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Instructor Led Chemometrics Training - Training Resources

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Chemometrics Training Seminars and Classes
From Camo Process AS
Multivariate Data Analysis Level 1 MVA 1 Process Analytical Technology PAT instructor led trainingcoursewareworkshop / seminarcomputer lab The course is aimed at researchers, scientists and engineers who work within life science and chemical industries. This course enables understanding of the central role of multivariate methods in Process Analytical Technology (PAT). Participants will learn how to interpret complex data quickly and confidently, and how to build robust models for process monitoring. Tailored to meet the needs of  more...
Multivariate Data Analysis 1 instructor led trainingon-line e-learning cbt (computer based)coursewarecomputer lab ...hands-on course designed to teach participants how to use chemometrics to solve practical problems. The course highlights include, application of Chemometrics to NIR spectroscopy and application of multivariate statistics for specific industrial applications. Customized real-world data sets will be examined during the course. Participants are encouraged to bring their own data for analysis,  more...
Multivariate Data Analysis with Chemometrics & Spectroscopic Applications Level 1 instructor led trainingon-line e-learning cbt (computer based)study at homecoursewarecomputer labJapanese Our module Multivariate Data Analysis for Spectroscopy presents methods and applications for analysis of spectroscopy data using The Unscrambler®. The Unscrambler® Overview Visualizing Visualizing Data through Plots Modifying Variable and Sample Sets Data Pre-Processing PCA Regression Methods: PCR, PLS, MLR Outliers in PCA and PLS Inspection (Evaluation) of Data  more...
From Camo Inc.
Monimuuttujamenetelm t 1 (Multivariate Data Analysis - Finnish Course) instructor led traininggroup study and discussionworkshop / seminar The course hax been designed for individuals: * 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  more...
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