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Courses


Date: 7 Jun 2005
Subject: S-PLUS7: Working w/ BigData + Functional Data Analysis courses

Upcoming courses from Insightful:

D101: Data Mining with Insightful Miner
July 14-15, 2005 - San Francisco, CA

This two-day course covers both data mining practice and the execution of concrete problems with the Insightful Miner tool. These two threads are interwoven throughout the course. All examples and exercises are delivered on a course CD.


C210: S-PLUS 7 Working with Big Data
August 24-25, 2005 - New York, NY

C210: S-PLUS 7 Working with Big Data
August 29-30, 2005 - San Francisco, CA

S-PLUS 7 Working with Big Data is a hands-on training course for users who are familiar with S-PLUS scripting including manipulation and summarization of S-PLUS objects, creation of graphics and computing basic statistical summaries using the command line. This course provides thorough instruction in applying various data-analytic techniques to big out-of-memory data sets.

Commercial: $1600
Government: $1450
Academic : $1300


Newly added courses!

Functional Data Analysis with S-PLUS FDA
Presented by Jim Ramsay
September 15-16, 2005 - Toronto, Canada

Functional Data Analysis with S-PLUS FDA
Presented by Jim Ramsay
September 26-27, 2005 - Kirkland, WA

This two-day course introduces the concepts of functional data analysis, or FDA, through a series of case studies. Functional data are observations that are logically modeled directly as smooth curves, or that require the estimation functional parameters.

The course will involve interactive sessions to provide FDA experience.

Commercial: $995
Government: $895
Academic : $795


To view a complete 2005 Training Schedule please visit:
http://www.insightful.com/services/schedule.asp

*For all upcoming Life Sciences Events:
http://www.insightful.com/news_events/lifesciences05/

Please email all training related questions to: training@insightful.com

Learn more about how Insightful software and services can help you at http://www.insightful.com


KDnuggets : News : 2005 : n12 : item6 < PREVIOUS | NEXT >

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