About the course Data Science for Reliability Engineers
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.
Subjects of the course Data Science for Reliability Engineers
The following topics will be discussed during the Data Science for Reliability Engineers course:
- Introduction to data science
- CRISP-DM process
- Text mining and natural-language processing (NLP)
- Data maturity & data quality
- Data preparation & scripting
- Unsupervised learning technique
- Supervised learning and model evaluation
- Deployment possibilities
- Organization maturity
- Reliability and data science
Results of the course Data Science for Reliability Engineers
During the Data Science for Reliability Engineers course you will learn:
- What value Big Data and machine learning may bring for a reliability engineer
- A more data-analytic workflow, incorporating efficient data handling and effective model building
- Understanding data science, machine learning and AI, their application in CRISP-DM projects, and how they are applied in smart industry.
Essential machine learning techniques for predictive algorithms (such as OLS regression, decision trees) and unsupervised learning techniques (clustering, text mining).
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.
The course Data Science for Reliability Engineers consists of 2 days, from 9.00 AM to 5.30 PM.
Locations, dates & schedule
Location: Eindhoven – High Tech Campus 29
date to be determined
The investment for the course is € 1.495,- (ex. VAT) per participant, including course materials, lunch and refreshments.
Dorien Lutgendorf, Holland Innovative
Trained as a mechanical engineering and passionate about bridging reliability engineering and data science. Dorien is an experienced reliability expert having completed many projects in high-tech, automotive, energy & agro.
At Bright Cape, we breathe data. We have a talented and knowledgeable pool of colleagues with expertise in analytics & applied data science, data-driven experience design, process mining, and innovative products. We take our clients on a journey of discovery through their data and guide them in their digitization journey by building and implementing scalable, sustainable data science solutions.
Certificate / diploma
Participants who have followed the full course receive a certificate of participation.
Method of teaching
The course Data Science for Reliability Engineers is offered as an in-class course, but any other form is open. We are able to offer offline, online and hybrid courses. The structure of the course is to follow the CRISP-DM structure and walk through a very typical reliability project. Opportunities and the practical application of data-science techniques are discussed.
Maximum group size: 12