Foundations of Data Science

1.5 Course Unit

This is a gateway course in programming, data analysis, and data science in Python appropriate for all College students. The course will cover a range of topics from basic programming, data manipulation, data visualization, randomness, probability, statistics, predictions, interpreting results, and data ethics. Some advanced topics including time-series and image analysis will also be covered. No prior exposure to programming is assumed. Registration for a separate coding lab section is required. Spring Mutually Exclusive: CIS 1050, ENGL 1670, PHYS 2260, STAT 4770 Prerequisite: MATH 1300 1.5 Course Unit