DSA 5100 - Data Exploration

Credits: 4

Formerly: BUA5112G and DSE5113G
This course introduces students to the fundamentals of statistical learning, framed within the confines of exploratory data analyses. Students will learn common strategies and techniques used in extracting valid and reliable insights out of available data, all framed within the combination of theoretical ‘why’ and experiential ‘how’ competencies. Building on the foundation acquired in Foundations of Data Management and Foundations of Statistical Analysis courses, the Data Exploration course immerses students in basics of statistical significance testing and story-telling focused on identification of meaningful data patterns and associations. Prerequisite: Grade of B or higher in DSA5020, Foundations of Statistical Analysis.

Prerequisite(s): Grade of B or higher in DSA 5020