Drexel University 3 credits INFO
Introduces the main tools and ideas in the data scientist's toolbox. Focuses writing interactive and programming code for extracting, cleansing, wrangling, transforming, reshaping, and analyzing data. Covers practical tools and ideas including Linux command line, version control, git, and interactive programming. Studies various Python packages for high performance data analysis.
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