Data Science for Decision Making in Applied and Resource Economics

Catalog description

This course introduces data science and its transformative role in decision-making across business and policy applications in applied and resource economics. Students will learn to analyze and interpret data using R, with hands-on practice in visualization, A/B testing, regression analysis, and machine learning. Designed for beginners, it emphasizes intuitive approaches and practical applications, preparing students to apply data science in real-world contexts.