COMM 414 – Data Visualization and Business Analytics

Business professionals must have familiarity with and skills in each of descriptive, predictive and prescriptive analytics. Descriptive analytics includes data analysis and data visualization: understanding, manipulating, evaluating and presenting the many complex data and information streams that drive today’s businesses and organizations. Predictive analytics includes forecasting, various statistical techniques, data mining, and machine learning; taking the analysis of the present to generate likely scenarios of the impact of doing things differently or of future trends. Prescriptive analytics involves the employment of a number of analytical models to aid decision making: included but not limited to would be optimization, Monte Carlo simulation, decision trees and discrete event simulation.

For students not in the Operations and Logistics option
The increasing use of  business analytics throughout business suggests that non-OpLog option students might wish to improve their exposure to business analytics by adding this course to their degree program. A course goal is to also be accessible to such students. For example, the analytics areas mentioned above would be of interest to many students seeking a career in finance, marketing, or consulting.

Learning objectives

Upon successful completion of this course, students will be able to:

  • undertake a wide range of business analytics projects. 
  • use primary data sources for analysis.
  • evaluate and advise upon analyses prepared by others, such as consultants. 

Prerequisite: One of COMM 204, COMM 399.

Course credits:
3

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