Undergraduate Degrees, Majors and Concentrations

INFS4220 - Data Mining Applications

Fall 2020

Data Mining Applications offers the student an introduction to data mining and data warehousing concepts with emphasis placed on formulating and leveraging the de-normalized "star schema" data warehouse design. The statistical techniques behind the wide variety of data mining tools available are analyzed and applied. Students are introduced to the analytical principles and processes involved in data mining. Various software packages, such as XLMiner, NodeXL, and MS-Excel are used with case problems to give the student hands-on experience.
Prerequisite: ASCI2010 or STAT2110
3 Credits

Click "Details" for a course description, instructor information, and a link to the instructor's website, where you can find a syllabus, first class information, and more...Registration Help

 M  Monday
 T  Tuesday
 W  Wednesday
 R  Thursday
 F  Friday
 S  Saturday
 U  Sunday

Schedule Book for All Active and Available Future Terms, Course starting with INFS4220
Page 1 of 1
Credits: 3
Days: ONLINE
Location: Internet/ Online
Room:
Time: -
Instructor: Stewart
Session: 4 (10/24 - 12/18/20)
Term: Fall 2020
Prerequisite: ASCI2010 or STAT2110
Course is taught Fully Online.

Credits: 3
Days: R
Location: Moon
Room: Business School 118
Time: 06:00-10:00 pm
Instructor: Stewart
Session: 3 (08/31 - 10/23/20)
Term: Fall 2020
Prerequisite: ASCI2010 or STAT2110

Credits: 3
Days: R
Location: Moon
Room: Business School 118
Time: 06:00-10:00 pm
Instructor: Davis
Session: 5 (10/26 - 12/18/20)
Term: Fall 2020
Prerequisite: ASCI2010 or STAT2110

Credits: 3
Days: W
Location: Moon
Room: Hale Center 306
Time: 06:00-10:00 pm
Instructor: Stewart
Session: 3 (01/11 - 03/05/21)
Term: Spring 2021
Virtual Rotation: (details)
   
Prerequisite: ASCI2010 or STAT2110

Credits: 3
Days: ONLINE
Location: Internet/ Online
Room:
Time: -
Instructor: Stewart
Session: 2 (01/09 - 03/05/21)
Term: Spring 2021
Prerequisite: ASCI2010 or STAT2110
Course is taught Fully Online.