STAT 315 - Exploring and Analyzing Data

Units: 3
Foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. Introduction to statistical programming and statistical inference with hands-on analysis of real-world datasets, including economic data, document collections, and social networks. Lecture Units: 2; Activity Units: 1

Prerequisites: Completion of GE area B4.
Possible Instructional Methods: Entirely On-ground.
Grading: A-F or CR/NC (student choice).
Course Typically Offered: Spring ONLY