2021-2022
Second Fridays 2:00 pm - 4:00 pm
Instructors: R. N. Uma, Alade Tokuta, Tonny Sangutei
Helpers: TBA
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 faculty, graduate students, advanced undergraduate students, and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: Room 3226 Mary Townes Science Building. Get directions with OpenStreetMap or Google Maps.
When: 2021-2022. Add to your Google Calendar.
Requirements: Participants may bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. If possible, before the start of the workshop, 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 ruma@nccu.edu or atokuta@nccu.edu for more information.
Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.
Who can attend?: This workshop is open to anyone affiliated with NC Central University. Others, please contact the lead instructors listed under "Contact".
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.
| The following is a suggested schedule. | |
| We can add topics based on faculty interest. | |
| We can incorporate datasets based on faculty interest. |
| 2:00 - 2:30 pm | Logistics and Plan for the Year |
| 2:30 - 3:30 pm | OpenRefine for Data Cleaning |
| 3:30 - 4:00 pm | Open Discussion |
| 2:00 - 3:00 pm | OpenRefine for Data Cleaning (continued) |
| 3:00 - 4:00 pm | Invited Talk on Sports Analytics by Tim Chartier @ Davidson University (tentative date - details forthcoming) |
| 2:00 - 3:30 pm | Introduction to R |
| 3:30 - 4:00 pm | Open Discussion |
| 2:00 - 3:30 pm | Introduction to R (continued) |
| 3:30 - 4:00 pm | Open Discussion |
| 2:00 - 3:30 pm | Continuation of R: Data Analysis & Visualization |
| 3:30 - 4:00 pm | Open Discussion |
| 2:00 - 3:30 pm | Continuation of R: Data Analysis & Visualization (continued) |
| 3:30 - 4:00 pm | Open Discussion |
| 2:00 - 3:30 pm | Continuation of R: Data Analysis & Visualization (continued) |
| 3:30 - 4:00 pm | Open Discussion |
| 2:00 - 3:30 pm | Faculty Requested Topics |
| 3:30 - 4:00 pm | Open Discussion |
| 2:00 - 3:30 pm | Faculty Requested Topics |
| 3:30 - 4:00 pm | Open Discussion |
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.