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Bearcat Web - Lander University

 

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Detailed Course Information

 

Fall 2021
Apr 19, 2024
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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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