CS 764 - Introduction to Data Science

The course covers a broad selection of data science methods. Topics include data collection, integration, management, modeling, analysis, visualization, and prediction. Students will acquire a working knowledge of data science through hands-on projects and case studies in a variety of domains. Issues of ethics will be discussed.
Lecture
Credits: 3
Prerequisite: Required knowledge of Python and approval of graduate coordinator
Offered in the Fall Semester, Alternate Years