IT 682 - Enterprise Analytics

Description:
The application of data-oriented analysis techniques for business intelligence and organizational decision-making; tools to enhance the decision-making process such as pivot tables, descriptive statistics, statistical process control for business process improvement, and predictive data models.

Prerequisites:
Co- or prerequisite: ADMG 501 or admission to an IT Management Department Graduate Certificate Program.

Credits: (4) Contact Hours: 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, and
properly apply and explain regression analysis in decision-making.

Learner Outcomes Approval Date:
5/17/2012

Anticipated Course Offering Terms and Locations: