Stony Brook University 3 credits EST
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 AIβs 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. 3 credits Prerequisite: C or higher in: AMS 161 or MAT 132 or MAT 127 ; CSE 114 ; U3 or U4 standing
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