IS 407

spring 2025

All Classes

Introduction to Data Science

Credit: 4 hours.

This course introduces students to data science approaches that have emerged from recent advances in programming and computing technology. They will learn to collect and use data from a variety of sources, including the web, in a modern statistical inference and visualization paradigm. The course will be based in the programming language R, but will also use HTML, regular expressions, basic unix tools, XML, and SQL. Supervised and unsupervised statistical learning techniques made possible by recent advances in computing power will also be covered.

4 undergraduate hours. 4 graduate hours.

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Detail	Status		CRN	Type	Section	Time	Day	Location	Instructor