This course will provide students with foundations in various modeling methodologies commonly used in marketing, including Attribution Modeling, Marketing Mix Modeling (MMM), and other advanced techniques such as Bayesian methods. Through a combination of theoretical lectures, hands-on practical exercises, and real-world case studies, students will develop the skills necessary to analyze marketing data, derive actionable insights, and make data-driven decisions to optimize marketing strategies.

Temps présentiel : 37.5 heures

Charge de travail étudiant : 87.5 heures

Méthode(s) d'évaluation : Projets