DAT 320 - Data Analytics II

Credit(s) 3.00
Lecture Hours: 3.00
Through this course, students will learn the fundamental concepts of data mining with extensive hands-on experience in applying the concepts to real-world applications. Students will have an in-depth knowledge of the following statistics principles: Introduction to data mining, Data and Preprocessing, Classification, Clustering, Association Analysis, Anomaly Detection, and Data Mining Case Studies.

Prerequisite(s): DAT 310