HI-PP1 Opleiding Data Science for Six Sigma Green Belts & Black Belts
Data science … the next step in Six Sigma? | 4 days
Data science and Six Sigma have much in common. Both depend 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!
This course builds on your Six Sigma skills, helps you to understand how new forms of data and new analytical techniques are reshaping the field, and 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.
About the course Data Science for Six Sigma Green Belts & Black Belts
The course is a combination of lectures, hands-on work sessions, and home assignments. At the first day, you will get instructions for installing and managing an analytics environment based on Python and Jupyter Notebooks on your laptop.
Subjects of the course Data Science for Six Sigma Green Belts & Black Belts
The following topics will be discussed during the Data Science for Six Sigma Green Belts & Black Belts course:
- 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 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 and neural networks) 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.
- Data engineering 101, data pipelines, and SQL and No-SQL.
Results of the course Data Science for Six Sigma Green Belts & Black Belts
During the Data Science for Six Sigma Green Belts & Black Belts course you will learn to:
- Understand what data science is and what role it plays in modern business and industry.
- Have a working, modern analytics environment on your laptop and the skills to use it in a data-analytic workflow.
- Understand essential techniques from machine learning, and have basic experience in applying them using Python and SciKit-Learn.
- Have an overview of the landscape of modern data engineering and architecture.
- In four days’ time, you will get a solid foundation in techniques that will have great impact in the next decade.
For whom
The course Data Science for Six Sigma Green Belts & Black Belts 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.
Setup course
The course consists of 4 days, from 9.00 am to 13:00 pm.
Locations, dates & schedule
Location: Eindhoven – High Tech Campus 29
Dates 2021
Session III, from 9:00 AM – 17:30 PM – 4 modules
Day 1: 13 September
Day 2: 27 September
Day 3: 28 September
Day 4: 07 October
Investment course
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.
Teachers
Prof. Dr. Jeroen de Mast
Besides his affiliation with HI, Jeroen de Mast is professor at the University of Waterloo and Academic Director at the Jheronimus Academy of Data Science.
Jerry de Groot
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.
Dorien Lutgendorf
With mechanical engineering as technical background, Dories has extensive experience in modeling, testing, and reliability engineering in various projects. She is analytical, pragmatic and eager to learn. She always likes to think along with interesting topics. Experienced training in Lean Yellow belt, FMEA and Reliability Engineering.
Certificate / diploma
After completing the full training, participants receive proof of participation. 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.
Method of teaching
This training will be available as Live Online Interactive Training (LOIT).
Group size
Minimum 8 participants, maximum 12 participants.
Training advice?
Would you like to receive more information about this course? Our program managers can tell you more about it! You can reach them from Monday till Friday from 08:30 till 17:00.
Related courses
In the area of Six Sigma we also offer:
- HI Training Six Sigma
- HI Training Lean Yellow Belt
- HI Opleiding Green Belt Six Sigma
- HI Opleiding Green Belt to Black Belt
- HI Opleiding Black Belt Design for Six Sigma
- HI Opleiding Master Black Belt
In the area of Data Science we also offer:
About the Holland Innovative Academy
Holland Innovative helps to develop the competencies of you and your colleagues to strengthen your organization and create growth. Together with renowned centres of expertise such as Eindhoven University of Technology, Twente University, Delft University of Technology and the University of Stuttgart we organize courses, trainings and masterclasses in Project Management, Product & Process Development, Reliability, Data Science and MedTech. We offer both open enrolment and in-company training; tailor-made to fully meet the needs and the strategy of your organization. Coupling these courses with practical experience is important in order to maximise the effectiveness. Where possible, your own cases/data are discussed during our training and/or further explored by coaching on-the-job, project participation and also in the User Groups.
Check the complete training program of the Holland Innovative Academy