Jan 19-20, 2016
9:00 am - 4:30 pm
Instructors: John Moreau, Zhuo Fu
Helpers: Mathew Seymour
Data Carpentry: develops and teaches workshops on the fundamental data skills needed to conduct research. Our mission is to provide researchers high-quality, domain-specific training covering the full lifecycle of data-driven research. Data Carpentry is a sibling organization of Software Carpentry. Where Software Carpentry teaches best practices in software development, our focus is on the introductory computational skills needed for data management and analysis in all domains of research. Our lessons are domain specific, from life and physical sciences to social science and build on the existing knowledge of learners to enable them to quickly apply skills learned to their own research. For more information on what we teach and why, please see our paper "Best Practices for Scientific Computing".
Who: The course is aimed at scientists (Ph. D.), IT specialists and technicians (BS/MS level). Attendees are learners who have little to no prior computational experience. We create a friendly environment for learning to empower researchers and enable data driven discovery.
Contact: Please mail firstname.lastname@example.org for more information.
|09:00||Data organization in spreadsheets and Open refine|
|09:00||Data analysis and visualization in R|
|13:00||Data management with SQL|
To participate in a Data 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.
SQL is a specialized programming language used with databases. We use a simple database manager called SQLite in our lessons.
The Software Carpentry Windows Installer installs SQLite for Windows. If you used the installer to configure nano, you don't need to run it again.
SQLite comes pre-installed on Mac OS X.
SQLite comes pre-installed on Linux.