Online
Oct 23-25, 2023
14:00-16:00, 10:00-12:00, 10:00-12:00, 14:00-16:00
Instructors: Chris Oldnall, Rhys Davies, Lucia Michielin
Helpers: Chris Oldnall, Rhys Davies, Lucia Michielin
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: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.
When: Oct 23-25, 2023. Add to your Google Calendar.
Requirements: Participants must have access to a computer 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 dedicated to providing a positive and accessible learning environment for all. Please notify the instructors in advance of the workshop if you require any accommodations or if there is anything we can do to make this workshop more accessible to you.
Contact: Please email cdcs@ed.ac.uk 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.
Time | Session | Link to Materials |
---|---|---|
Before starting | Pre-workshop survey | Link to survey |
14:00-16:00 | Data Organization in Spreadsheets | Link to slides. |
10:00-12:00 | OpenRefine for Data Cleaning | Link to slides. |
Time | Session | Link to Materials |
---|---|---|
10:00-12:00 | Introduction to R | R Materials. |
14:00-16:00 | Introduction to R continues | R Materials. |
Afternoon | Post-workshop survey | Link to 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 Science workshops (with R) can be found here.