The critical elements of data storage, data cleaning, and data extractions that ultimately lead to data analysis are presented. Includes basic theory and methods of databases, auditing and querying databases, as well as data management and data preparation using standard large-scale statistical software. Students will gain competency in the skills required in storing, cleaning, and managing data, all of which are required prior to data analysis.
Undergraduate Credit: 3 hours
Graduate Credit: 4 hours
Prerequisite: STAT 400 or STAT 409.
Note: Same as CSE 440.
Course Department: Statistics
Updated: April 7, 2026