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A Data Carpentry Workshop

Washington State University

June 8-9, June 12, 2017

9:00 am - 4:30 pm

Instructors: Stephanie Labou

Helpers: Alexandra Davis, Amanda Stahl, Kevin Toombs, Brad Luff, Sarah Murphy

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 data organization in spreadhseets, data cleaning with OpenRefine, and working with data using Python. 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 workshop is primarily for undergraduates in the REU program. There are no pre-requisites, and we will assume no prior knowledge about the tools. Once REU spots have been filled, we will open the workshop to graduate students.

Where: PACCAR 202, Pullman, WA. Get directions with OpenStreetMap or Google Maps.

Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating sytem (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.

Contact: Please mail for more information.


Registration coming soon!

Preliminary Schedule


Please be sure to complete these surveys before and after the workshop.

Pre-workshop Survey

Post-workshop Survey

Day 1 - June 8 am

9:00 Introduction
9:15 Data Organization in Spreadsheets
10:45 Coffee Break
11:00 Data Cleaning with OpenRefine
12:00 End Day 1

Day 2 - June 9 am

9:00 Recap
9:15 Databases and SQL
10:45 Coffee Break
11:00 Getting Started with Python
12:00 End Day 2

Day 3 - June 12 all day

9:00 Go over practice problems
9:45 Manipulating data in Python
10:45 Coffee Break
11:00 Working with data in Python (cont.)
12:00 Lunch break
1:00 Working with data in Python (cont.)
2:30 Coffee Break
2:45 Visualizing data in Python (cont.)
4:00 Wrap Up

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.