Dear all, We are excited to announce our upcoming online course on Reproducibility Data Analysis with R, which will be held online from October 28-31. This course is designed to help you streamline your R projects for better collaboration and reproducibility. Course website: ( https://www.physalia-courses.org/courses-workshops/r-reproducibility/ ) Have you ever faced challenges with sharing your R code, such as missing packages, unclear scripts, or code that breaks after updates? This course will equip you with the skills to avoid these issues. Learn to leverage tools like RMarkdown, renv, version control, and more to ensure your projects run smoothly, even weeks later. This course is ideal for researchers, data scientists, and anyone using R to generate documents who wishes to collaborate efficiently. A basic understanding of R is recommended. By the end of this course, you will be able to: Create reproducible R projects and documents Manage package dependencies Track changes using git Collaborate using GitHub Create and publish containers Daily Schedule: 9 AM - 1 PM (Berlin time): Live lectures, coding, and exercises Asynchronous support via Slack For the full list of our courses and workshops, please visit: ( https://www.physalia-courses.org/courses-workshops/ ) Best regards, Carlo Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR info@physalia-courses.org mobile: +49 17645230846 "info@physalia-courses.org" (to subscribe/unsubscribe the EvolDir send mail to golding@mcmaster.ca)