Course information

  • 4 days

  • 2025

Investment

The investment is €2.990 (excl. VAT) per participant. 

Included are four training days and extensive course materials. The software used in the course is open-source and free. 

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About the course HI-PP1 Data Science for Six Sigma Green Belts and Black Belts.

Data science and six sigma have much in common. Both operate on data-driven analysis techniques, offer structures for framing and solving problems, and follow a project-based approach. But also: six sigma is at least 25 years old … data science takes it to the next level. With new analytics, new forms of data, and new opportunities! 

The last decades have seen the emergence of a totally new brand of analytics from statistical learning, machine learning and AI. While six sigma focuses on optimizing business processes and current product lines (“Horizon 1 innovation”), current industry recognizes data and analytics as valuable assets in themselves, and explores data-driven business models and strategies (“Horizon 3 innovation”). 

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With this course you’ll learn:

  • Understand the role data science plays in modern business and industry
  • Understand essential techniques from machine learning
  • Have basic experience in applying techniques using Python and SciKit-Learn
  • Have an overview of the landscape of modern data engineering and architecture

Teaching professionals.

Jerry de Groot

Jerry de Groot

Data Scientist
Specialized in medical device technology after studying applied physics, Jerry learned statistics and data science through academic research in the Amsterdam Medical Center. He is keen in figuring out how things work (or don’t), loves prototyping and has a natural ability to explain complex abstractions in plain language.

Course: Data Science for Six Sigma Green Belts and Black Belts.

Outcome

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.  

It gives you a solid and practical foundation in machine learning on which you can build your further mastery of the fields of machine learning and Big Data. 

Data Science for Six Sigma Green Belts and Black Belts

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What you’ll learn.

Program

During the course Data Science for Six Sigma Green Belts and Black Belts you will learn:

  • Building on your expertise in Six Sigma, you will learn new skills.
  • Understand data science, machine learning and AI, their application in CRISP-DM projects, and how they are applied in smart industry.
  • Work in an analytics environment based on Python, Jupyter notebooks and Anaconda.
  • Practical visualization using Python’s Matplotlib and Seaborn libraries.
  • Machine learning using Python’s SciKit-Learn. Essential predictive algorithms (lasso regression, decision trees and random forests, support-vector machines, neural networks and deep learning) and unsupervised learning (principal components analysis and t-SNE).
  • Apply a practical workflow: feature engineering and data preprocessing, training a model and finetuning hyperparameters using cross validation, model evaluation and implementation in a pipeline.
  • The basics of data engineering, data pipelines and handling SQL and No-SQL data sources.

Relevant courses.

HI-PP3 Green Belt to Black Belt

Product and Process Development

This course focuses on certified Green Belt professionals who want to deepen their knowledge at the Black Belt level.

Theo de Goede
Theo de Goede
Sr. Project Manager & Master Black Belt
  • 8 days
Learn more about this course

HI-PP4 Black Belt Design for Six Sigma

Product and Process Development System Engineering

This course will enable you to take the lead in projects and carry them out according to the DfSS method.

Theo de Goede
Theo de Goede
Sr. Project Manager & Master Black Belt
  • 12 days
Learn more about this course

HI-PP5 Master Black Belt

Product and Process Development System Engineering

Learn how to develop and lead successful improvement programs within organizations.

Marcel Logger
Marcel Logger
Competence Lead Six Sigma & Master Black Belt
  • 6 days
Learn more about this course

HI-PP7 Failure Mode & Effects Analysis Facilitator

Product and Process Development Reliability System Engineering Data Science & AI

Learn to execute and facilitate risk analysis within your Product Creation Process.

Marcel Logger
Marcel Logger
Competence Lead Six Sigma & Master Black Belt
  • 4 days
Learn more about this course
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Practical information.

For whom

The course is aimed at six sigma, DfSS and Lean Six Sigma green belts and black belts eager to enrich their expertise with machine learning and data science. 
Although the course is called “Data Science for Six Sigma Green Belts & Black Belts”, it is open to anyone reasonably familiar with six sigma principles.  

The course contains various engineering examples and covers the CRISP-DM framework. Which is the data science industry standard equivalent of DMAIC. The course also contains examples and exercises in Python, a popular open-source programming language for data science. Prior knowledge with Python is not necessary. 

Certificate

After completing the training, participants receive proof of participation.

Location & Dates

Location

Eindhoven – High Tech Campus 29 

Dates 2025

To be determined.

Group size  

A minimum of 8 participants with a maximum of 12 participants.