DATA 772 - Statistical Methods for Data Analytics

3 Credits
This course covers statistical procedures used in data analytics with emphasis on hands-on practice. Industry standard software is used to import and prepare data for model development as well as for developing various types of regression models. Assessment of model performance and methods for model selection are also covered. Emphasis is also placed on parameter estimation, variable selection, and diagnostic checking of these models and their use for statistical inference and prediction. Both numerical and graphical techniques are used for diagnostics and reporting.

Prerequisite(s): DATA 710
Course Learning Outcomes:
1. Create graphical representations of data.
2. Develop statistical models using industry standard software.
3. Conduct Principal Component Analysis.
4. Perform hypothesis testing.
5. Contrast competing models using statistical tests and graphical diagnostics.
6. Propose a model for addressing a given problem.