Business Data Analysis
OIM
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.
Course Details
Fall 2024
This class is non-credit
Course Notes
OIM majors and non-OIM Isenberg majors should monitor the course via Spire for seat availability. Students who add themselves to the Spire waitlist should ensure they do not enroll in a course that conflicts with this course or are enrolled in a max number of credits. Please note that for all OIM courses, the Department utilizes the Spire waitlist. The Registrar will stop promoting students on the Spire waitlist about one week prior to the beginning of classes. Once the Spire waitlist is no longer functional, you will need to monitor the class and self-enroll if a seat becomes available.