Big Data and Analytics

Catalog description

Introduction to the concepts and techniques of big data and analytics. Students learn about big data technologies, data storage, processing frameworks, and analytics techniques used to handle and analyze large datasets. Prerequisite(s): ( CSCI 3400 >=C or DASC 3400 >=C) and MATH 4251 >=C Lecture Hours: 3 Repeatability: May not be repeated for credit. Grade Mode: N- Normal (A, B, C, D, F) Schedule Type (Primary): Lecture Schedule Type (Additional): Asynchronous Instruction Click here for the Schedule of Classes.