The course empowers students to improve the social impact of data-driven analysis. Students explore human experiences shaped by algorithms, machine learning, and artificial intelligence while learning how to systematically collect, share, analyze, visualize, and interpret data. The course provides historical background on issues of data privacy, digital exclusion, and online discrimination. Building both quantitative reasoning and critical thinking skills, the course is designed for students either in the sciences or humanities. No statistics prerequisite.