Research Computing Center Offers Winter Quarter Workshops for Graduate Students, Post-docs, and Faculty

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The Research Computing Center conducts workshops on a variety of topics relevant to research computing. Sessions most relevant to social science research include:


January 22, 2019: The Python Programming for Data Science workshop is designed to introduce Python programming and other useful packages for data science. It will start with a very basic introduction of python programming. Then, a set of four important, useful and popular tools: Pandas, NumPy, SciPy, and Matplotlib, that are widely used for data scientists, will be introduced. 


January 29, 2019: The Large-Scale Data Analysis in R workshop attendees will explore commonly used strategies to efficiently analyze large-scale data sets in R. Participants will learn to automate their R analyses on a compute cluster, profile memory usage, call fast C++ routines in R, and implement simple parallelization strategies, including multithreaded and distributed computing.


February 19, 2019: The Introduction to Data Visualization Using D3 workshop allows participants to explore data and exhibit data in ways to help tell a story about data. This workshop will give a brief introduction to a specific, but very powerful and popular, machinery – Data Driven Documents (D3) which is a powerful JavaScript library and is well documented online. D3 is a javaScript library that is used to create interactive visualizations in the browser.


Sessions are held in the Biological Sciences Learning Center, Room 018. To learn more and RSVP, visit the RCC website.