June 11, 15, 17, 19 2020
1:00-4:30 p.m. (Except for June 19 - 8:30 a.m.-12:00 p.m.)
Instructors: Clare Michaud, Iain McConnell, Sarah Stevens, Sailendharan Sudakaran
Helpers: Heather Shimon, Casey Schacher, Jennifer Patino, Scott Wildman, Srikanth Aravamuthan, Mary Murphy
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 undergraduate student researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: Online. Get directions with OpenStreetMap or Google Maps.
When: June 11, 15, 17, 19 2020. 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. The workshop organizers have checked that:
Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.
Contact: Please email facilitator@datascience.wisc.edu for more information.
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.
| Before | Pre-workshop survey |
| June 11 | Data Organization in Spreadsheets |
| June 11 | Cleaning Data with OpenRefine |
| June 15 | Data Management with SQL |
| June 17 | Intro to R and dplyr |
| June 19 | R ggplot and Rmd |
| END | Post-workshop survey |
To participate in a Data Carpentry workshop, you will need access to the software 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.
The setup instructions for the Data Carpentry Ecology workshops (with R) can be found at the workshop overview site.