Mar 28, 2024  
2018-2019 Undergraduate Catalog 
    
2018-2019 Undergraduate Catalog [ARCHIVED CATALOG]

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MIS 4470 - Practical Computing for Data Analytics

(3)
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 2410  or STA 2226  and MIS 3050  or MIS 4460  with a minimum grade of (C) in both courses.



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