Introduction to Statistical Models

Catalog description

This course offers Data Science students an introduction to the basic statistical models for data science. It covers the descriptive statistics, common discrete and continuous distribution models. Emphasis is on utilizing these statistical models in making inference on parameter estimation and hypothesis testing for Data Science. Lecture Hours: 3 Lab Hours: 0 Other Hours: 0 Contact Hours: 0 Repeatability: May not be repeated for credit. Grade Mode: Normal (A, B, C, D, F) Major Restrictions: DASC Data Science Degree Restrictions: MS Master of Science with a Major in Data Science Campus Restrictions: AU Online Schedule Type (Primary): Lecture Schedule Type (Additional): Asynchronous Instruction Click here for the Schedule of Classes.