[R-sig-dyn-mod] Integrating Large Language Model Tools into R Workflows (Online course)

i@io m@iii@g oii phys@ii@-courses@org i@io m@iii@g oii phys@ii@-courses@org
Sat Mar 14 08:08:30 CET 2026


Dear all,
We would like to inform you that only a few seats remain available for our upcoming online workshop: Integrating Large Language Model Tools into R Workflows
 
Course website: [ https://www.physalia-courses.org/courses-workshops/llms-4-r-mncn-csic/ ]( https://www.physalia-courses.org/courses-workshops/llms-4-r-mncn-csic/ ) 


Date: 25 March | 13:00–18:00 (Berlin time)
 
This one-day course is organized by Physalia-courses in conjunction with the 9th Scientific Conference of the National Museum of Natural Sciences (MNCN-CSIC).
During this hands-on workshop, participants will learn how Large Language Models (LLMs) can be integrated directly into R-based data analysis workflows. The course will demonstrate practical ways to generate, edit, document, and troubleshoot R code using LLM-assisted tools, helping researchers work more efficiently and reproducibly.
 
Topics include:

Setting up and using LLM assistants in RStudio and Positron

Generating and editing R code with natural language prompts

Creating data visualizations with LLM support

Extracting structured data from PDFs using ellmer

Best practices for responsible and reproducible use of AI tools in research
This workshop is designed for researchers and R users with basic programming experience. No prior knowledge of LLMs is required.
 
Best regards,
Carlo
 
 
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Carlo Pecoraro, Ph.D


Physalia-courses DIRECTOR

info using physalia-courses.org

mobile: +49 17645230846

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