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R/S-PLUS: Data Preparation for Data Mining
Schedule
Location Start Date Duration Pre Register
New York 09/16/2010 2 days Pre-Register
San Francisco 09/20/2010 2 days Pre-Register
Houston 09/23/2010 2 days Pre-Register
Banglore 08/02/2010 2 days Pre-Register
Washington, DC 09/13/2010 2 days Pre-Register
R/S-PLUS: Data preparation for Data mining. 
This course introduces programming techniques used by analysts to transform raw data into a form suitable for predictive modeling. This course uses R/S-PLUS programming extensively.
Benefits
bullet Programming techniques to transform raw data into a form suitable for predictive modeling.
bullet Extract and explore relevent data.
bullet Efficiently handling exception and extremes.
Course Topics

Day 1

bullet Overview of Data Preparation Challenges in R/S-PLUS
bullet Raw Data Structures 
bullet Predictive Modeling Data Structures
bullet Extracting Relevant Data 
bullet Accessing Data from Databases

Day 2

bullet Transforming  Data - Relevant  R/S-PLUS  Functions 
bullet Using  Non-Numeric  Data
bullet Efficiently  Managing  Extremes  and  Exeptions 
bullet Using  Fast  Functions. 
Course Format
This course consists of a series of short lectures with demonstrations and interactive sessions for the participants. Each student is provided with bound copies of the notes and a CD-ROM containing all example and exercises used on the course.
Duration and Prerequisites

Duration: 2 days

Before attending this course, you should have some basic understanding of Data Mining. Knowledge of R/S-PLUS programming at introduction level is recommended but not necessary. The following courses teaching for at beginners and intermediate levels.

bullet S-PLUS / R : Programming Essentials
bullet R/S+ Fundamentals and Programming Techniques

Interested in our training? Please email the

Training Department
XLSolutions Corporation
sue@xlsolutions-corp.com
 
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