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This workshop instructed participants in how to get started with GitHub from scratch, including the basics of GitHub (account creation, organization use, permissions, and more); using GitHub to manage code and projects for academic research and teaching; best practices for data science workflows in GitHub; GitHub Actions for automated web scraping, data acquisition and dynamic data visualizations via RMarkdown; and publishing static websites and hosting them via GitHub pages.

The session consisted of brief presentations, with around 100 minutes of interactive work-along demo of data visualization with Jupyter Notebooks, and ended with Q&A. Participants learned to create data visualizations and can opt to either access Rutgers University’s high-performance computing (HPC) platform/cloud* or to run the code locally on their own computers.

We welcomed our distinguished speakers from the AI for Good Lab @ Microsoft. Anthony Cintron Roman is the Director of Data Architecture & Strategy with the AI for Good Lab […]

This event was hosted by the PISG, the MPI program and the Rutgers Urban & Civic Informatics (RUCI) Lab, the Bloustein Student Services and BGSA in collaboration with our partners at Rutgers University and our […]