ISC 420 DATA MINING AND ANALYTICS

This course provides an introduction to the concepts of data analysis and data mining using descriptive statistics, SQL, machine learning and digital visualization techniques. Students will be introduced to the many steps in the data mining process including: collection, cleaning, aggregation, transformation, mining and analysis, evaluation, presentation. Analysis techniques include: decision trees, clustering, Bayesian classifiers, text and sentiment mining, association rules, social network analysis.

Credits

4 sh

Prerequisite

ISC 301, STS 212

Course Types

Science; Advanced Studies

Offered

Offered fall.

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