A head-to-head comparison of Python, R, Julia, and SAS for typical data science workflow (from data ingestion, data tidying and wrangling, data visualization, to analytics), using a real-world big data set. (Previous knowledge of these languages is not required.)
Module 2: Computational Genomics Using Julia, 3:30pm-5:30pm
Exploration of Julia data science tools for reading, visualizing, and analyzing genomic data.
Module 3: Career Panel with Data Scientists, 6pm-7pm
Panelists from academia and industry will share their experiences as practicing data scientists.