Instructor Led Pcr Training - Training Resources
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 learn at home |
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From Camo Process AS
Multivariate Data Analysis with Chemometrics & Spectroscopic Applications Level 1
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...
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 BIOBRAINZ Institute of Emerging Technologies
Biotechnology bioinformatics training projects
Biobrainz Life Sciences is announcing its 6th Biotechnology/ Bioinformatics a Certified Winter Training 2009-2010a
Who can apply ?: Students of BSc, MSc, BTech, MTech (Biotech, Micro, Molecular Biology)
Topics:
*BASIC BIOTECHNOLOGY INSTRUMENTATION TRAINING (Duration: 15 Days, Fee: 2940/-)
*Advance BIOTECH TRAINING (Duration: 1 Month, Fee: 6300/-)
*BIOINFORMATIC TRAINING (Duration: 1
more...
From Camo Inc.
Monimuuttujamenetelm t 1 (Multivariate Data Analysis - Finnish Course)
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...
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...
Multivariate Data Analysis
Introduction to multivariate data modeling
When are multivariate methods useful?
Principles and applications of:
Principal Component Analysis (PCA)
Multivariate regression: Multi Linear Regression (MLR), Principal Component Regression (PCR), Partial Least Squares (PLS)
Relevant data collection
Multivariate modeling step by step
Pretreatment and scaling
Detecting and dealing with
more...
Introduction to multivariate data modeling
When are multivariate methods useful?
Principles and applications of:
Principal Component Analysis (PCA)
Multivariate regression: Multi Linear Regression (MLR), Principal Component Regression (PCR), Partial Least Squares (PLS)
Relevant data collection
Multivariate modeling step by step
Pretreatment and scaling
Detecting and dealing with
more...
