MKT-869 Machine Learning for Marketing With Python
This course introduces machine learning as a field of inquiry well-suited for facilitating marketing decision-making. Students will use Python-a highly-demanded, open-source, flexible programming language-to build machine learning algorithms that support customer insight generation. Upon completion of this course, students will be able to apply techniques that enable decision makers to perform important marketing tasks, such as predicting customer churn, forecasting customer lifetime value, and building customer segmentation models. No prior programming experience is required for this course.
Prerequisite
Student has satisfied all of the following Academic Unit (Computed) in the selection list Accounting, Accounting and Business Law, Business Administration, Business Administration Executive, Business Analytics, Business Law and Ethics, Entrepreneurship, Finance, Health Administration, Information System, Information Systems and Operations Management, INTO Sawyer Business School, Management and Entrepreneurship, Management Studies, Marketing, Moakley Center for Public Management, Public Administration, Public Administration and Health Administration, Sawyer Business School, Strategy and International Business Or Programs of Study any in the selection list Business Economics Major BSBA