July 12-13, 2017
9:00am - 4:00pm
Instructors: John Simpson, Brian Rusk, Alicia Cappello
Helpers: TBD
Data Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. 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 "Best 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: Natural Resources Engineering (NRE) 2-125. Get directions with OpenStreetMap or Google Maps.
When: July 12-13, 2017. Add to your Google Calendar.
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). They are also required to abide by Data Carpentry's Code of Conduct.
Accessibility: We are committed to making this workshop accessible to everybody. The workshop organisers have checked that:
Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.
Contact: Please email john.simpson@computecanada.ca for more information.
No refreshments provided:: Contrary to our previous practices we are not charging a fee for this workshop. One consequence of this is that refreshments will not be provided. Coffee and snacks are available on the main floor of the building and a short distance away via a between-building bridge.
If you are looking for the GitHub repository that powers this site it is at https://github.com/ComputeCanada/2017-07-12-ualberta-DC
Surveys
Please be sure to complete these surveys before and after the workshop.
| 9:00 | Welcome and Introduction |
| 9:15 | Data organization in spreadsheets |
| 10:30 | Coffee Break |
| 10:45 | OpenRefine for data cleaning |
| 12:00 | Lunch Break |
| 1:00 | Introduction to the command line |
| 2:30 | Coffee Break |
| 2:45 | Command line for automation |
| 4:00 | Wrap up |
| 9:00-9:15 | Introducing Day 2 |
| 9:15 | Getting started with RStudio and R |
| 10:30 | Coffee Break |
| 10:45 | Reading Data into R |
| 12:00 | Lunch Break |
| 1:00 | Cleaning Data in R |
| 2:30 | Coffee Break |
| 2:45 | Data Visualization in R |
| 4:00 | Wrap up |
Bonus R content is available HERE.
To participate in a Data Carpentry workshop, you will need access to the software described HERE. 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.
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.