Course: COMP 502. Programming for Data Science and Analytics (3)
Prerequisite: Admission to M.S. in Data Science, or admission to M.S. in Engineering Management, or instructor consent. A study of fundamental concepts and techniques of programming and problem-solving techniques for data science in Python. Topics include Python basics, data visualization in Python, and the use of Python libraries to perform data manipulation and analysis. Does not provide credit toward the Minor in Computer Science, B.S. in Computer Science, M.S. in Computer Science, or M.S. in Software Engineering.