Feb 24-25, 2025
9:00 am - 1:00 pm CET
Instructors: Saneesh Soman
Helpers: Dr. Sebastian Starke
The Carpentries project comprises the Software Carpentry, Data Carpentry, and Library Carpentry communities of Instructors, Trainers, Maintainers, helpers, and supporters who share a mission to teach foundational computational and data science skills to researchers.
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Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
For more information on what we teach and why, please see our paper "Best Practices for Scientific Computing".
Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: Online. This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.
When: Feb 24-25, 2025; 9:00 am - 1:00 pm CET Add to your Google Calendar.
Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).
Accessibility: We are committed to making this workshop accessible to everybody.
Glosario is a multilingual glossary for computing and data science terms. The glossary helps learners attend workshops and use our lessons to make sense of computational and programming jargon written in English by offering it in their native language. Translating data science terms also provides a teaching tool for Carpentries Instructors to reduce barriers for their learners.
Contact: Please email hida-courses@helmholtz.de for more information.
Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.
Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
| 09:00 | Short introduction of participants and Introduction to R and RStudio |
| 10:00 | Project Management With RStudio |
| 10:20 | Seeking Help |
| 10:45 | Coffee break & short feedback |
| 10:50 | Data Structures |
| 11:15 | Subsetting Data |
| 12:35 | Creating Publication-Quality Graphics with ggplot2 |
| 12:50 | Wrap-up |
| 13:00 | END |
| 09:00 | Recap and feedback |
| 09:30 | Creating Publication-Quality Graphics with ggplot2 (Continued) |
| 10:00 | Data Frame Manipulation with dplyr |
| 10:55 | Producing Reports With knitr |
| 11:30 | Coffee break |
| 11:40 | Producing Reports With knitr (Continued) |
| 12:45 | Filling out feedback |
| 12:55 | Wrap-up |
| 13:00 | END |
To participate in a Software Carpentry workshop, you will need access to software as described below. In addition, you will need an up-to-date web browser.
Like other Carpentries workshops, you will be learning by "coding along" with the Instructors. To do this, you will need to have both the window for the tool you will be learning about (a terminal, RStudio, your web browser, etc..) and the window for the Zoom video conference client open. In order to see both at once, we recommend using one of the following set up options: 1. Two monitors: If you have two monitors, plan to have the tool you are learning up on one monitor and the video conferencing software on the other. 2. Two devices: If you don't have two monitors, do you have another device (tablet, smartphone) with a medium to large sized screen? If so, try using the smaller device as your video conference connection and your larger device (laptop or desktop) to follow along with the tool you will be learning about. 3. Divide your screen: If you only have one device and one screen, practice having two windows (the video conference program and one of the tools you will be using at the workshop) open together. How can you best fit both on your screen? Will it work better for you to toggle between them using a keyboard shortcut? Try it out in advance to decide what will work best for you.
We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.
R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we use RStudio.
Install R by downloading and running this .exe file from CRAN. Also, please install the RStudio IDE. Note that if you have separate user and admin accounts, you should run the installers as administrator (right-click on .exe file and select "Run as administrator" instead of double-clicking). Otherwise problems may occur later, for example when installing R packages.
Install R by downloading and running this .pkg file from CRAN. Also, please install the RStudio IDE.
Instructions for R installation on various Linux platforms (debian,
fedora, redhat, and ubuntu) can be found at
<https://cran.r-project.org/bin/linux/>. These will instruct you to
use your package manager (e.g. for Fedora run
sudo dnf install R and for Debian/Ubuntu, add a ppa
repository and then run sudo apt-get install r-base).
Also, please install the
RStudio IDE.