THIS WORKSHOP WILL BE RESCHEDULED due to GW's updated policy regarding in-person events. Instructors will be emailing registrants with more information.
In this workshop, we’ll start by getting a grasp on common data and coding jargon, followed by sessions on regular expressions (a mini programming language for pattern matching), OpenRefine (a tool for batch editing textual data), and Python (a general-purpose, user-friendly programming language with lots of applications to textual and data analysis). This is a two-day introductory workshop for anyone interested to learn how to use computational tools in their work or research.
Participants will be able to explore tools for working with text as data at scale; practice basic programming concepts, including variables, conditionals, and loops; and learn best practices for cleaning textual data for analysis.
For more information, view the daily schedule here.
This workshop is part of the Using Programming and Code for Research workshop series for for anyone who wants to get started or learn more about use programming languages like Python, R, or other applications. These tools can help you to collect, manipulate, clean, analyze, and visualize research data or automate many repetitive tasks. If you need personalized assistance with a data analysis, programming, or coding project, consider booking a consultation with one of our librarian-experts. Learn more about our services for programming and coding and for working with data.
GW has an institutional commitment to ensuring that all of our programs and events are accessible for all individuals. If you require any accommodations to participate in this event, please contact email@example.com at least 72 business hours (3 business days) prior to the event.
In-person attendance of this workshop is open to GW students, faculty, and staff whose GWorld allows them to tap into Gelman Library. No visitors will be allowed into Gelman to attend this workshop.