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DATA MINING FOR BUSINESS
DATA MINING FOR BUSINESS
2020 Spring Term
3 Units
Info Tech & Supply Chain Mgmt 777
This course focuses on the application of data mining for business. Topics covered include mining structured data, techniques for handling big data, working with unstructured data. Emphasis is placed on identifying and applying appropriate mining techniques for specific business problems, and interpreting the validity and utility of the results. Students will use data mining software to gain practical experience.
Other Requirements: PREREQ: MUST BE ADMITTED TO A COBE GRADUATE DEGREE OR DATA ANALYTICS CERTIFICATE PROGRAM
Class Schedule
Disclaimer
- This schedule is informational and does not guarantee availability for registration.
- Sections may be full or not open for registration. Please use WINS if you wish to register for a course.
| Section Details | Meeting Details & Topic | Instructor | Syllabus | ||
|---|---|---|---|---|---|
|
22-LEC 1773
3 Units
|
01/21 - 05/08 (1) |
Alana Platt
|
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| WEB BASED | |||||
| Online graduate courses in COBE will be billed at $637.43 per credit for all students. Students must have access to the Internet and an Internet browser. | |||||
