STAT5100-L1 Fundamental Of Data Science (Fall 2022)
Course Details
Section will be taught totally online with no scheduled class meetings. Students must arrange for daily access to a computer and the Internet prior to the start of classes. Robert Morris labs are to be used only as a backup in special situations and may not be relied upon for extended periods of time. In addition to the Internet link, online classes have a large emphasis on email. All messages from the instructor and other information regarding online classes, including user ids, passwords, and login instructions will be sent to your Robert Morris University email account. Visit http://rmu.blackboard.com/ for more information.
Session, Dates: 2 (08/27/2022 - 10/21/2022)
Days: ONLINE
Time: -
Location: Internet/Online
Room:
Seats Available: 3 Seats
Credits: 3
Course Description
This course aims to provide students with a solid background in problem formulation and the fundamental statistical techniques and applications to data science. Topics include problem formulation, descriptive statistics, inferential statistics, confidence intervals, hypothesis testing, non-parametric statistics, experimental design, and categorical data. Emphasis will be placed on applying these techniques to large data sets. The language R will be used extensively. It is assumed that students will already have taken an undergraduate course in statistical techniques.
Course Materials
Visit the Bookstore. Click for required materials for this course.About the Instructor(s)
David G. Hudak, Ph.D.
hudak@rmu.edu
412-397-4056 phone
412-397-4075 fax
John Jay 313
Profile
Department Head, Mathematics
Mathematics
Professor of Actuarial Science and Mathematics
Mathematics
hudak@rmu.edu
412-397-4056 phone
412-397-4075 fax
John Jay 313
Profile