June 17-18, 2024
9:00am-2:00pm
Instructors: Lyrric Jackson
Helpers: Mya Butler, Lauren Eggleston
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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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.
NSF Acknowledgement of Support and Disclaimer: This material is based upon work supported by the National Science Foundation under Grant No. 2217346. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
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:
June 17-18, 2024.
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
ljacks@spelman.edu
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.
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.
Code of Conduct
Collaborative Notes
Surveys
Schedule
Day 1
Before starting
Pre-workshop survey
9:00-9:40am Before We Start 9:40-10:20am Introduction to R Part 1 10:20-10:30am Break 10:30-11:10am Introduction to R Part 2 11:10-11:50am Starting with Data Part 1 11:50-12:15pm Break 12:15-12:55pm Starting with Data Part 2 12:55-1:00pm Break 1:00-1:40pm Data Wrangling with dplyr 1:40-2:00pm Review & One Up-One Down Day 2
9:00-9:40am Data Wrangling with tidyr
9:40-10:30am Data Visualisation with ggplot2 Part 1
10:30-10:40am Break 10:40-11:45am Data Visualization with ggplot2 Part 2 11:45-12:10pm Break 12:10-12:55pm Starting with R Markdown 12:55-1:00pm Break 1:00-1:45pm Processing JSON data (Optional) 1:45-2:00pm Review & One Up-One Down Post-workshop survey
END
Setup