BAN 706 - Predictive Modeling & Data Mining

(3 units)

This course focuses on predictive analytics, which predicts outcomes and future trends from existing data to help discover new relationships. Prediction helps decision makers evaluate possible future outcomes and define new predictors.

Prerequisite(s): BAN 701.

Grading Basis: Graded
Units of Lecture: 3
Offered: Every Summer

Student Learning Outcomes
Upon completion of this course, students will be able to:
1. apply predictive analytic methods to identify new trends and patterns, uncover relationships, create forecasts, predict likelihoods, and test predictive hypotheses.
2. use quantitative and classification predictive model.
3. use popular tools and software used in industry for predictive analytics, especially R, R Studio and R Markdown.
4. formulate predictive analytics questions.
5. search, identify, gather and pre-process data for the analysis.
6. evaluate the soundness, appropriateness and validity of their models and how to interpret and report on results for a management audience.

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