MIS 4470 - 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. (Formerly MIS 447)
Prerequisite(s): (QMM 241 or QMM 2410) or (STA 226 or STA 2226) and (MIS 305 or MIS 3050) or (MIS 443 or MIS 4460) with a minimum grade of 2.0 in both courses.

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