R workflows

Develop reusable R workflows for collecting research data from public websites. Learn HTML structure and selectors, extract relevant text and tables with R packages, and clean, transform and export the results into analysis-ready datasets. Demonstrations, live coding, quizzes and individual or group exercises develop adaptable scripts. The course prioritises official APIs and addresses scraping when no suitable API exists, including respect for terms of service, copyright and server load. 10–11 December 2026, daily 16:00–19:30, Europe/Madrid (CET, UTC+1). Seven live hours plus three hours of

Develop reliable R workflows for biological and ecological research, from project organization and functional programming to reproducible reporting and collaboration. Hands-on sessions cover tidy evaluation, iteration with purrr, graphics with ggplot2, Quarto reports and GitHub. The final day examines AI coding assistants, context management and agentic workflows, emphasizing critical review and validation of generated code. 2026-10-27–2026-10-30, 13:00–19:00 daily, Europe/Berlin (CET, UTC+01:00). Online course; fee €480. Working knowledge of R data structures, functions and plotting, familia