Training on


Multivariate Data Analysis

March 27-29, 2012 | Woodbridge, NJ, United States


Course Overview

This course is a comprehensive and ideal course for anyone seeking an introduction to multivariate data analysis or improvement in their skills to the intermediate level. It covers major topics in multivariate data analysis with an emphasis on data visualization and interpretation.

The main objectives of this course are:

  • Providing a comprehensive course to brush up basic skills as well as to move up to intermediate expertise
  • Providing experiences with real-world industry applications and MVDA related problems
  • Carefully selected exercises and application examples providing hands-on experience to solidify the learned theory
  • Interpreting complex data quickly and confidently using the most modern multivariate techniques (includes non-mathematical approach)
  • Developing and enhancing skills with model diagnostics and model optimization
  • Preview of real time Unscrambler tools for process monitoring and control

Who should participate in this program?

'The World is Multivariate' and as a result MVDA of complex data sets is practiced in almost all types of manufacturing sectors and research based institution. Scientists, engineers, statisticians, spectroscopists, chemometricians and others involved in the following disciplines or functions will benefit from MVDA training:

  • Involved with Pharmaceutical, Food & Beverages, Chemical and Energy (Oil & Gas), manufacturing and R&D center
  • Product Development: People involved with formulations, sensory analysis, market research, Analytical R&D, Process R&D
  • Process Optimization: People involved with optimizing manufacturing process by measuring and controlling critical parameters
  • QA, QC: People involved with measuring and controlling quality of product
No prior knowledge of The Unscrambler® is required to attend our courses.

Course Details

  • Introduction to multivariate data modeling
  • Relevant data collection
  • Organizing and visualizing data in preparation for analysis
  • Principles and applications of Principal Component Analysis (PCA)
  • Multivariate regression: Multilinear Regression (MLR), Principal Component Regression (PCR), Partial Least Squares (PLS) Regression
  • Data transformations and scaling
  • Detecting and dealing with outliers
  • Calibration
  • Validation
  • Prediction
  • Classification: SIMCA and PLS-DA
  • Basic rules for successful data analysis

Course Fees:

$ 1850


/ Participant


Woodbridge, NJ

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Day 1 : 10:00 - 17:00
Day 2 : 09:00 - 17:00
Day 3 : 09:00 - 17:00


John Chartier
Senior Account Manager
Phone: 732-726 9201
Fax: 973-556-1229

Course Instructor

  Dr. Katherine Bakeev

Dr. Katherine Bakeev

Katherine graduated from Case Western Reserve University, followed with a Ph.D., Polymer Science and Engineering, University of Massachusetts, Amherst. She was awarded her masters in Technology Management from Stevens Institute of Technology.

Katherine's expertise is in the development and implementation of spectroscopic solutions for on-line measurement in manufacturing (PAT, near-infrared, FTIR, Raman and UV-vis spectroscopy) for various industries. Katherine's knowledge and experience includes pharmaceutical drug development, chemical development processes and manufacturing. Much of her work has involved the development and implementation of real-time monitoring applications for manufacturing.


General Terms

  • The course fee includes tea / coffee, course material and 30-days trial installation of
    The Unscrambler®.
  • The number of seats for the course is limited.
  • Participants are required to bring their own laptop, organize transport to / from training venue and accommodation at their own cost. Feel free to contact the account manager for assistance.
  • Deadline for registrations: 2 weeks before the course start.
Payments: Credit Card / Purchase Order / Check.
Cancellations up to 1 week prior the course start date, will be refunded with 50% of the registration fee. After this limit, registration fee will not be refunded.
The course participants may be substituted or join a later training provided that CAMO is notified.
CAMO Software Inc
One Woodbridge Center
Suite 319
Woodbridge, New Jersey
United States 07095