Descriptif

This course introduces students to web scraping techniques, covering how to extract data from HTML, navigate both static and dynamic websites, and interact with private and public APIs. Students will also be introduced to key unsupervised and supervised machine learning methods used in econometrics, focusing on dimension reduction and detecting heterogeneity in treatment effects. The course emphasizes hands-on learning, with evaluation based on group projects where students collect data from a website of their choice and analyze the data to answer a question of scientific relevance.