MATH 4400 - Statistical Analysis of Big and Small Data

Credits: (3)
Description: This course combines and develops the knowledge and skills used in big and small data using both theory and application. The course deals with methods to analyze data with varying volume, velocity, and variety and their associated challenges. Topics such as data mining, predictive analytics, heteroskedasticity of data, and data visualization will be explored.
Pre-requisite(s): MATH 3410 or (MATH 1220 and MATH 1040).
Pre-requisite/Co-requisite: CS 1400 or CS 2550.
Note: This course is offered as needed.