Course Overview
· Gain an understanding of the essential principles of multivariate analysis whilst understanding the primary navigation and handling of data of Aspen Unscrambler. · This course teaches the Principle Component Analysis, Regression, and essential sampling and validation techniques to evaluate your data. · Introduction to Multivariate Analysis (MVA) · Principal Component Analysis (PCA) · Outlier detection · Multivariate regression · Prediction using multivariate models · Model validation |
· Data Analysts with the 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 |
MVA101
2 day(s)
1.4
Introductory
· 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. |
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· MVA901 · MVA902 |
· Introduction to Multivariate Analysis · Data import and handling · Diagnostics and Plotting · Principal Component Analysis · Outlier Detection · Regression Modelling · Validation in Multivariate Analysis · Preprocessing · Conclusion: How to be a good data Analyst · Extra Slides · Workshop #1: Data import and visualization (Water) · Workshop #2: Introduction to Principal Component Analysis (PCA) (McDonalds) · Workshop #3: Interpreting PCA (Peas) · Workshop #4: Outlier detection with PCA (City Temperatures) · Workshop #5: Introduction to Partial Least Squares Regression (PLSR) (Peas) · Workshop #6: Outlier detection with PLSR (EPA) · Workshop #7: Multivariate calibration and prediction (Alcohol) · Workshop #8: Variable selection with PLSR (Paper) |
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.