May 30-31, 2016
9:00 am - 5:00 pm
Instructors: Lukas Weber, Frank Pennekamp, Geoffrey Fucile
Helpers: Felix Hartmann, Helen Lindsay, Malgorzata Nowicka, Gian-Marco Palmara, Stephan Schmeing, Charlotte Soneson, Stefan Wyder
Data Carpentry workshops are for any researcher who has data they want to analyze, and no prior computational experience is required. This hands-on workshop teaches basic concepts, skills and tools for working more effectively with data.
We will cover Data organization in spreadsheets, Introduction to the command line, Data analysis in R and Data visualization in R. Participants should bring their laptops and plan to participate actively. By the end of the workshop learners should be able to more effectively manage and analyze data and be able to apply the tools and approaches directly to their ongoing research.
Who: The course is aimed at PhD students, postdocs, and other researchers in biology. No prior computational or programming experience is assumed.
Where: Irchel campus, University of Zurich. The first day of the workshop (30th May) will be held in room Y55-L-06/08, and the second day (31st May) in room Y34-J-01. A map of the Irchel campus showing the locations of buildings Y55 and Y34 is available here. Please leave some time to find your way around the campus if you are unfamiliar with it. Directions are available with Google Maps.
Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating sytem (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.
Contact: Please mail email@example.com for more information.
Please be sure to complete these surveys before and after the workshop.
|Morning||Data organization in spreadsheets|
|Afternoon||Introduction to the command line|
|Morning||Data analysis in R|
|Afternoon||Data visualization in R|
Morning break: 10:30 - 11:00
Lunch break: 12:30 - 13:30
Afternoon break: 15:00 - 15:30
Course materials will be based on the Data Carpentry Ecology Workshop and Genomics Workshop lessons, available on the Data Carpentry website.
dplyrpackage for data management and aggregation. The introduction to R is done without any specific dataset, whereas
dplyrwill be demonstrated using the aggregated R-genomics dataset.
To participate in a Data Carpentry workshop, you will need working copies of the described software. Please make sure to install everything (or at least to download the installers) before the start of your workshop. Participants should bring and use their own laptops to insure the proper setup of tools for an efficient workflow once you leave the workshop.
Please follow these Setup Instructions; also see the additional setup information for the command line session above.
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.