DSCI 401 - Data Mining (3).

Institution:

Winthrop University

Subject:

Data Science

Description:

Description: This course will provide a broad overview of data mining concepts, methodologies, implementation techniques, and programming. It will include fundamental topics such as decision trees and random forests, association rule mining, clustering, advanced regression techniques, Bayesian methods, and neural networks. Additional topics may include data cleaning and techniques for text and web mining. Prerequisite: DSCI 201, CSCI 208, and MATH 544. Notes: Offered in fall.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.winthrop.edu

Phone Number:

(803) 323-2211

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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