Find us on GitHub

A Data Carpentry Workshop

Iowa State University

Feb 22-23, 2016

9:00 am - 4:30 pm

Instructors: Jinlyung Choi, Josh Herr, April Wright, Qingpeng Zhang

Helpers: Adina Howe

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.

We will cover Organizing your data, and intro, Unix shell tutorial, Automation, Version Control with Git & Data analysis and visualization in Python and Data analysis with R dplyer. Participants should bring their laptops 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.

Who: The course is aimed at graduate students and other researchers.

Where: Gold room, Cardinal room at the Memorial Union. Get directions with OpenStreetMap or Google Maps.

Requirements: Participants must bring a laptop with a few specific software packages installed (listed below). They are also required to abide by Data Carpentry's Code of Conduct.

Contact: Please mail for more information.

Preliminary Schedule

Day 1

Morning Organizing your data, and intro
Afternoon Unix shell tutorial, Automation

Day 2

Morning Version Control with Git & Data analysis and visualization in Python
Afternoon Data analysis with R dplyer

We will use this Etherpad for chatting, taking notes, and sharing URLs and bits of code.


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

Please follow these Setup Instructions.

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.