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OPMA631

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Predictive Analytics in Business

Haskayne School of Business HA - Haskayne School of Business

Subject

OPMA - Operations Management

Description

Application of data-driven predictive models to solve real-life business problems in operations, marketing, finance and other business functions. Techniques covered include decision trees, classification and association rules, and cluster analysis.

Corequisite(s): Management Studies 613.

Antirequisite(s): Credit for Operations Management 631 and 797.13 will not be allowed.

Signature Learning

Research & Creative Scholarship

Course Attributes

Fee Rate Group(Domestic) - F, Fee Rate Group(International) -E, GFC Hours (3-0), Research & Creative Scholarship - Focused

Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.

Component

LEC

Units

3

Repeat for Credit

No

Subject code

OPMA
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