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DSCI 330 - Big Data Analysis |
This course covers advanced tools for big data analysis including unstructured databases and data management platforms. It provides an overview of the architectural components and programming models used for scalable big data analysis. Students will identify and examine real world big data problems and recast these in ways that can be addressed with data science methods. Prerequisites: DSCI 230 and CIS 360. Three credit hours
3.000 Credit hours 3.000 Lecture hours Levels: Second Degree, Undergraduate Schedule Types: Lecture Math & Computing Department |
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