Discrete Choice Analysis: Predicting Individual Behavior and Marketing Demand

Discrete choice models are essential tools for analyzing individual behavior across industries—from marketing and transportation to environmental management and online personalization. Master the skills to apply these models in real-world contexts through our dynamic, hands-on course.

Through interactive lectures and practical lab sessions, you will:

• Explore core models, including logit, nested logit, probit, and hybrid choice models
• Learn techniques for data collection, model specification, estimation, and forecasting
• Apply methods to real-world cases—from travel mode and product selection to online ads and recommendation systems
• Gain experience using discrete choice software and real datasets in guided lab sessions
• Deepen your understanding of advanced topics such as Bayesian estimation, simulation, and latent variable integration

Use the discount code mtlc10 for 10% off any course at the time of registration.