Introduction to Business Analytics

Course No: BUS 348

Course Title: Introduction to Business Analytics

Credits:  3


Catalog Description

This course will examine how data analytics (big data) informs business decisions and processes. Students will acquire an understanding of the terminology, concepts and potential tools and solutions of data analytics. Regression methods including linear, non-linear, and Bayesian will be discussed. Emphasis will be placed on the retrieval, cleaning, and manipulation of data, and the process for identifying the relevant data elements for a given audience. Prerequisites: MTH 126.


Learning outcomes

At the completion of this course, students will be able to:

  • Demonstrate a broad understanding of business analytics and its applicability to various industries.
  • Define and apply “Big Data” and other terminology that is used in the marketplace today.
  • Execute Data Mining techniques.
  • Utilize quantitative reasoning skills such as inductive vs deductive reasoning.
  • Work with basic tools for descriptive analytics, e.g., Excel, as well as advanced tools visualization techniques.



Required Readings

  • Sharda, R., Delen, D., & King, D. (2013) Business Intelligence: A Managerial Approach, 3rd Edition. Prentice Hall, ISBN: 978-0133051056.