CIS 2320 - Descriptive and Predictive Analytics

Credits: 3

Prerequisite(s): MTH 1310 or MTH 1110 or MTH 1410 C- or better; CIS 2010

Description: The course is designed to provide students with an introduction to the fundamentals of descriptive and predictive analytics within the context of statistics for business. Through a combination of lectures, discussions, and practical exercises, students develop a solid understanding of the key statistical concepts and techniques used in various business situations.

The course covers a wide range of topics including data collection, organization, analysis, and interpretation using descriptive and inferential statistics. Students learn how to use statistical techniques such as probability theory, confidence intervals, hypothesis testing and regression analysis to make informed business decisions. Emphasis is placed on developing the skills necessary to apply statistical methods in a practical context - using manual and software calculations - including the ability to analyze real-world data sets and effectively communicate findings to stakeholders. By the end of the course, students should be able to use statistical techniques to solve complex business problems and make data-driven decisions.