DS 303 - Discovering Information in Data

(3.00 cr.)

Students use tools for acquiring, cleaning, analyzing, exploring, and visualizing data. This course teaches students how to make data-driven decisions and effectively communicate results. A major component of this course is learning how to use python-based programming tools to apply methods to real-life datasets. Does not fulfill the natural science core requirement. Required for data science majors. Does not count toward the computer science, mathematics, and/or physics minors for data science majors. Closed to students who have taken CS 403 , MA 303 , or PH 303 .

Prerequisite: CS 151 ;EC 220 or EG 381 or PY 292 or ST 210 or ST 265 or ST 381 .
Restrictions: Restricted to data science majors or minors.

Sessions Typically Offered: Fall
Years Typically Offered: Annually

Interdisciplinary Studies: DS/IDS/IEN