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Provided by: Camo Process AS Multivariate Data Analysis with Chemometrics & Spectroscopic Applications Level 1Statistics |
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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 Quality
- Calibration Methods
- Calibration Development
- Validation and Interpretation
- Prediction and Routine Analysis
- SIMCA
- Data Handling (Importing / Exporting)
- Application of The Unscrambler® in NIR operations
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Introduction
CAMO has more than 20 years experience in providing multivariate data analysis software, products and solutions. A recognized name in the chemometrics software domain, CAMO software solutions help clients understand the knowledge hidden inside data. CAMO provides professional training and applications development in multivariate statistical analysis, spectroscopy, experimental design, optimization and formulations, sensory analysis and PAT, worldwide. Training options include public courses, in-house and online workshops, to bring you the practical knowledge necessary to conduct research and interpret analyses on a daily basis, to best suit your requirements.
Why CAMO Chemometrics & Multivariate Analysis training?
Why CAMO Chemometrics & Multivariate Analysis training? Modern data sets contain many variables where the most interesting trends are hidden in a combination of the variables. Course participants will learn how to interpret complex data quickly and confidently using most modern multivariate techniques. The courses are composed of lectures, demonstrations and computer exercises on datasets using The Unscrambler ® , to illustrate and learn Multivariate Data Analysis. The courses are inspired from the industrial opportunities offered by chemometrics methods. With a non-mathematical approach, our participants can quickly and safely start using the methods in their own work to optimize, classify or predict products and processes.
Who should participate in this program?
Who should participate in this program? The courses have been designed for individuals: - Involved in consumer insights, R&D, product development, process optimization, quality control & monitoring. - Working or likely to work with spectroscopic instruments (NIR, FTIR, UV, UV/VIS, NMR, DAS, Raman, Mass Spectroscopy), chromatography instruments (LC, CE, GC, HPLC), and other sources of multivariate data as part of laboratory, R&D, quality control or production processes. - Pharmaceutical Analytical R&D, Drug discovery, PAT No prior knowledge of Statistics or Unscrambler is required to attend our courses.
Course Overview
Course Overview The Multivariate Data Analysis-1 course has been designed to give participants a strong foundation in the basics and fundamentals of Multivariate Data Analysis. The course combines theoretical studies and practical workshops, ensuring that each participant gets individual focus, and understands the practical uses of MVDA applications in R&D, Process Analysis, Laboratory, Quality Control & Assurance and Consumer Insights.Numerous real world data sets will be analyzed during the course.
Date:
June 07 - 09, 2006
Timing
1st Day - 10.00 - 17.00
2nd Day - 09.00 - 17.00
3rd Day - 09.00 - 17.00
Instruction Medium
Instruction Medium Japanese
Topics Covered
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
The Instructors
About the Instructor Ms.Carolina Hache Born in the Dominican Republic , she obtained her bachelor degree in Agriculture in 1996, working then for 1 year for a United Nations project for environmental conservation and for 3 years in the agricultural sector. Next she decided to move to Japan to pursue Master and Ph. D., obtaining both degrees in Agricultural Engineering from the Tokyo University of Agriculture and Technology. During that period she used Chemometrics and The Unscrambler to analyze airborne multi-spectral and hyper-spectral data as well as VIS and NIR soil spectra collected on-field. She is fluent in Spanish, English and is still improving her Japanese skills.
Contact Information
For further information on the Training courses and to register yourself for the course, contact us at: - In Japan: Dr. Carolina Hache; Tel No.: 090-9133-0563 Email: kaja@wmail.plala.or.jp
or
write to sgoswami@camo.com; Tel:+91-80-4125-4242; Fax: +91-80-4125-4181"
Course Fee
USD 700 or JPY 84,000
The course fee includes a copy of The Introducer training package of worth USD 130 (Multivariate Data Analysis in Practice, by Prof. Kim Esbensen), coffeebreak, lunch and course material.
It also includes a free 30-day test installation of The Unscrambler ® to be able to apply the methods right away in your own area of work
Early Bird Discounts: 10% for Registrations before May 02, 2006
Group Discount: 10% for more than one participant from a single company
The number of seats for the course is limited to 10
Deadline for registrations: May 22, 2006
Participants are required to bring their own Laptop. We can provide computer at an additional cost
