Foundation Data Science for Experts

Duration 7 Weeks
Weekly workload 8 hrs (class) + 8 hrs (preparation and assignments)
Start date November 11, 2022
Tuition fee €3,950 VAT exempt

Foundation Data Science for Experts

What is data science? What can you do with it? Why does it have so much impact in business, industry, healthcare and the public sector? This 7-day course is targeted at professionals who want to learn to develop machine-learning solutions, and who are also interested to learn the business implications of data science.

  • Introductory program in data science for professionals, based on the dual perspectives of Eindhoven University of Technology and Tilburg University.
  • Participants can continue in the Data Science for Experts program: Level 1 (7 months) or Level 2 (1 year).


Download Brochure

You walk away with

  • Solid and hands-on understanding of machine learning and data engineering. You will understand the various types of algorithms, how they are trained, and how they are implemented in a modern data infrastructure.
  • Mastery of Python and implementing data science in a Python-based analytics environment.
  • Practical data entrepreneurship. You will know the value that Big Data and analytics could bring to the organization, and master the skills to translate business goals to data-science questions.
  • CRISP-DM project management. You will master the skill to define a good data-science project and translate the work into a logical structure of tasks.
Download Brochure

Do you fit the profile?

  • Completed Bachelor’s and/or Master’s degree and several years of work experience
  • Business professionals and managers eager to learn how to integrate data and analytics into their work.
  • Bridge between analytics teams and business (marketing, supply chain, manufacturing, strategy and management).
  • Ambition to grow in senior professional position, combining technical expertise with boundary-crossing skills in leadership, entrepreneurship, complex problem solving and critical thinking.


Participants receive a proof of participation

What you will do

  • Preparation: Depending on your skill level in programming, you may need up to 4 weeks of self-study in an online learning environment where you will learn coding in Python.
  • Introduction: Data science — new forms of data, new analytics and new opportunities. We discuss Big Data, predictive algorithms, machine learning and AI. We discuss typical applications, ranging from data science to make current processes and services more efficient, to new products with smart features, and data and analytics as a basis for new business models.
  • How does data science work? We discuss data-analytic thinking and the CRISP-DM model for data-science projects. We develop a fundamental grasp of the main steps of a data-science project: translating a business goal to a data-science question, finding and accessing data sources, extracting features from data, training and selecting a machine-learning algorithm, evaluating the performance and deploying the algorithm in a machine-learning pipeline.
  • We develop and discuss practical implementations of machine learning and data engineering in a Python-based analytics environment.
Detailed curriculum

Things you will like

  • The JADS Community: Upon entering the programs as from level 1, you will be part of the JADS Community of companies, students, startups, professionals, NGOs and academic staff, who all have a passion for data science. We organize network events, inspirational talks and many other activities. It’s also a market for finding business partners and expert help for a data challenge. The Community embodies our belief in the importance of life-long learning.
  • The Mariënburg, a former convent in the historical center of Den Bosch, is JADS’ home. It’s a welcoming, inspirational and atmospheric environment for life-long learning, with the former chapel functioning as the main auditorium, and the vast complex offering many surprising authentic details reminiscent of its former function.
Discover the community

What we believe in…

Data scientists are T-shaped professionals!

The T shape visualizes the idea that a successful career is based on the combination of deep technical expertise (the vertical bar) and wide and broad boundary-crossing skills (the horizontal bar).

Data scientists master the technical skills of data engineering, and know how to use data-warehouses, build a data pipeline and access Big Data cloud solutions. They have the analytical skills of machine learning, and can translate a business opportunity into a data-science problem, apply the data-analytic workflow to develop a model, and test and implement it in a Python environment.

Data scientists are also business savvy, understand how business models and strategies work, are able to manage data-science projects delivering results, and in general, know what it takes to get things done in large and complex organizations.

Data science is changing what organizations do

Data-science applications in professional organizations range from initiatives to make current processes and services more efficient common applications are in smart maintenance, production planning, marketing, product and reliability improvement, anomaly detection and early warning systems. But organizations should also think beyond the horizon of current products and services, as data science is creating important opportunities to augment products with new value based on analytics-driven services, and in the long run is the basis for new, data-driven business models.



Teaching in Covid times …

We’ve created a welcoming and warm online teaching environment, which we use as long as the covid situation prevents classroom teaching. Instructors and teaching technologies are adjusted to online teaching. We miss the friendly and inspirational atmosphere of our historic campus, but the teaching effectiveness of online course matches that of classroom teaching!

Any questions? Get in touch

contact form

  • This field is for validation purposes and should be left unchanged.
Group 5
Group 6
Group 7