UC Davis Data Carpentry

Tracy Teal edited this page Feb 9, 2015 · 10 revisions

UC Davis Data Carpentry Workshop

February 9-10th, 2015

###Location: Shields Library Instruction Room - 2nd floor ###Time: 9:00am - 4:30pm

Etherpad: https://datacarpentry.etherpad.mozilla.org/38

Instructors and helpers will be available starting at 8:30am both days to help with any installation issues. Please bring your own laptop and power cord, and plan to come early if you do not have all the required software (R, RStudio, and a command-line shell) installed.

Required Software & Installation Instructions
If you'd like help getting software getting installed and setup, our instructors will be at the Davis R Users' Group drop-in hours today (Friday) from 10-12 in Wickson Hall room 2124

You should receive a link to a pre-assessment form. Please fill that out before the workshop.


Data Carpentry's aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain.

Schedule
Day 1 morning: Data organization in spreadsheets and data cleaning withe OpenRefine
Day 1 afternoon: Working with data in R
Day 2 morning: Data analysis and visualization in R
Day 2 afternoon: Workflows and automating repetitive tasks with command line shell

The concepts, skills, and tools we teach are domain-independent, but example problem cases and datasets will be taken from organismal and evolutionary biology, biodiversity science, ecology, and environmental science.

Data Carpentry's teaching is hands-on, so participants are required to bring their own laptops. (We will provide instructions on setting up the required software several days in advance) There are no pre-requisites, and we will assume no prior knowledge about the tools.

Updates will be posted to this website as they become available.

About

Instructors: Michael Levy, Noam Ross, Tracy Teal, Easton White
Assistants: Bonnie Dixon, Joe Dumit, Jenna Lang
Who: The course is aimed at graduate students, postdocs, research staff, and other researchers.
Skill Level: Beginner. This Data Carpentry workshop is meant for newcomers to data science.
Where: UC Davis, Scripps Library Instruction Room
Requirements: Participants must bring a laptop with a few specific software packages installed. If you will be traveling from out of town, you will need to make your own travel arrangements.
Contact: Please email admin@datacarpentry.org for questions and information not covered here.
Twitter: @datacarpentry
Prior registration is required for attending this workshop.

###Installation instructions

To participate in a Data Carpentry workshop, you will need working copies of the software described below. Please make sure to install everything (or at least to download the installers) before the start of your workshop. You will need R, RStudio and a command-line shell. Details for installation for Windows and Mac are below.

Windows

Command-line shell
Install a Bash shell for Windows from the msysGit project's homepage. This will provide you with a command shell.
http://msysgit.github.io

R
Download and install R from CRAN using the Windows installer.
http://cran.r-project.org

RStudio
Download and install the Windows version of the RStudio Desktop. This provides an nice interface to working with R.
http://www.rstudio.com/products/rstudio/download/

Mac

Command-line shell
Mac's come with a command-line shell, called Terminal. To access the Terminal, go to Applications/Utilities.

R
Download and install R from CRAN using the Mac installer.
http://cran.r-project.org

RStudio
Download and install the Mac version of the RStudio Desktop. This provides an nice interface to working with R.
http://www.rstudio.com/products/rstudio/download/

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