ANLY 6500 - Advanced Data Analytics

Institution:

Southern Utah University

Subject:

Business Analytics

Description:

This course provides an overview of advanced machine learning, data mining and data analytics applications. The main topics of the course can be organized as follows: Anomaly and Outlier Detection, Categorical and Regression Trees (CART), Time-series, K-Nearest Neighbors (KNN), Artificial Neural Networks (ANN), Gradient Boosting (GB), Random Forests (RF), Cluster Analysis, Support Vector Machines (SVM). (Fall - 2nd Session) [Graded (Standard Letter)] Prerequisite(s): ANLY 6110 Prerequisite Min Grade: C Registration Restriction(s): Masters of Science in Business Analytics

Credits:

3.00

Credit Hours:

Prerequisites:

ANLY 6110

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.suu.edu/

Phone Number:

(435) 586-7700

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Semester

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