3 credits
Fall 2026 Lecture Upper Division
Marketing is increasingly evolving from traditional approaches to leveraging big data and artificial intelligence (AI) to make strategic decisions and drive impactful campaigns. This course offers an immersive exploration into the intersection of data science, artificial intelligence, and marketing strategies, providing students with the knowledge and skills to thrive in the digital era. It will discuss uses of data science tools and AI algorithms in marketing applications, such as personalized marketing, sentiment analysis, and ad campaign optimization. Students will also gain hands-on experience on applying the methods to real-world data.
Learning Outcomes1Identify modern statistical & machine learning methods required for marketing using big data.
2Carry out applying statistical and machine learning methods to improve major marketing decisions.
3Implement statistical and machine learning methods in Python using real-world data.
Prerequisites
Restrictions
made by Purdue students.