CAP 5320 - Data Wrangling and Exploratory Data Analysis

Credits: 3

Course Description: Preprocessing tasks often consume a large fraction of time in computational projects, and all downstream analyses depend on them. In this course, students will develop practical skills for working with large datasets. Topics will include common methods for gathering, organizing, and reshaping structured and unstructured data. We will also cover methods of exploratory data analysis that are useful to guide more focused questions and models. These include principles of information display, simple model forms and data reduction, common visualization methods, and reporting tools.
Prerequisites: COP 5090 - Scientific Computation and Programming or an equivalent programming course