Select the Course Number to get further detail on the course. Select Schedule Type to find available sections of the course as well as section specific prerequisites. Prerequisites listed in the catalog descriptions are recommended and may not be the same as registration prerequisites in PipelineMT. Use the Look Up Classes link for a grid display of important course information as well as prerequisites and memo notes about the section. |
DATA 3500 - Data Cleansing and Feature Engineering |
Prerequisite: CSCI 1170. Techniques and applications used to collect and integrate data, inspect the data for errors, visualize and summarize the data, clean the data, and prepare the data for modeling for various data types.
3.000 Credit hours Levels: Undergraduate Schedule Types: Lecture Basic and Applied Sciences Department Course Attributes: College of Basic & Applied, Credit from 4-Year College, Upper-Division Work |