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A Data Carpentry Workshop

Federal Reserve Board

June 15-16, 2017

8:30 am - 4:30 pm

Instructors: Rebecca Wysak, Thomas Allard, Chris Hamm

Helpers: TBD

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 spreadsheets and the shell, Introduction to R, Git, GitLab and collaborating and R and SQL plus tidyverse. 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: 1709 New York Avenue NW, Washington, DC 20006. 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.

Preliminary Schedule


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

Pre-workshop Survey

Post-workshop Survey

Day 1

Morning Data organization in spreadsheets and the shell
Afternoon Introduction to R

Day 2

Morning Git, GitLab and collaborating
Afternoon R and SQL plus tidyverse

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.


Below are links to lesson modules that we will be referencing throughout the workshop:

Day 1

Spreadsheets & The Shell

Introduction to R

Day 2

Git, GitLab, and collaborating

SQL, R and SQL, tidyverse