Dec 16-17, 2019
9:00 am - 5:00 pm
Instructors: Varshita Sher, Kiana West, Punam Amratia
Helpers: TBD
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: Rm 2.09, Bush House, Strand, London WC2R 1ES. Get directions with OpenStreetMap or Google Maps.
When: Dec 16-17, 2019. 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).
Code of Conduct: 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.
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 fiona.wardle@kcl.ac.uk for more information.
Please be sure to complete these surveys before and after the workshop.
| Before starting | Pre-workshop survey |
| 09:00 - 09:30 | Setting up your Computer (optional) |
| 09:30 - 10:30 | Module 1: Intro to programming and the R environment |
| 10:30 - 10:45 | Morning break |
| 10:45 - 12:00 | Module 1: Intro to programming and the R environment</a> |
| 12:00 - 13:00 | Lunch Break |
| 13:00 - 14:30 | Module 2: Data Structure & Organization |
| 14:30 - 14:45 | Afternoon Break |
| 14:45 - 16:30 | Module 2: Data Structure & Organization |
| 16:30 - 17:00 | Wrap up and END |
| 09:00 - 09:30 | Module 3: Importing Exporting Data and Basic Stats |
| 09:30 - 10:30 | Module 3: Importing Exporting Data and Basic Stats |
| 10:30 - 10:45 | Morning break |
| 10:45 - 12:00 | Module 3: Importing Exporting Data and Basic Stats |
| 12:00 - 13:00 | Lunch Break |
| 13:00 - 14:30 | Module 4: Plotting Visualization using ggplot |
| 14:30 - 14:45 | Afternoon Break |
| 14:45 - 16:30 | Module 4: Plotting Visualization using ggplot |
| 16:30 - 17:00 | Post-workshop survey |
| Wrap up and END |
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.
Please visit the setup instructions for each lesson that will be covered in your workshop: