Multivariate Analysis of Spectroscopic Data

  • An introductory course to using various multivariate analysis techniques through Aspen Unscrambler. You will begin with handling data using the software, plotting, and descriptive statistic techniques to represent data. Furthermore, gain knowledge about principal component analysis(PCA), sampling, regression and validation methods, and workshops to help you understand the capabilities of Aspen Unscrambler.
  • Learn how to extract the most information from your spectral data with the Unscrambler application

Audience:

  • Data Analysts with a technical background
  • Quality assurance and quality control managers or personnel
  • Anyone involved in the functional and technical evaluation of the product, or associated aspenONE Solutions
  • Application and system administrators, system integrators

Training Details

  • Course Id:

    MVA201

  • Duration:

    2 day(s)

  • CEUs Awarded:

    1.4

  • Level:

    Introductory

Benefits

  • Offers a more complete examination of the data by looking at all possible factors.
  • Can help companies predict future outcomes, improve efficiency, make decisions about policies and processes, correct errors, and gain new insights.
  • Multivariate analysis often builds on univariate (one variable) analysis and bivariate (two-variable) analysis

Approach

  • The is a two-day comprehensive course
  • Short lecture sessions focused on concepts and terminology 
  • Structured hands-on lab exercises that promote lasting learning experience

Agenda

  • Introduction to Multivariate Analysis (MVA)
  • Data import and handling
  • Diagnostics and plotting
  • Principal Component Analysis (PCA)
  • Outlier detection
  • Preprocessing
  • Regression modeling
  • Clustering and classification
  • Validation methods
  • Multivariate curve resolution (MCR)
  • Conclusion (or How to be a good data analyst?)
  • Extra slides
  • Workshop #1: Importing Spectroscopic Data into The Unscrambler
  • Workshop #2: Visualizing Spectral and Constituent Data Using the Unscrambler
  • Workshop #3: PCA of Raman spectra of raw materials
  • Workshop #4: Application of Various Pre-Treatments to NIR Spectra Collected
  • Workshop #5: Multivariate Calibration and Validation, NIR spectra of wheat
  • Workshop #6: Prediction of octane number using PLSR
  • Workshop #7: Raw Materials Identification using SIMCA, PLS-DA and SVM on NIR data
  • Workshop #8: Derivative, PCA, PLS and prediction of drug product in tablets
  • Workshop #9: Multivariate Curve Resolution of a chemical degradation

Register for a Class

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Aspen Technology, Inc. awards Continuing Education Units (CEUs) for training classes conducted by our organization. One CEU is granted for every 10 hours of class participation.