Data Carpentry Workshop 27th & 28th September
Join our Data Carpentry workshop the 27th & 28th of September! Data Carpentry is a hands-on, two-day training on the fundamental data skills needed to conduct research. We’ll get to grips with tidy data in spread sheets and fundamental descriptive analysis in R and much more to get you started working responsibly and methodologically with data. The target audience is students and researchers who have little to no prior computational experience. Read more on the event webpage, where you'll find information about the lessons, software and installation.
Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is students and 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.
Who: The course is aimed at bachelor, master, PhD. students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: Room U14 – 10.4.469 Universitetsparken 2, 2100 Copenhagen.
When: Sept 27-28, 2021.
Time: 9am to 5pm both days
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. Please check the workshop website.
Accessibility: We are committed to making this workshop accessible to everybody. The workshop organizers have checked that:
- The room is wheelchair / scooter accessible.
- Accessible restrooms are available.
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 firstname.lastname@example.org for more information
Related LibGuide: KUB Datalab by Halle Rashdan
- 9:00 - 17:00
- Time Zone:
- Central European Time (change)
- Universitetsparken - Room U14, 10.4.469
- SUND: Faculty of Health and Medical Sciences - Universitetsparken 2