STAT 897D - Applied Data Mining and Statistical Learning
Fall 2013, Section 001 - 3.0 Credits
Schedule Number 189238
Important Dates
Reg Period: 3/16/2013 - 9/4/2013
First Day of Class: 8/26/2013
End of Class: 12/13/2013
Ready To Enroll?
Use the Schedule This Course table below to get started.
Contact Us
800-252-3592
814-865-5403 (international)
814-865-0741 (TTY - hearing impaired)
fax: 814-865-3290
e-mail: psuwd@psu.edu
Penn State World Campus
The Pennsylvania State University
128 Outreach Building
University Park PA 16802
Course Description
Data Mining tools are exploring data with regression, PCA, discriminateanalysis, cluster analysis, classification and regression trees (CART).
Prerequisites
There are no prerequisites for the course.
Sample Course Syllabus
You can view a sample course syllabus and a sample lesson for details of lessons and assignments for this course. (Note: this link will open in a new window.)
Costs and Fees
This course will be included in your semester bill.
Remarks
Data Mining methods are introduced by using examples to demonstrate the power of the statistical methods for exploring structure in data sets, discovering patterns in data, making predictions, reducing the dimensionality by PCA for visualization of high dimensional data. Exploratory data analysis, classification methods, clustering methods, and other statistical and algorithmic tools are presented and applied to actual data.
Schedule This Course
| If you are a: | Please: |
|---|---|
| First-time Penn State student | Phone, fax, or mail this form or Contact Us |
| Returning World Campus student (with active Penn State Access Account*) | Schedule via eLion or Contact Us** |
| Returning World Campus student (without active Penn State Access Account*) | Phone, fax, or mail this form |
| Student from a Penn State campus other than World Campus | Contact Us |
* Verify an existing Access Account or request a new Access Account and return it.
**The first day to schedule classes is based on the priority registration process.
Note: For a step-by-step process, see our Schedule a Course page.
Material Requirements
Your course materials are listed below. Textbooks can be acquired from any number of textbook sellers. If you wish, you may purchase your books from the sources listed below. The information displayed is provided pursuant to the U.S. Higher Education Opportunity Act.
| Material Title | Edition | Author | ISBN | Source |
|---|---|---|---|---|
| Elements of Statistical Learning | 2nd | Hastie, Tibshirani, and Friedman | 9780387848570 | MBS |
Technical Requirements
Please test your computer for requirements
Software Requirements
Requires: Students are expected to use Matlab, SAS or R for a moderate amount of programming. The examples in the course use R. Students may use other software they are familiar with but the amount of support that instructors can provide outside of R will vary.
Note: The above information is subject to change at any time by The Pennsylvania State University.