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Building on Python language basics learned in Introduction to Python Programming, this workshop will introduce participants to reading in, analyzing, and visualizing data in Python using the Pandas library. If you are new to Python, we recommend attending Introduction to Python Programming before attending this workshop.


This workshop is part of the Using Programming and Code for Research series 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.

This workshop is part of the Tools for Data Analysis series for those looking to deepen their understanding of how to interact with data and more effectively and creatively communicate their research findings to wide audience. If you need personalized assistance with a data analysis, programming, or a coding project, consider booking a consultation with one of our librarian-experts. Learn more about our services to support programming and coding and for working with data.

This workshop is part of the Program with Python series for for anyone who wants to get started or learn more about using the programming language Python. 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.

This workshop is part of the Open Source Solutions series for GW community members looking to use open source tools like Python, R, and QGIS for data collection, analysis, and visualization. To learn more about open source tools, open science, or open scholarship at GW, visit the Open Source Program Office’s website.

All sessions are free to GW students, faculty, staff, and alumni. 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 libraryevents@gwu.edu at least 72 business hours (3 business days) prior to the event.

In-person attendance of this workshop is open to anyone whose GWorld allows them to tap into Gelman Library.

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