An introduction to the big-data tools—including Machine-Learning techniques—economists increasingly use in applied research. The course explores unstructured data sources such as text files, webpages, social media posts, satellite imagery, and weather data. It offers a practical introduction to creating datasets from these sources (e.g., web scrapping), linking data, and managing and visualizing them (e.g., geospatial visualization).