Instructor Prof. Brian D. Davison
Time/Location Online/Asynchronous + one day per week in person: M or W 1:35-2:50pm 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 from diverse fields will be presented, and hands-on use of statistical and data manipulation software will be included. Prerequisites CSE 2, 4, 7, 12 or BIS 335 or permission of the instructor (some kind of programming experience). Useful Links CourseSite
Interested in understanding all the hype about data science, big data, data analytics, machine learning, data mining? 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.
This course is one of many that count toward the Certificate in Business Analytics (for students in the College of Business and Economics) and is required for the Minor in Data Science (available to all undergraduates). It also counts as a Science and Technology course for CS majors, and as a CS elective for the CS minor.