: CMS R and AI Workshops | University of Tasmania
Further Information on workshop content here: https://www.seascapemodels.org/CMS-R-workshop/
Audience: People already using R (e.g. who can read in data and make plots). This workshop is not an introduction to R, contact Chris for more information about introductory courses run by IMAS.
