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Training on
Multivariate Data Analysis
Get Value Out of Your Data
Singapore
23 – 24 February, 2012
Note -> February Class is Full,
New Class opening in May
"By Popular Demand, after running 8th Training Courses in 2011
we are organizing new classes in 2012 for our regions."

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.
Multivariate analysis is used widely in many industries, from raw material analysis and drug discovery in the pharmaceutical industry, early event detection and gasoline blending in refineries, right through to predicting future market trends in business intelligence applications. It can be used for measuring data sets with many input variables or for investigating the trends in time series data, all of which provide a better understanding of a given issue and often result in resource and time savings. 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.

For most real-world problems we need to use multivariate analysis to model the relationship to the response. We need tools to mine our data, and understand the relationships in them, whether for pattern recognition, or to develop models that can be used to predict values for new samples. Multivariate analysis (MVA) has wide application to data including instrumental data, medical diagnostics, census data, economic data, marketing data, or even a sports team’s performance. MVA gives us a means to find the relationships in the data, and provides tools to visualize the relationships between samples and variables. It can be used for both qualitative and quantitative analysis.

This 2-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.

You will learn:-

  • 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


MVA For Spectral Data


Principal Component Analysis

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 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.
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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23 - 24 February 2012 @ SG
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 Edwin Toh edwintoh@solutions4u-asia.com

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