Data Mining and Analysis

Course Description

Data mining is used to discover patterns and relationships in data. Emphasis is on large complex data sets such as those in very large databases or through web mining. Topics: decision trees, association rules, clustering, case based methods, and data visualization.

Course Details

  • Grading Basis: Letter Grade or Credit/No Credit
  • Intensive Studies: This course is offered as part of the Data Science Intensive. See the Intensive Studies page for more information on how to receive an official Document of Completion.

Prerequisites

Introductory courses in statistics or probability (e.g. STATS 60), familiarity with linear algebra (e.g. MATH 51), and computer programming (e.g. CS 105)

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