Publication Date

2018

Course Name

Data Oriented Computing and Analytics

Abstract

Prerequisite: Instructor permission Practical hands-on introduction to data science and data analytics tools and acquiring, storing, manipulating, and exploring data - both big and small. Examples from bioinformatics (e.g., genomics), health care informatics, urban and regional planning, astronomy and data journalism. Extensive writing of formal reports.

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