| |
Sep 19, 2024
|
|
|
|
|
DATN 2373 - Introduction to Predictive Analytics
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.
Learning Outcomes: 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 vailidity of models.
- Interpret results for reporting.
Credit Hour(s): 3
Lecture Hour(s): 32
Lab Hour(s): 32
Prerequisite(s): DATN 2370 & MATH 1342
Add to Portfolio (opens a new window)
|
|
