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Instructor Led Spectroscopy Training - Training Resources

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Spectroscopy Training Seminars and Classes
From Camo Process AS
Multivariate Data Analysis 1 instructor led trainingon-line e-learning cbt (computer based)coursewarecomputer lab ...se 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, applications development and group discussion. The course will use The Unscrambler software package, which is  more...
Multivariate Data Analysis with Chemometrics & Spectroscopic Applications Level 1 instructor led trainingon-line e-learning cbt (computer based)study at homecoursewarecomputer labJapanese ...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 Quality Calibration Methods Calibration  more...
From Petroleum Training Institute
Analytical Instrumentation Systems This course is for the process engineer/ technician presented with the task of maintaining and operating on-line process analysers in a production plant. The main topics covered are listed below. Sampling of Liquids and Gases Sample handling for process gas chromatographs Pressure let down systems General analyser housing design Sampling of solids and slurries Thermal Conductivity and  more...
From Camo Inc.
Monimuuttujamenetelm t 1 (Multivariate Data Analysis - Finnish Course) instructor led traininggroup study and discussionworkshop / seminar ...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? # Principles and applications of: # Principal Component Analysis (PCA) # Multivariate regression: Multi Linear Regression (MLR), Principal  more...
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