Feb 19, 2020  
Rensselaer Catalog 2017-2018 
Rensselaer Catalog 2017-2018 [Archived Catalog]

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ITWS 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 then individual analyses or analysis steps.

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

When Offered: Spring term annually.

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

Credit Hours: 3

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