CIS 605 - Data Analysis and Business Analytics

This course focuses on how to make informed and more expedient business decisions using data. Students will be exposed to advanced analytic techniques commonly employed in organizations of all sizes and structures, such as text analytics, machine learning, predictive analytics, data mining, statistics, and natural language processing. In addition, the synergies associated with analyzing previously untapped data coupled with existing enterprise data will be explored in terms of making sound business decisions. Furthermore, this course will evaluate common sources of big data, the big data life cycle, big data architecture framework, issues pertaining to the security and privacy of big data and how to identify data that is needed to produce the information and knowledge necessary to answer business questions.
Prerequisite(s): CIS 600 is normally taken before this course; however the Program Director may make an exception.
Credits: 3