The KAUST Visualization Lab is hosting an Introduction to R for Data Science workshop.
Visualization lab staff will provide an introduction to R for data science designed for learners
with little or no previous programming experience. Topics covered will include the following.
Next steps for more advanced training in R for data science.
This hands-on lesson is part of the Introduction to Data Science Workshop Series
being offered by the KAUST Research Computing Core Labs as part of our on-going efforts to build
capacity in core data science skills at KAUST. The workshop curriculum largely follows the
curriculum developed by
Software Carpentry, a volunteer project dedicated to helping
researchers get their work done in less time and with less pain by teaching them basic research
This is a live-coding based workshop and learners are expected to bring their own laptops with
the required software already downloaded and installed.
The course is aimed at graduate students (MSc and PhD), Post-docs, faculty and other research staff at KAUST.
You don't need to have any previous knowledge of the tools that will be presented at the workshop.
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).
Code of Conduct: Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.
Install R by downloading and running
this .exe file
Also, please install the
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.
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