This course introduces students to the principles and practices of data science and their application to the study of technology and society. Through hands-on activities and real-world datasets, students learn how to collect, manage, analyze, visualize, and communicate data using contemporary computational tools. Topics include data acquisition, data wrangling, exploratory data analysis, data visualization, statistical analysis, network data analysis, text analysis, geospatial analysis, introductory machine learning, and AI¿s role in data science. Throughout the course, students examine how data science methods can be used to investigate questions related to technology, innovation, public policy, media, and society.