DS 3010Data Science III: Computational Methods

Catalog

Units 1/3. This course covers a broad range of computational methods to make informed decisions on large and/or high-dimensional data sets following the data science pipeline. Core topics include collecting data via APIs, processing and managing large-scale data, cloud computing, and applying machine learning and deep learning toolkits to extract insights. The goal is to aid decision-making in different domains. Students will learn these skills by working on projects using real-world data sets. Recommended Background Data science basics equivalent to DS 1010, and data analysis principles and modeling equivalent to DS 2010, knowledge of basic statistics equivalent to (MA 2611 and MA 2612), and the ability to program equivalent to (CS 1004 or CS 1101 or CS 1102) and (CS 2102, CS 2103 or CS 2119), as well as understanding of databases equivalent to (CS 3431 or MIS 3720) are assumed.