MIS 447 - Practical Computing for Data Analytics

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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. Data warehousing and 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.
Prerequisite(s): QMM 241 or STA 226 and MIS 305 or MIS 443 with a minimum grade of 2.0 in both courses.