Foundation Data Science for Business Managers

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Duration 6 Weeks
Weekly workload 8 hrs (class) + 4 hrs (preparation and assignments)
Start date November 5, 2021
Tuition fee €3,450 VAT exempt

Foundation Data Science for Business Managers

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 6-day course is targeted at professionals and managers eager to learn how to integrate data and analytics into their work. Where data engineers and data scientists are technical experts, business managers and senior professionals need to integrate data and analytics into their work, and ensure that data science connects flawlessly to the business needs. This bridge function between analytics and other business functions is called the Analytics Translator and this program teaches you how to acquire these knowledge and skills.

  • Introductory program in data science for Business Managers, based on the dual perspectives of Eindhoven University of Technology and Tilburg University.
  • Participants can continue in the Data Science for Business Managers program: Level 1 (7 months) or Level 2 (1 year).
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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.
  • 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. You will have a sound understanding of typical applications of data science in your field.
  • 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. You will understand the different roles of data engineers, data analysts, domain experts, and what you should expect from them.
  • Orientation: this 6-day program is a primer to the ensuing Certificied Analytics Translator program (7 months) or the Certified Lead Analytics Translator program (1 year). The insights of this program are designed to help you orientate in the data-science world, and establish your learning goals and career ambitions for your further development in data and analytics.
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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.
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Certificate

Participants receive proof of participation.

What you will do

  • Introduction: Data science — new forms of data, new analytics and new opportunities. We discuss Big Data, predictive algorithms, machine learning and AI. Typical applications are dealt with, 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 demonstrate practical implementations of machine learning and data engineering in a Python-based analytics environment. It is not required that you can program in Python, and learning to code in Python is not part of this course.
Detailed curriculum
JADS Marienburg campus

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.
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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!

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