Learn advanced data analysis :
- Introduction to multivariate data analysis
- Introduction to data pre-processing
- Introduction to design of experiment
- Introduction to artificial intelligence and machine learning
- Artificial neural networks : classical and deep learning
- Multivariate clustering and classification
- Multivariate resolution and calibration
- Examples of application in food, environmental and pharmaceutical analysis
Exciting activities :
- Two days of theoritical courses besides one day of practical work
- Computer exercise on different chemometric using Matlab and Python
- Obtaining a certificate

Software :
- MATLAB R2016a
- Classification Learner Toolbox
- MVC1 Toolbox
- MCR-ALS Toolbox
- Design-Expert version 13
- Visual Stodio Code