November 29-30th, 2018
9:00am - 4:30pm
Instructors: Murray Cadzow, Arindam Basu
Helpers: Pierre-Yves Dupont, David Wood
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.
When: November 29-30th, 2018. Add to your Google Calendar.
Requirements: Participants will be provided with a laptop with the necessary software on it. 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 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 email@example.com for more information.
Please be sure to complete these surveys before and after the workshop.
|Before starting||Pre-workshop survey|
|Morning||Data organization in spreadsheets|
|Introduction to R|
|Afternoon||Introduction to R|
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
Participants will be provided with a laptop with the necessary software on it