Data Science and Analytics

3 Credits · Level: Graduate, Undergraduate

This course introduces students to several core data science concepts. It teaches students how to synthesize disparate, possibly unstructured data to better understand and characterize the world, and to draw meaningful inferences especially related to policy. Topics covered include: the history of data science, successes and failures in data analytics, the data analytics life cycle, data/web scraping, and data characterization. Previous coding experience in the R language is not required.