Data Mining and Analysis

STATS202

Stanford School of Humanities and Sciences


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Description

Data mining is a powerful tool used to discover patterns and relationships in data. Learn how to apply data mining principles to the dissection of large complex data sets, including those in very large databases or through web mining. Explore, analyze and leverage data and turn it into valuable, actionable information for your company.

Limited enrollment! Due to the limited space in this course, interested students should enroll as soon as possible.

Prerequisites

Introductory courses in statistics or probability (STATS60 or equivalent), linear algebra (MATH51 or equivalent), and computer programming (CS105 or equivalent)

Topics include

  • Decision trees
  • Association rules
  • Clustering
  • Case-based methods
  • Data visualization

Note on Course Availability

The course schedule is displayed for planning purposes – courses can be modified, changed, or cancelled. Course availability will be considered finalized on the first day of open enrollment. For quarterly enrollment dates, please refer to our graduate certificate homepage.

Notes

Technology Requirements

To complete homework assignments you will need Internet access, excel and the R statistical software package (free download).

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