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Training on
Multivariate Data Analysis
Uncover Statistical Techiques for
Analyzing Data with Many Variables Simultaneously

Universiti Malaya, Kuala Lumpur
14 & 15 MAR, 2018
"interpret complex data quickly and confidently using latest software tools of chemometrics and multivariate analytical methods..."

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:-

    • Introduction to MVA
    • Multivariate Data
    • Data Analysis & chemometrics in practice
    • Multivariate Analysis workflow
    • Uni-variate data, Statistics and Plotting
    • Introduction to Multi-variate Analysis
    • Data Collection and Design of Experiements
    • Data Checking and Pre-processing
    • Principal Component Analysis (PCA)
      • Principles Theory of PCA
      • Model rank and cross validation
      • Score Plot, Loading Plot & Bi-Plots
    • Detecting Outliners in PCA
    • Importance of validation in MVA
    • SIMCA Classification
    • Multivariate regression:
      • MLR- Multi Linear Regression
      • PCR - Principal Component Regression
      • PLS - Partial Least Squares
    • Interpreting a regression model in 5 steps
    • Prediction Process
    • Detecting and dealing with outliers
    • Study impact in regression
    • Hands-on exercise

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 process understanding, rapid quality monitoring, product formulation, metabolomics and sensory science 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 Mechanical Engineer with Master Black Belt, Master of Technology from IIT, Delhi with over 23 years of industrial experience with large manufacturing organizations from Automotive, Biotech to Pharmaceuticals industrials which includes execution of process improvement using Quality Management system , Six Sigma, Design of Experiments, Multivariate Data Analysis and Automotive Core Tools application i.e. FMEA , SPC , MSA etc.

He is helping many organizations as data scientist to analyze large scale data sets used for modeling, data mining and business intelligence purpose. He has been involved in training and development of people from basic system tools to Six Sigma tools for more than 4000 peoples. He has been involved in process improvement projects using advance statistical tools in various organizations resulted into huge savings & quality improvements. Currently he is a trainer with CAMO Sofware AS, he have conducted more than 20 Multivariate Data Analysis and Design of Experiments programs in Malaysia and Singapore. He is well versed with statistical various software’s like MINITAB, Unscrambler, Design Expert and R. 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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14 & 15 MAR 2018
10 % Early Registration Discount before 14 FEB 2018
10 % Group Discount for 3 or more from same organization

Various Research & Development Institutions and organization have already participated and benefited from this course, which inclusive of The National Sports Institute of Malaysia (ISN), 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 Eastern Petroleum, A*STAR-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, Malaysia Genome Institute(MGI), NUS Environmental Research Institute (NERI), Malaysian Rubber Board(IGM), Agri-Food & Veterinary Authority of Singapore, National Environment Agency, A*STAR - Singapore BioImaging Consortium, Ranbaxy Laboratory, Forest Department Sarawak and many more.

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