Operations & Info Management 240 - Business Data Analysis

This course introduces fundamental concepts and computations for statistical analysis of business data and real-world problems with an emphasis on understanding and interpreting statistical information, and using it to form sound judgments in business situations. The course covers basic descriptive statistical methods, sampling methodology, how to draw inferences from samples to larger populations and how to make predictions based upon historical relationships between variables. Theoretical background in descriptive and inferential statistical methods will be used support knowledge of the appropriate statistical test to perform in a given situation. The statistical methods that are covered in the course equip the student with the analytic reasoning and quantitative arguments that applies to all areas of business and management.

Isenberg BBA students OIM majors and Isenberg majors should monitor the course via SPIRE for seat availability. If you add yourself to the SPIRE waitlist, please ensure you do not enroll in a course that conflicts with this course.