When presented with large amounts of data, it is important to know what questions to ask and which techniques will best answer them. This course will survey several statistical, computational and algorithmic methods used to analyze data. Students will learn techniques used to manipulate and draw conclusions from real datasets.

OWU Units: 1.00. Crosslisting(s): None. Prerequisite(s): DATA 100 1 , CS 210 , and MATH 105 or MATH 230 . Corequisite(s): None. Antirequisite(s): None. Fee: None. Core Competency: Reason Formally and Quantitatively. Offered: Spring.