- Introduction into Data Science
- CRISP-DM process
- Text mining and natural language processing (NLP)
- Data maturity & data quality
The investment is € 1.495 (excl. VAT) per participant.
Included course materials, lunch and refreshments.
The focus on data science applications in reliability and maintenance engineering is unique. For a successful project, expertise in both data science and domain expertise are required, as well as tech-savvy and programming skills.
The vision underlying the course is that reliability engineers bring domain knowledge to the table, and by training them in the possibilities and way of working of data science they can successfully collaborate with experts in machine learning and data engineering.
Given the availability of cheap sensors and data storage, and modern data infrastructures such as the Internet of Things, more and more information about a product’s lifetime, degradation and performance in the field are available. Also, new types of data, such as online product reviews and weather data, are now easily accessible.
These massive streams of data are a rich source of information for understanding and improving the reliability of products and for optimizing a maintenance strategy. They complement reliability testing, and may sometimes even be a cheaper alternative. They also create challenges for reliability engineers, in handling larger and less structured data sources, and in combining multiple data sources, possibly of various types, in a meaningful way.
What you'll learn on day 1
What you'll learn on day 2
Predict the reliability of your product based on field and test data.
Become a reliability engineer to perform reliability and risk analyses of complex systems.
Become a software reliability engineering professional capable of supporting the creation of Reliable Software for complex systems.
This course builds on your six sigma skills. By helping you to understand how new forms of data and new analytical techniques are reshaping the field.
The Data Science for Reliability Engineers course is suited for reliability and maintenance engineers, reliability team-leads/managers eager to enrich their knowledge with a basic understanding of the data science work field.
After completing the full training, you receive proof of participation.
Eindhoven – High Tech Campus 29
Dates 2023 Eindhoven
Day 1: 20 September
Day 2: 21 September
A maximum of 12 participants