DSCI 330 - Big Data Analysis

Institution:

Lander University

Subject:

Description:

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

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.lander.edu

Phone Number:

(864) 388-8000

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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