Instructor Prof. Brian D. Davison
Time/Location Tue/Thu 1:10-2:25, Whitaker 451 Catalog Description Data Science is a fast-growing interdisciplinary field, focusing on the computational analysis of data to extract knowledge and insight. This course will introduce the student to the collection, preparation, analysis, modeling, and visualization of data, covering both conceptual and practical issues. Examples and case studies from diverse fields will be presented, and hands-on use of statistical and data manipulation software will be included. Prerequisites CSE 1, 2, 12 or BIS 335 or permission of the instructor (some kind of programming experience).
Interested in understanding all the hype about data science, big data, data analytics, etc.? This may be the course for you. Take a look at the course syllabus.
You may want to start with this article by Foster Provost and Tom Fawcett that appeared in the first issue of the journal Big Data: Data Science and Its Relationship to Big Data and Data-Driven Decision Making.