Course description
This short course provides delegates with a working appreciation of advanced data analytics, combined with conventional analysis methods to make the best use of available analytical tools when seeking insight from engineering data.
Many engineering organisations have created various initiatives to embrace the latest digital capabilities and equip their workforce with related tools and techniques. A key growth area of interest is the application of modern data-analytic techniques to aid understanding of how products behave in service and where potential vulnerabilities may exist in product usage with the aim of improving design and functionality. Delegates will therefore gain a working practical appreciation of techniques related to data-science and AI that will help unlock valued insight from business and engineering data.
Upcoming start dates
Suitability - Who should attend?
The course will benefit engineers from a range of industries and disciplines (e.g. manufacturing, design, operation support, etc.) who want to make better data-driven decisions.
Outcome / Qualification etc.
What you will learn
On completion of the course, you will be able to:
- Understand fundamental concepts and methodologies of machine learning.
- Visualise multi-parameter complex engineering data in an understandable form.
- Understand and develop analysis work-flows to gain valued insight from data.
- Make better decisions from your engineering data using analytical methods.
Training Course Content
Core content
- Introduction to data analytics
- Understanding data
- Descriptive analytics
- Data analytics workflow
- Data visualisation
- Overview of data analytics software
- Manipulation and querying data using Python
- Appreciation of signal processing
- Linear algebra 101
- Probability and statistics 101
- Unsupervised learning
- Supervised learning
Course delivery details
Course structure
This course is delivered over three days as a series of lectures and practical discussion sessions. The course will also cover ways in which delegates can access modern analytical techniques within their organisation via open-source software and/or commercially available packages.
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Cranfield University
Cranfield is a specialist postgraduate university that is a global leader for education and transformational research in technology and management. We have many world-class, large-scale facilities, including our own global research airport, which offers a unique environment for transformational education...