DATA ORIENTED COMPUTING AND ANALYTICS

Catalog description

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. Offered every spring.