Introduction to Data Science

Catalog description

This course is intended to provide an introduction to the field of Data Science. Students will develop skills in appropriate technology and basic statistical methods by completing hands-on projects focused on real-world data and addressing the social consequences of data analysis and application. Prerequisite(s): MATH 1001 >= D or MATH 1111 >= D or MATH 1113 >= D or MATH 2011 >= D or MATH 2011H >= D Core IMPACTS Requirement(s) Satisfied: Technology, Mathematics, and Sciences (STEM) Lecture Hours: 3 Repeatability: May not be repeated for credit. Grade Mode: Normal, Audit Schedule Type (Primary): Lecture Schedule Type (Additional): Asynchronous Instruction Click here for the Schedule of Classes.