IS 2489 - Predictive Analytics

Institution:

University of Utah

Subject:

Information Systems

Description:

Predictive analytics is an essential business tool for anyone who needs to use historical data to predict future outcomes and probabilities. Applications include risk analysis, predicted health outcomes, crime prevention, sentiment analysis, customer recommendations and much more. For students of any major, this course will help you understand what predictive analytics is and how it applies to your chosen field. We will break down real world applications; introduce predictive techniques including Decisions Trees, Regression Analysis, and Machine Learning; get hands on with predictive software tools; show you how to find the most interesting and impactful problems to solve; and understand important legal and ethical issues. The course culminates in a detailed plan to implement a Predictive Analytics application in your field of interest. Prerequisites: Member of the CBKI student group.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.utah.edu

Phone Number:

(801) 581-7200

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Semester

General Education

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