MAT 496 - Introduction to Data Science

This is an introductory course in data science. It will cover three major components in data science: database management, analytics, and communication and visualization. Topics include data manipulation at scale, machine learning and data mining algorithms, statistical modeling, and information visualization. After completing this course, students will be able to work with large datasets and perform predictive analytics using a range of tools. Course projects will cover all phases of producing data products from the raw data.

Prerequisite(s): MAT 281 and MAT 282, or permission of instructor.
Co-requisite(s):
Credits: 3

Meets the Following Core Requirement: Capstone
Course Typically Offered:
Course Type: Mathematics