Sign up for our awesome New York Tech Events weekly email newsletter.     LOCATION EVENT DETAILS In this course, students learn how data science is done in the wild, with a focus on data acquisition, cleaning, & aggregation, exploratory data analysis & visualization, feature engineering, & model creation & validation. Students use the Python scientific stack to work through real-world examples that illustrate these concepts. Concurrently, students learn some of the statistical & mathematical foundations that power the data-scientific approach to problem solving.