July 24-25, 2023
9:30am - 5:00 pm CST
Instructors: Genevieve Milliken, Marijane White, Justin de la Cruz, Rahul Sangole
Helpers: Peace Ossom-Williamson, Amy Yarnell, Christine Hislop, Elizabeth Roth, Levi Dolan, Marijane White, Justin de la Cruz
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. 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: July 24-25, 2023. 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. For workshops at a physical location, 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 nnlm-ncds@nyulangone.org 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.
Please be sure to complete these surveys before and after the workshop.
Before starting | Pre-workshop survey |
9:30am CT | Introduction to the Workshop |
9:45am CST | Data Organization in Spreadsheets |
11:30am CST | Break |
11:45am CST | OpenRefine for Data Cleaning |
1:00pm CST | Lunch |
2:00pm CST CST | Before We Start with R |
3:15pm CST | Introduction to R |
5:00pm CST | END & Day 1 Feedback Survey |
9:30am CST | Welcome and Q&A |
9:40am CST | Starting with Data in R |
11:45am CST | Break |
12:00pm CST | Data Wrangling with dplyr |
1:00pm CST | Lunch |
2:00pm CST | Data Wrangling with tidyr |
3:00pm CST | Data Visualization with ggplot2 |
4:00pm CST | Break |
4:15pm CST | Data Visualization, continued | 5:00pm CST | 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.
The setup instructions for the Data Carpentry Social Sciences workshops (with R) can be found at the workshop overview site.