DSCI 4780 - Fundamentals of Data Science

4 Credit Hours
Prerequisites: DSCI 2720 with a C or higher. Students must meet the Data Science major eligibility requirement to be able to register for the class.
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.