Oct 6-7, 2018
11:00 am - 5:00 pm
Instructors: Shaily Gandhi, Bindi Dave
Helpers: NA
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: FT 216, Faculty of Technology, CEPT University, Kasturbhai Lalbhai Campus, University Road, Navrangpura, Ahmedabad-380009 Gujarat, India. Get directions with OpenStreetMap or Google Maps.
When: Oct 6-7, 2018. Add to your Google Calendar.
Requirements: Participants must bring a laptop with a 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.
Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance.
Number of Seats: Due to the limited availability of seats, early registration is strongly recommended to ensure your participation. Please Register Online using this Link which must be received no later than October 3, 2018.
Contact: For Registration and more information please email shaily.gandhi@cept.ac.in or bindi.dave@cept.ac.in .
Before starting 10:45 - 11:00 am | Pre-workshop survey |
Morning | Introduction to Geospatial Concepts |
Setting up your systems | |
Afternoon | Introduction to R for Geospatial Data |
Evening | END |
Morning | Introduction to Geospatial Raster Data with R |
Afternoon | Introduction to Geospatial Vector Data with R |
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.
R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we use RStudio.
Install R by downloading and running this .exe file from CRAN. Also, please install the RStudio IDE. Note that if you have separate user and admin accounts, you should run the installers as administrator (right-click on .exe file and select "Run as administrator" instead of double-clicking). Otherwise problems may occur later, for example when installing R packages.
Install R by downloading and running this .pkg file from CRAN. Also, please install the RStudio IDE.
You can download the binary files for your distribution
from CRAN. Or
you can use your package manager (e.g. for Debian/Ubuntu
run sudo apt-get install r-base
and for Fedora run
sudo dnf install R
). Also, please install the
RStudio IDE.