DATA 32500 - Applied Data Science

Course Credit: 1
Maximum Credit: 0

APPLIED DATA SCIENCE This course takes an experiential approach to the use of statistical and machine learning tools in data-driven problems. Various techniques are introduced in a lab-oriented setting, then applied to complex data sets. Open-ended projects ask students to gain insight and make predictions, but with minimal guidance about how best to do so, requiring students to select and use appropriate tools. Written and oral communication to various audiences is emphasized. The final project, comparable to a Junior I.S., involves deep exploration of a problem of individual interest. Intended primarily for juniors. Prerequisite(s): CSCI-11000 and MATH-11200 [MNS, QL]