In modern manufacturing, with a strong push towards digitalization, vast amounts of production data are now being generated, collected and stored. This data contains information that can be used for process understanding, improvement, optimisation and control.
The course provides you with tools that can help and accelerate the extraction of such valuable information from available data.
The course provides:
- An overview of a range of frequently used data analytics methods for process understanding, improvement and surveillance. A mixture of classical and relatively new methods in large data analytics will be covered.
- Immediate possibility to the participants to apply the methods covered during the course.
- Working knowledge through hands-on exercises for which the participants will work on provided data or on their own data.
- A brief overview of functionalities in the free statistical software R that will be used for live demos and exercises throughout the course.
Who is the course for?
The course is aimed at all people who deal with data in their daily work. The participants are expected to have an introductory level knowledge in statistics.
This course is developed and taught by DTU Compute.
