New York University 4 credits Applied Data Analytics and Visualization
Data Science is the process of learning from data in order to gain useful predictive insights. This course introduces methods for five key aspects of data science: data munging: cleaning, and sampling; data management; exploratory data analysis; prediction; and communication of results. Prerequisites: (ISMM1-UC 746 OR ISMM1-UC 702 OR MATH1-UC 1172 OR MATH1-UC 1180).
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