Jul 06, 2020  
Rensselaer Catalog 2019-2020 
    
Rensselaer Catalog 2019-2020
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CSCI 4600 - Data Analytics


The world at-large is confronted with increasingly larger and complex sets of structured/unstructured information; from cyber and human sources. Traditional enterprises are moving toward analytics-driven approaches for core business functions. Data and information analytics extends analysis (descriptive models of data) by using data mining and machine learning methods, with optimization and validation, to recommend action or guide and communicate decision-making. Thus, analytics is an entire methodology rather than individual analyses or analysis steps.

Prerequisites/Corequisites: Prerequisite: CSCI/ERTH/ITWS 4350/6350 or permission of instructor.

When Offered: Spring terms annually.



Cross Listed: ITWS 4600/6600. Students can only obtain credit for one of these courses.

Credit Hours: 3



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