Data Science for Professionals in Industry

Course information

Eindhoven
4 modules of 1 day
14/09, 4-5/10, 8/11

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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HI-PP8 Data Science for Professionals in Industry

Data Science is creating new opportunities for experts in industry. It allows data-driven analysis techniques, offer structures for framing and solving problems, and follow a project-based approach In short, data science takes problem solving and improving 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. Current industry recognizes data and analytics as valuable assets, and explores data-driven business models and strategies allowing new types of innovations.

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

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.

Ir. Dorien Lutgendorf

Sr. Reliability Specialist

Trained as a mechanical engineer 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.

Course: Data Science for Professionals in Industry.

Outcome

This course helps you understand how new forms of data and new analytical techniques are reshaping your industry.

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 Professionals in Industry.

Yes, I'm joining

What you’ll learn.

Program

During the course Data Science for Professionals in Industry you will learn:

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

Sr. Project Manager & Master Black Belt

Eindhoven
4 modules of 8 days in total

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

Sr. Project Manager & Master Black Belt

Eindhoven
4 modules of 3 days

HI-PP5 Master Black Belt

Product and Process Development System Engineering

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

Marcel Logger

Competence Lead Six Sigma & Master Black Belt

Eindhoven
3 modules of 2 days

HI-PP7 Failure Mode & Effects Analysis Facilitator

Product and Process Development Reliability System Engineering Data Science

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

Marcel Logger

Competence Lead Six Sigma & Master Black Belt

Eindhoven
2 modules of 2 days

Practical information.

For whom

The course is aimed at professionals eager to enrich their expertise with machine learning and data science.

The course contains various engineering examples and covers the CRISP-DM framework. Which is the data science industry standard equivalent of DMAIC from the Six Sigma discipline. 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.