Dear all, Are you looking to strengthen your analytical skills and build a solid foundation in statistics using R? If so, our upcoming Introduction to Statistics in R course—running online from 19–23 January 2026—is the perfect place to start. Course website: [ https://www.physalia-courses.org/courses-workshops/fmc/ ]( https://www.physalia-courses.org/courses-workshops/fmc/ ) Designed for beginners, this hands-on course will introduce you to R and RStudio, guide you through essential statistical concepts, and help you learn how to perform both descriptive and inferential analyses. You’ll explore real research questions, work with tidyverse tools, create clear and compelling data visualisations, and gain confidence in building and interpreting statistical models. Whether you're an early-career researcher or a practitioner aiming to expand your analytical toolbox, the course offers a supportive environment with a mix of lectures and practical exercises. No prior experience in R, programming, or statistics is required—just curiosity and a willingness to learn. Best regards, Carlo
-------------------- Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR [email protected] mobile: +49 17645230846 [ Bluesky ]( https://bsky.app/profile/physaliacourses.bsky.social ) [ Linkedin ]( https://www.linkedin.com/in/physalia-courses-a64418127/ ) [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
