CSC 4780 - Fundamentals of Data Science

4 Credit Hours

Pre/Corequisites: Prerequisite: CSc 2720 with a C or better. Students must meet the Computer Science Major Eligibility Requirement in order to enroll in this course.
Description
Introduction to the fundamental concepts of predictive data science for tabular data with qualitative and quantitative scales. Topics include: data exploration, pre-processing and visualization; analytics base table (ABT) generation; basic supervised learning algorithms (i.e. information-based learning, similarity-based learning, and error-based learning), and comparative evaluation of these algorithms.