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Training on
Multivariate Data Analysis
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Design of Experiments for
Chemometrics & Spectroscopic Applications
Klang Valley, Malaysia
20 – 22 February, 2012 |
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"By Popular Demand, after runing 8 Training Courses in 2011
we are organizing new classes for 2012 for our regions." |
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Data analysis is a vital part of science today and in assessing quality, modern data sets contain many variables where the most interesting trends are hidden within a combination of the variables. Using the lastest multivariate techniques with design of experiments, participants will learn how to interpret complex data quickly and confidently. You will discover the secret of overviewing data tables and also learn how to build robust predictive models that translate data into decisions.
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Multivariate Data Analysis (MVA) typically used for Research and Development, Consumer and market research, quality control and quality assurance across a range of industries such as food and beverage, paint, pharmaceuticals, chemicals, energy, telecommunications, and others. It can generates data models that can be used for on-line prediction and classification and it also generates data models for faster product and process optimization for application in Spectroscopy, Chemometrics, Sensometrics, Process Analytical Technology, Product Development and Quality Control. |
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Using Design of Experiments methodologies, data ranges are selected carefully to deliver results. Multivariate tools are used to reveal meaningful information in your data sets. By analyzing huge mass of historical data or planning experimentation, the right patterns are identified, outliers are detected. Hence it provide process understanding that leads to optimization. In addition it help you with management of your data and reports. The data are summarized in tables easy to review and interpret. Analysis results and reports can be readily deployed for interactive review and for submission and reporting.
This 3-days hands-on training you will learn how to interpret complex data quickly and confidently using latest software tools of chemometrics and multivariate analytical methods, participants can quickly and safety start using the methods in their own work to optimize, classify or predict products and processes. Solutions 4U provides CAMO's Unscrambler® Software for the exercise session during the course.
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You will learn:-
Multivariate Analysis
- 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 modeling step by step
- Pretreatment and scaling
- Detecting and dealing with outliers
- Calibration, validation
- Prediction
- The different validation methods
- Basic rules for successful data analysis
- New Algorithms:
- L-PLS
- SVM - Support Vector Machines
- HCA - Hierarchical Cluster Analysis
- LDA - Linear Discriminant Analysis
Design of Experiments
- What is Experimental Design
- Experimental Design in R&D Projects
- Screening Designs Optimization Designs and their Analysis
- Experimental design and PCA
- From Screening to Optimization
- Designs for product and process optimization
- Multivariate analysis of data collected on the basis of experimental designs
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MVA For Spectral Data

Principal Component Analysis

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Who Should Attend
The course combines theoretical studies and practical workshops, ensuring that each participant gets individual focus, and understands the practical uses of MVA & DOE application. It is intended for researchers, scientists, chemists and engineers involved in working or likely to work with spectroscopic instruments (NIR, FTIR, UV, UV/VIS, NMR, Raman, Mass Spectroscopy), chromatography instruments (LC, GC) and other sources of multivariate data as part of laboratory, R&D, quality control or production processes.
No prior knowledge of statistics is assumed.
Note: Due to the nature of the course and the learning expectations, the availability seats are limited. You need to register early to obtain confirmation of your space. |
Trainer Profile |
Ramnendra Mandloi is a Master Black Belt, Master of Technology from IIT, Delhi with over 17 years of industrial experience with large
automotive manufacturing organizations which includes execution of process improvement using Quality Management system , Six Sigma, TQM , Automotive Core Tools application i.e. FMEA , SPC , MSA , DOE, MVA. Authorized trainer for CAMO Software.
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He has been involved in training and development of people from basic system tools to Six Sigma tools for more than 2500 peoples. He has been involved in Six Sigma process improvement projects in various
organizations resulted into huge savings & quality improvements.
He has worked in groups like Tata, Mahindra & Mahindra, Hindustand Motors (now Avtec) and Kirloskar Brothers Ltd. He has been
instrumental in getting TS 16949 for these organizations in record time with the World’s Best Certifying Agencies, including holding positions as Management Representative for ISO 9001, 14001, TS16949. He is
Certified auditor for TS 16949, Lead auditor for ISO 14001 and certified auditor for CII Exim Award (Business Excellence Model based on TQM model of European Federation of Quality Management).
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Sign Up Now! |
20 - 22 February, 2012 @ MY
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| Various Research & Development Institutions and organization have already participated and benefited from this course, which inclusive of Sime Darby Technology Centre, Forest Research Institutes Malaysia (FRIM), Malayian Palm Oil Board (MPOB), Malaysian Pepper Board (MPB), Malaysian Agricultural Research & Development Institute (MARDI), Petronas, Halal Product Research Institute, Institute of Medical Research (IMR), PureCircle Sdn Bhd, Shell, Institute of Chemical & Engineering Sciences (ICES), Singapore-MIT Alliance for Research and Technology (SMART), Health Sciences Authority (HSA), Symrise Pte Ltd, Duke-NUS Medical Graduate School, Singapore Delft Water Alliance and many more.
For more information or customization, please contact us at enquiry@solutions4u-asia.com or Cowen Tan cowentan@solutions4u-asia.com
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