HI- RF Course Data Science for Reliability Engineers

Demystifying data science for reliability and maintenance specialists building on its strengths| 2 days

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.

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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). 

For whom

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.

Setup course

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

Dates 2021:
date to be determined

Investment course

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.

Bright Cape
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.

Group size

Maximum group size: 12

For registration: please contact us at academy@holland-innovative.nl

Over de Holland Innovative Academy

Holland Innovative helpt bij het ontwikkelen van de competenties van u en uw collega’s om uw organisatie te versterken en groei te creëren. Samen met gerenommeerde expertisecentra zoals de Technische Universiteit Eindhoven, Universiteit Twente, Technische Universiteit Delft en de Universiteit van Stuttgart organiseren we opleidingen, trainingen en masterclasses in Projectmanagement, Product & Procesontwikkeling, Reliability, Data Science en MedTech. We bieden zowel open inschrijving als incompany trainingen; op maat gemaakt om volledig  aan de behoeften en de strategie van uw organisatie te voldoen. Het koppelen van deze trainingen aan praktijkervaring is belangrijk om de effectiviteit te maximaliseren. Waar mogelijk worden uw eigen cases/data besproken tijdens onze training en/of verder verkend door coaching on the job, projectparticipatie en ook in de User Groups.

Bekijk ons complete trainingsaanbod in de Holland Innovative Academy