16-17 April 2020
9:00 - 17:00
Instructors: Martino Sorbaro, Aleks Nenadic, Antonia Mey
Helpers: Lucia Michielin, Fazl Barez, Robert Nagy, Steven Carlysle-Davies, Giacomo Peru
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.
When: 16-17 April 2020. 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).
Contact: Please email lucia.michielin@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.
| Before starting | Pre-workshop survey |
| Morning | Data Organization in Spreadsheets |
| OpenRefine for Data Cleaning | |
| Afternoon | Introduction to Python |
| Evening | END |
| Morning | Continuation of Python: Data analysis and Visualization |
| Afternoon | Continuation of Python: Data analysis and Visualization |
| Evening | Post-workshop survey |
| 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.
The setup instructions for the Data Carpentry Ecology workshops (with Python) can be found at the workshop overview site.
More informations on how to install Anaconda can be found here.