General Information

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.

• Basics of programming in R and RStudio.
• Basics of R Data Science libraries including plyr, dplyr, tidyr, ggplot2 and knitr.
• 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 computing skills.

This is a live-coding based workshop and learners are expected to bring their own laptops with the required software already downloaded and installed.

For more information on what Software Carpentry teaches and why, please see their paper "Best Practices for Scientific Computing".

Who: 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.

Where: Auditorium 215 (between bldg. 2-3, level 0). Get directions with OpenStreetMap or Google Maps.

When: 2 September 2019. Add to your Google Calendar.

Registration: Register Now!

Course Materials: R For Reproducible Scientific Analysis

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.

Contact: Please email help@vis.kaust.edu.sa for more information.

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Surveys

Please be sure to complete these surveys before and after the workshop.

Pre-workshop Survey

Post-workshop Survey

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Schedule

We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.

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Syllabus

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Setup

To participate in a Software 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.