Course in Vegas*** R/S+: Fundamentals and Programming Techniques - May 21-22

[elvis@xlsolutions-corp.com]

XLSolutions Corporation is proud to announce our May 2007 R/S:
Fundamentals and Programming Techniques -

 

in Las Vegas - May 21-22, 2007

http://www.xlsolutions-corp.com


This two-day beginner to intermediate R/S-plus course focuses on a broad
spectrum of topics, from reading raw data to a comparison of R and S. We
will learn the essentials of data manipulation, graphical visualization
and R/S-plus programming. We will explore statistical data analysis
tools,including graphics with data sets. How to enhance your plots,
build your own packages (librairies) and connect via ODBC,etc. The
course will give beginners a strong foundation for becoming a versatile
programmer, and will expose experienced users to skills that make a
better programmer.

Ask for group discount and reserve your seat Now - Earlybird Rates.
Please email us for for April-May courses.
Payment due after the class! Email Sue Turner:  sue@xlsolutions-corp.com

(1) R/S System: Advanced Programming - San Francisco, July  2007

This advanced course is designed for people who use R or S-Plus in their
day-to-day work and want to maximize the efficiency of their programs.
Participants will learn in depth advanced programming techniques that
are available in R and S-Plus. This course will improve your general
strategies and extend your programming skills. This two-day course will
introduce participants to many programming techniques and tools. In
addition a special session dedicated to making S-Plus functions more
efficient will focus on "fast objects" and "fast functions". The
advanced programming techniques include object orientation, classes,
inheritance and methods. http://www.xlsolutions-corp.com/Radv.htm

(2) Data Mining: Practical Tools and Techniques in R/Splus - Salt Lake
City, June 2007

This course gives students an understanding of R/Splus tools used to
investigate the main tasks that predictive analytics and exploratory
data mining is usually called upon to accomplish and data preparation
w hich is universally held as the key to successful data mining. We
focus on the most common data mining tasks which are: Description,
Estimation, Prediction, Classification, Clustering, Association and the
need for Dimension Reduction with Principal Components and Factor
Analysis. Analytical methods used in the class include decision trees,
logistic regression, neural networks, link analysis (social networks)
and Kernel-based Methods (SVMs).
http://www.xlsolutions-corp.com/RSMining.htm



Email us for group discounts: sue@xlsolutions-corp.com
Phone:  206 686 1578

Visit us: www.xlsolutions-corp.com/training.htm

Please let us know if you and your colleagues are interested in this
class to take advantage of group discount. Register now to secure your
seat!

Cheers,

Elvis Miller, PhD
Manager Training
XLSolutions Corporation
206 686 1578
www.xlsolutions-corp.com/training.htm
elvis@xlsolutions- corp.com