Trisha Adamus, Clare Michaud, Sarah Stevens, Tobin Magle
Erin Jonaitis, Mary Murphy
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Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct
research. Its target audience is researchers who have little to no prior computational experience,
and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly
apply skills learned to their own research.
Participants will be encouraged to help one another
and to apply what they have learned to their own research problems.
The course is aimed at graduate students and other researchers (Post-docs,
University Staff, Undergraduate Students, Faculty, etc.).
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).
We are committed to making this workshop
accessible to everybody. The workshop organizers have checked that:
The room is wheelchair / scooter accessible.
Accessible restrooms are available.
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.
For this workshop we will be using the [ADNI Dataset](http://adni.loni.usc.edu/).
Upon registration you will need to read and accept the data use agreement.
A link to download the data will be given during the workshop as this is a sensitive dataset.
For the spreadsheets lessons you will need to have a spreadsheet program,
such as Microsoft Excel or
the Calc program in OpenOffice .
If you do not already have one of these programs installed, please follow the
links above to install.
R is a programming language
that is especially powerful for data exploration, visualization, and
statistical analysis. To interact with R, we use
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
SQL is a specialized programming language used with databases. We
use a simple database manager called
SQLite in our lessons.