Online
Jun 8-11, 2021
9:00 - 13:00
Instructors: Aleksander Jankowski, Vanessa Linke
Helpers: Dagmara Błaszczyk, Mateusz Staniak, Tomasz Stępkowski, Patrycja Rosa
Some adblockers block the registration window. If you do not see the registration box below, please check your adblocker settings.
Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. 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 "Good Enough Practices for Scientific Computing".
Who: The course is aimed at graduate students and other researchers from the scientific community of Warsaw. The course is co-hosted by the University of Warsaw and the International Institute of Molecular Mechanisms and Machines (IMol) of the Polish Academy of Sciences. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.
When: Jun 8-11, 2021. Add to your Google Calendar.
Requirements: Participants must have access to a computer 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 dedicated to providing a positive and accessible learning environment for all. Please notify the instructors in advance of the workshop if you require any accommodations or if there is anything we can do to make this workshop more accessible to you.
Contact: Please email ajank@mimuw.edu.pl 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.
Please be sure to complete these surveys before and after the workshop.
We will mostly follow the curriculum of the Data Carpentry lesson Data Analysis and Visualization in R for Ecologists.
| Before starting | Pre-workshop survey |
| 9:00 | Before we start, Introduction to R |
| 10:50 | Coffee break |
| 11:10 | Starting with data |
| 9:00 | Manipulating, analyzing and exporting data with tidyverse |
| 10:50 | Coffee break |
| 11:10 | Manipulating, analyzing and exporting data with tidyverse (continued) |
| 9:00 | Data visualization with ggplot2 |
| 10:50 | Coffee break |
| 11:10 | Data visualization with ggplot2 (continued) |
| 9:00 | Foundations of R programming: Control Flow, Functions Explained |
| 10:50 | Coffee break |
| 11:10 | Foundations of reproducible scientific analysis: Producing Reports With knitr, Writing Good Software |
| End | Post-workshop survey |
To participate in a Data Carpentry workshop, you will need access to software as described below. In addition, you will need an up-to-date web browser.
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.
Please install a recent version of R and RStudio, as well as a few required R packages. The setup instructions can be found at the overview site of the Data Analysis and Visualization in R for Ecologists lesson. If you encounter any problems, you can get help during the troubleshooting session on the day before the workshop.
If you haven't used Zoom before, go to the official website to download and install the Zoom client for your computer.
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: