DATA 3464 - Foundations of Data Processing

Credit(s): 3
Lecture Hour(s): 3
Tutorial Hour(s): 1

This course introduces techniques for ethically and responsibly wrangling and manipulating datasets to make them appropriate for addressing the question at hand. Topics may include cleaning and transforming data, integrity and quality measures, common file formats, feature selection and engineering, and generating features from unstructured sources such as text and images.

Prerequisite(s): DATA 2402 and MATH 2444, each with a minimum grade of C-.
Recommended Preparation: DATA 3463