Speaker: Jordan Raddick, Associate Director for Education at the Institute for Data-Intensive Engineering and Science (IDIES), Johns Hopkins University
Do you use big scientific data in your research or teaching? Learn how to use the SciServer online science platform to search through, visualize, and analyze Petabytes of data quickly and easily. Bring the analysis to the data to run quick, effortless cross-comparisons among our many available public datasets – or even your own data. Visualize data, explore patterns, and fit models with powerful computational tools in Python, R, Matlab, or Julia. Share your data and analysis scripts with colleagues and students. Create demos and assign homework exercises for introductory through graduate courses using SciServer’s educational tools. In this workshop, we will show you how to do all this and more with hands-on experience using the tools of SciServer (www.sciserver.org).
This is a part of the Love Data Week 2024 events. Check the full event schedule and register here https://dataservices.library.jhu.edu/love-data-week/schedule/.