From data to decisions using Machine Learning methods

SIMCA® is a powerful multivariate data analysis software used for building predictive
models and analyzing complex data sets used as a powerful tool by many of the world’s innovative companies. It employs techniques to uncover patterns and relationships in data, aiding in quality control, process optimization, and research. Python can be used to add additional features in an easy way.  

SIMCA®-online extends these capabilities to real-time monitoring and control, allowing continuous assessment of process performance. It integrates seamlessly with manufacturing systems, providing alerts and diagnostics to ensure consistent product quality and operational efficiency. Together, SIMCA® and SIMCA®-online offer robust solutions for data-driven decision-making in various industries. With SIMCA-online you can mix dynamic and steady-state process within the same project and execute monitoring, forecasting and control models simultaneously and predicting vital CQA’s.  

Attending a training from Umetrics/Sartorius Digital Solutions offers numerous benefits: 

Expert Knowledge: Umetrics®, a leader in multivariate data analysis, provides training led by industry experts with deep knowledge and practical experience. 

Hands-On Learning: The course includes practical exercises and real-world examples, ensuring you can apply what you learn directly to your work. 

Advanced Tools: Gain proficiency in powerful software like SIMCA® and SIMCA®-online, enhancing your data analysis and process optimization skills. 

Continuous Support: Benefit from ongoing support and resources post-training to help you implement and maximize the value of your new skills. 

SIMCA will be made available to those attending the course (more information will come). 

Main Teacher: 

Assoc. Prof., Dr., Lennart Eriksson, Principal Data Scientist at Sartorius Digital Solutions.
Lennart has worked with DOE and MVDA for over three decades across various industrial segments. His special interest lies in teaching all aspects of DOE and MVDA, ranging from onboarding new practitioners all the way up to the expert level.  

Do not forget also to sign up for dsk.2024.