IT 682 - Enterprise Analytics

Description:
This course covers the application of data-oriented analysis techniques for business intelligence and organizational decision-making. Students will examine a range of tools to enhance the managerial decision making process such as pivot tables, descriptive statistics, statistical process control for business process improvement, and data models to predict future trends.

Prerequisites:
Co- or prerequisites: ADMG 501 and ADMG 545.

Credits:
(4)

Learner Outcomes:
Upon successful completion of this course, the student will be able to:

Demonstrate an understanding of fundamental statistical terms and concepts.
Identify and apply proper statistical techniques.
Use descriptive measures and tools to describe and summarize sample and population data.
Properly apply probability distributions and theo1y to decision-making.
Properly apply and explain correlation analysis in decision-making.
Properly apply and explain regression analysis in decision-making.

Learner Outcomes Approval Date:
5/17/2012

Anticipated Course Offering Terms and Locations: