Event details

Academic Skills	Digital Literacy	Personal Development	Responsibility	Sustainability	Work Environment

After an introduction to the basic concepts and functionalities of R, we will go through a prototypical data analysis workflow in the course: Import, wrangling (transformation and cleaning), exploration, (basic) exploratory analysis and visualization, reporting. In addition, a module on the use and local execution of free language models (LLMs) in R will be integrated into the course. This includes the use of local and free LLMs in R (e.g. with llama.cpp, GPT4All or ollama) and their use cases.

Each topic of the course is first introduced and then worked through with a series of (hands-on) exercises.

Learning objectives:

You will be

• be able to import, process and analyze your data with R.
• beable to perform basic visualizations and analyses of your data with R.
• be able to create reproducible research reports with R Markdown.
• Able to use local and free language models in R to generate, analyze and process texts.
• be able to install and run local language models on your own computer.

Prerequisites:

• Students bring their own laptop to actively participate in the workshop
• Installation of RStudio (e.g. version 4.3.2, https://www.rstudio.com/)
• If necessary, installation of a LaTeX version (install.packages(‘tinytex’))

Workload for ECTS:

2 ECTS: Active participation in the workshop, written reflection report and data challenge with RMarkdown