Data analysis
Data analysis by application
Spectroscopic calibrations
Predictions of quality criteria
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Industry 4.0
Process Analytical Technology and Quality by Design
Data analysis by type of measurements
Spectroscopic data
Imaging
Physico-chemical anaysis
Process data
Design of Experiments
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Data analysis – Chemometrics
Spectroscopic data analysis
Python for spectral data analysis
Hyperspectral image analysis
Data analysis for PAT
Design of Experiments
Mixture Designs
Advanced methods of Machine Learning
Support Vector Machines – SVM
Process Monitoring
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Training sessions
Training catalog
Ondalys proposes training courses in Chemometrics and Machine Learning to Professionals
You can find below all the in-house training sessions in data analysis, provided in english by Ondalys:
Contact us for any information
Multivariate data analysis
The basic methods of Chemometrics - PCA, PLS
Spectroscopic data analysis
The basis of data analysis methods for spectra
Python for spectral data analysis
Chemometrics and ML models built with Python
Data analysis for PAT
The basic methods of data analytics for PAT
Hyperspectral image analysis
The methods for processing images
Design of Experiments
The basic methods to implement and optimize a DoE
Mixture DEsigns
The methods to build mixture designs
SVM - Support Vector Machines
The Machine Learning method of SVM
Advanced Machine Learning
The ML methods: LWR, SVM, ANN, XG Boost...
Process supervision
The methods for the process monitoring: MSPC, BSPC
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