Are you done with your experiment and wondering how in the world to analyze the mountain of data you generated? Is your advisor hating your Excel-drawn plots? Join us this IAP and build a data management toolbox worthy of your science! We will cover relational data management, data preparation, data cleaning, visualizations, parallelism, the basics of ML and a lot of chances to try things out on your own and ask questions. Introductory (very basic, really) python knowledge assumed. Course website: https://github.com/mitdbg/iap-class

Sign Up here: https://forms.gle/7kHjn5XSWeCKC8Hs7