INFO 3950 - Data Analytics for Information Science

(MQR-AS)

Fall. 3 credits. Student option grading.

Prerequisite: INFO 2950 or equivalent.

P. Ginsparg.

This course will cover intermediate-level applications of data science, with focus on discovery, interpretation, and communication of meaningful patterns in data. Topics will include regression, classification, clustering, and forecasting, with an overview of machine learning algorithms and statistical inference.