DS 501 - FUNDAMENTALS OF DATA SCIENCE

Stanley and Karen Pigman College of Engineering

Credits: 3

This course introduces fundamental concepts of data science from an applied, software development perspective. The focus is on understanding the basic challenges of data science, on using tools and developing software to overcome these challenges, and on understanding how data science techniques can integrate into various application domains. Topics will include defining common data science tasks, data formats, and software tools; loading, pre-processing, and visualizing datasets; creating efficient software implementations; creating and evaluating machine learning models; and the ethical implications of data science.

Prerequisite(s):
Prereq: CS 215, STA 281, or consent of instructor.