Introduction to Data Analytics for Process Engineers


Digitalization transforms the chemical industry across its horizontal value chain. Data Analytics can be used to improve your processes.

Course dates 
Price information 
0 SEK. The course is sponsored by AI Competence for Sweden
Target group 

This two-day course is intended for process engineers working in R&D, production engineering or process engineering.

Total scope 
2 days
No. of seats 
Course language 
Course brochure 
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Entry requirements 

Basic knowledge in mathematics


This course explains the importance of experimental design to efficiently plan your experiments and how maximum amount of information is retrieved by using minimum resources. The course introduces the most central data-analysis methods including linear and non-linear regression, logistic regression, multivariate data analysis including principal component analysis (PCA) and PLS regression. The final part of the course presents advanced data analysis methods such as neural networks by use of worked-through examples.

This course prepares you for the upcoming (more advanced) course Machine Learning in Chemical Engineering, in which you do supervised hands-on computer exercises in computer rooms at Chalmers.

Cancellation policy: 

This is just a declaration of interest, not a firm application.