Nov 21-22, 2017
9:00 am - 5:00 pm
Instructors: Anthony Etuk, Nicola Soranzo, Alice Minotto
Data Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. 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 "Best 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: Norwich Research Park, Norwich, NR4 7UZ. Get directions with OpenStreetMap or Google Maps.
When: Nov 21-22, 2017. 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). They are also required to abide by Data Carpentry's Code of Conduct.
Accessibility: We are committed to making this workshop accessible to everybody. The workshop organisers 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 email@example.com for more information.
Please be sure to complete the below survey after the workshop.
|09:00||Data Organization in Spreadsheets|
|11:00||OpenRefine for data cleaning|
|13:30||R for data analysis and visualization|
|15:30||R for data analysis and visualization (continued)|
|17:00||End of day 1|
|09:00||R for data analysis and visualization (continued)|
|11:00||R for data analysis and visualization (continued)|
|13:30||Data management with SQL|
|15:30||Data management with SQL (continued)|
|16:30||Wrap up and feedback|
|17:00||End of workshop|
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
You will need to bring a laptop with some required software already installed in order to attend the workshop. Please let us know as soon as possible if you are not able to bring your own laptop.
The easiest way to get set up with the prerequisites for the workshop is to install the preconfigured virtual machine (VM). This VM contains the Linux operating system and all the software needed. As such, we suggest that participants bring their laptop with this installed.
A requirement for this virtual machine is a piece of software called ‘VirtualBox’, which can be downloaded at: https://www.virtualbox.org/wiki/Downloads. There should be separate installation files for Windows, Mac, and Linux machines respectively.
If you are confident to install the requirements on your own laptop, please follow these Setup Instructions.
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.
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.