COS 200 Data Science

A study of the nature and application of data processing. The physical representation of data, the primary structured models used in organizing, and the factors involved in implementing and using a data model are covered. Students will also learn techniques for obtaining, cleaning, exploring, analyzing, visualizing and presenting data to solve real-world problems and drive data-driven decision making. Statistical methods and quantitative techniques and algorithms will be explored. This course requires a student laptop - see Department Laptop Policy . Prerequisite(s): PHI 357  and COS 150  or permission of the instructor. 3 hour(s).