General Information

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. Bring your own data to practice new methods using R!

We find that workshops go a lot better if people come in groups, e.g., 4-5 people from one lab, half a dozen from another department or institute, etc., so that they are less inhibited about asking questions, and can support each other afterwards. So while individual sign-ups are welcome, we encourage you to sign-up with a friend.

We will cover Introduction to R & RStudio, Data analysis in R with the tidyverse, Data visualization in R with ggplot2 and Reproducible research in R with knitr. Participants should bring their laptops, with R & RStudio already installed (how?), 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. Bring your own data to participate in a 'data clinic' using the methods taught in the workshop.

There is a small fee for attending, this goes directly to the Data Carpentry organisation to support their instructor training, curriculum development, and so on (the instructors and helpers are volunteers). Please bring a hard copy of your registration confirmation to the workshop.

Who: The course is aimed at all UOW honors students, post-graduate students and staff who want to work more efficiently with their data. We especially welcome those with little to no prior computational experience.

Where: Builing 43-G01 (STF). Get directions with OpenStreetMap or 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 bmarwick@uow.edu.au for more information.

Preliminary Schedule

Surveys

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

Pre-workshop Survey

Post-workshop Survey

Setup

To participate in a Data Carpentry workshop, you will need working copies of R and RStudio 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 R and RStudio for an efficient workflow once you leave the workshop.

Please follow these Setup Instructions to install R and RStudio on your laptop.

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.