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University of North Carolina at Charlotte Course Info

Charlotte, North Carolina

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Course Info

Search for courses by clicking on letters of the alphabet or by using a search bar. Explore course description, number of credits required and course sequences to satisfy graduation requirements.


ITCS 3162

Introduction to Data Mining

The key objectives of this course are two-fold: (1) to teach the basic concepts of data mining and (2) to provide extensive hands-on experience in applying the concepts to real-world business applications. Topics include: Data Collection, Data Preprocessing, Data Exploration, Feature Engineering, Prediction Model, Clustering, Association Analysis, Graph/Network Analysis, Text Mining and Social Media Analysis, and Anomaly Detection.

Units: 3.0

Prerequisites:
ITSC 2214 - Data Structures and Algorithms