MKT-870 Advanced Marketing Analytics With R
This course in marketing analytics using R is designed to equip participants with the necessary tools to excel in the marketing sector. It begins by establishing a strong foundation in statistical concepts tailored for marketing, followed by practical applications of R in analyzing real-world data. Participants will delve into advanced data analysis techniques such as logistic regression, customer segmentation, and machine learning algorithms including Naive Bayes and Random Forest. The course also emphasizes the importance of data visualization, teaching methods to transform complex data sets into compelling marketing narratives. Additionally, the integration of generative AI enhances the analytical process, enabling the development of precise and impactful marketing strategies in a competitive job market
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