MIS 5470 - Practical Computing for Data Analytics

(3 credits)

This course provides hands-on experience necessary to analyze and identify patterns and insights from large business data sets. Programmatic analytical tools such as R, Python and SAS will be introduced. Analytics tasks such as data acquisition, data cleansing, and preparation, analysis and visualization and communication of the results will be emphasized. Students will also be exposed to building, training and testing various machine learning, data mining and statistical models. Cross-listed with MIS 4470, credits cannot be received for both MIS 5470 and MIS 4470. Prerequisite MIS 5240 and QMM 5100 or their equivalents.

Course revisions made after the Graduate Catalog publication date will be posted in the Graduate Catalog Addendum.