DATN 2373 - INTRODUCTION TO PREDICTIVE ANALYSIS

Introduction to predictive analysis, including research methods and modeling: the basics of research design, operationalization and measurement, statistical analysis, and reporting.  Topics may adapt to changes in industry practices.

Upon successful completion, students will be able to:

• Develop predictive model from a research question

• Identify data sources appropriate for research questions

• Test research questions using hypothesis testing

• Identify appropriate statistical test based on research question and selected data

• Calculate reliability 

• Assess validity of models 

• Interpret results for reporting

Grade Basis: L 

Credit hours: 3.0

Lecture hours: 32.0

Lab hours: 32.0

Prerequisites: 

DATN 2370 - ANALYTICAL TOOLS & METHODS

MATH 1342 - ELEMENTARY STATISTICAL METHODS