INFS6720-B Data Mining (Spring 2023)
For additional course information, First Class requirements, syllabus, etc., check the About The Instructor(s) section for a link to a Faculty Website.
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: 4 (03/04/2023 - 04/28/2023)
Days: ONLINE
Time: -
Location: Internet/Online
Room:
Seats Available: No Seats 0 Waiting
Credits: 3
Course Description
Data Mining provides students with an overview of data mining, with an emphasis on using data mining as an effective problem-solving strategy. The course explores the statistical techniques behind a wide range of data mining tools. Students also gain hands-on experience using various software packages such as Microsoft Excel or XLMiner, or open-source programming languages, such as Python or R, to solve case problems. The course covers several key data mining topics, including the use of data mining, data mining algorithms, associative and sequential patterns, data clustering, data cleaning, and data visualization.
Course Materials
Visit the Bookstore. Click for required materials for this course.About the Instructor(s)
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