Introduction to Data Analysis with R

Synopsis

R is one of the most widely used tools for data analysis in research. This two-session workshop provides beginners with a practical foundation so they can work independently with their own data after the course. Over four hours, you will get comfortable in R and RStudio, learn to load and manipulate data, and build publication-ready visualizations using core tidyverse packages (readr, readxl, dplyr, and ggplot2). The focus is on real-life workflows rather than programming theory, so the skills transfer directly to your own research data, regardless of your field.

Outcomes

Navigate R and RStudio confidently.
Load data from CSV and Excel files and reshape it for analysis with dplyr.
Create and export publication-ready plots with ggplot2.
Leave with course materials and example scripts to adapt to your own data.

Session Dates:

Sunday, February 14, 2027 | 17:00–19:00 (Israel Time)

Wednesday, February 17, 2027 | 17:00–19:00 (Israel Time)

Participation in all sessions is required.

About the Instructor

Dr. Selina Baldauf is a theoretical ecologist and scientific programmer at Freie Universität Berlin. She works with researchers on reproducible code, data analysis, and digital workflows for scientific work. Her teaching covers R, Git, and Obsidian, with a focus on practical skills that fit into a real research routine.