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Instructor Led Process Optimization Training Classes

Process Optimization Training Seminars and Classes
From Business Industrial Network
Six Sigma DOE Training Workshop instructor led traininggroup study and discussionworkshop / seminar Attend this 4-day Design of Experiment (DOE) skill-building hands-on application workshop. Learn how to guide your project team with the proven skills they need to design-in quality in product and process and tackle the technical problems on the production floor.(2.4 CEU) This course and other DOE related courses have been restructured. Please see company website for the latest info.  more...
From Camo Process AS
Multivariate Data Analysis MVA and Design of Experiments DoE Level-1 Bangalore July 21-23 2008 instructor led trainingon-line e-learning cbt (computer based)coursewarebookworkshop / seminar Multivariate Analysis Level - 1 -------------------------------- * The world is multivariate Introduction to multivariate data modelling * When are multivariate methods useful? * Principal Component Analysis (PCA) * Multivariate regression: => MLR- Multi Linear Regression => PCR- Principal Component Regression => PLS- Partial Least Squares * Relevant data collection * Multivariate  more...
Advanced Multivariate Data Analysis with Chemometrics & Spectroscopic Applications - Level 2 (in Japanese) instructor led trainingon-line e-learning cbt (computer based)coursewarecomputer labJapanese The courses have been designed for individuals: - Having Level 1 knowledge of Multivariate Analysis - Involved in consumer insights, R&D, product development, process optimization, quality control & monitoring. - Working or likely to work with spectroscopic instruments (NIR, FTIR, UV, UV/VIS, NMR, DAS, Raman, Mass Spectroscopy), chromatography instruments (LC, CE, GC, HPLC), and other  more...
From Camo Inc.
Monimuuttujamenetelm t 1 (Multivariate Data Analysis - Finnish Course) instructor led traininggroup study and discussionworkshop / seminar ... Involved in consumer insights, R&D, product development, process optimization, quality control & monitoring. * Working with spectroscopic instruments (NIR, FTIR, UV, UV/VIS, NMR, DAS, Raman, Mass Spectroscopy) chromatography instruments (LC, CE, GC, HPLC), production data & sensory data, R&D, quality control or production processes. Course Topics # When are multivariate methods useful? #  more...
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This page was last updated on sb5- 08/28/08 at 14:24:32