Dear all,
We are excited to announce our upcoming online course: Reproducibility Data Analysis with R, taking place from 28-31 October. This course is designed to help researchers, data scientists, and R users enhance the reproducibility and collaboration of their projects.
Course website: [ https://www.physalia-courses.org/courses-workshops/r-reproducibility/ ]( https://www.physalia-courses.org/courses-workshops/r-reproducibility/ )
Course Overview:
Have you ever struggled with sharing R code that doesn't work on another machine or even fails when you try to rerun it yourself after some time? This course will teach you how to organize your projects to avoid these problems by leveraging tools in the R ecosystem, such as RMarkdown/Quarto, renv, Git, and Docker.
What You?ll Learn:
Create reproducible R projects
Manage environments and dependencies with renv
Collaborate using Git & GitHub
Share and publish data and containers using Docker
Target Audience:
This course is ideal for researchers, data scientists, and anyone who uses R to generate documents and wants to collaborate with others or future-proof their work. Basic knowledge of R is recommended, but no advanced skills are required.
Course Format:
Dates: 28-31 October 2024
Time: 9 AM - 12 PM (Berlin time) each day
Format: Online live lectures, coding, and exercises
Asynchronous support via Slack for homework
Don't miss this opportunity to improve your R skills and make your work more reproducible and collaborative!
Best regards,
Carlo
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Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
info at physalia-courses.org
mobile: +49 17645230846