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Data Mining and Analysis

STATS202


Online


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.

Topics Include

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

Instructors

Rajan Patel, Instructor

Grading

  • Homework
  • Midterm
  • Final
  • Optional Class Project

Technology Requirements

For the midterm and final, you will need a basic calculator which has logarithm functionality. To complete homework assignments you will need Internet access, excel and the R statistical software package (free download).

Units

3.0

Prerequisites

Some familiarity with linear algebra and statistical methods

Course Preview

We highly recommend watching the course preview to ensure you have the requisite background and understand the scope of material covered.

Tuition & Fees

For course tuition, reduced tuition (SCPD member companies and United States Armed forces), and fees, please click Tuition & Fees.

 

Enrollment Options

Select a location, then click course number/date to view details.

STATS202 - 015 Spring 2013-14 Canceled

Request Information

Day Date Time Location
Mon, Wed   Jun 23 to Aug 18, 2014 4:15PM to 5:30PM PT Online

Non Degree Option
Note: Enrolling in this course for credit under the Non Degree Option requires an approved application. If you do not already have an approved application on record, the application will be presented to you as part of the checkout process. If your application is denied, tuition and fees for the course will be refunded.

Textbooks/Course Materials
Students enrolled in a graduate course for credit are required to complete homework assignments, projects, and take exams as required of all students during the 10-week quarter. Information regarding textbooks and materials is usually covered in the first lecture and may also be found on the course Web site.

Units: 3

Tuition Option(s):
For Credit (member) $3,360.00 ?
For Credit $3,960.00 ?
Audit (member) $995.00 ?
Audit $1,150.00 ?

STATS202 - 016 Summer 2013-14 Available

Enroll in this Section

Day Date Time Location
Mon, Wed   Jun 23 to Aug 18, 2014 4:15PM to 5:30PM PT Online

Non Degree Option
Note: Enrolling in this course for credit under the Non Degree Option requires an approved application. If you do not already have an approved application on record, the application will be presented to you as part of the checkout process. If your application is denied, tuition and fees for the course will be refunded.

Textbooks/Course Materials
Students enrolled in a graduate course for credit are required to complete homework assignments, projects, and take exams as required of all students during the 10-week quarter. Information regarding textbooks and materials is usually covered in the first lecture and may also be found on the course Web site.

Units: 3

Instructor(s):
Rajan Patel

Tuition Option(s):
For Credit (member) $3,360.00 ?
For Credit $3,960.00 ?
Audit (member) $995.00 ?
Audit $1,150.00 ?