AI for Marketing Analytics courses
AI is changing how marketers understand customers/markets, evaluate campaigns, and make marketing decisions. This course goes beyond surface-level AI tool use. Students learn how AI systems learn from data, how to judge whether a model is reliable, and how to apply AI methods to real marketing data and problems.
Why study AI for Marketing Analytics
Understand the core mechanisms that drive AI and what happens beneath tools such as ChatGPT.
Use Python on applied marketing analytics tasks and develop the judgement to work confidently with AI and data - capabilities increasingly valued in marketing and analytics roles.
What students will learn
Learn core supervised-learning methods, including linear and logistic regression, decision trees and random forests.
Assess model reliability using training, validation and test data; performance metrics; and the ideas of underfitting and overfitting.
Explore neural networks, large language models, and AI agents.
Apply AI methods and ideas to real marketing data and problems such as consumer churn prediction, understanding consumer features, customer segmentation, and sales prediction.
Discover our AI for Marketing Analytics courses