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

This course is typically offered Autumn and Summer quarters.

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).

029 Autumn 2020-21 Online

Pre-register Now

Dates:September 14 - November 20, 2020
Units: 3.00
Instructors: Jonathan Taylor
Delivery Option:
Online
Fees:
For Credit $4,056.00
Notes: Pre-registration Dates: August 10 to September 4, 2020

Pre-registration for this course will secure your enrollment request and ensure timely processing of your application for potential course approval. Please note: course enrollment will be confirmed after September 1, 2020; after completing your pre-registration, no further action is required on your part.

 

This course may not currently be available to learners in some states and territories.