Data Science for Business Innovation

Get the skills you need to lead data-driven business decisions

From a deep-dive into the latest techniques to an opportunity to get hands-on with real-world data projects, the Data Science for Business Innovation course equips professionals with the skills they need to succeed in a data-driven world.

What you will gain

Developed in partnership with Politecnico di Milano, the course starts by laying a foundation in data science, including big data, machine learning, data valorisation, and communication. During the course, participants will also learn about the value that data science can bring to an organisation, and how business leaders can use data to become better problem solvers.

Building on this foundation, the curriculum then turns to the technical nuances of data science, covering such topics as:

  • Supervised, unsupervised, and semi-supervised methods
  • Classification, clustering, and regression techniques
  • NoSQL data models and technologies
  • Scalable cloud-based computation platforms
  • Map-reduce and analogous platforms
  • Hadoop and Spark

Through a mix of one-on-one training, hands-on activities, success stories, and group learning, participants will set up and execute their own data science project, and use the newly learned knowledge and skills to solve real-world cases.

Your transformation

With the knowledge and experience gained during this course, you will be well-positioned to leverage data analysis to redefine your organisation’s approach to problem solving. You will also have the confidence to ask the right questions, identify the most pressing problems, and implement data-based solutions.

Moreover, thanks to your ability to make informed decisions, you will be able to lead your company’s transformation into an innovative, data-driven business.

Is this course for me?

The Data Science for Business Innovation course is designed for professionals looking to upskill in data science and/or implement data-driven decision-making into their organisation:

  • Innovation professionals from small to large organisations
  • Executives and middle managers
  • CEOs and CIOs of innovative start-ups
Data Science for Business Innovation
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All our courses are taught by some of the leading minds in academia, research, business, and industry. Our diverse faculty come from a range of backgrounds, and each brings a unique perspective to your learning experience.

Marco Brambilla

Politecnico di Milano


Marco Brambilla is a Full Professor of Web Science and Digital Innovation at the Department of Electronics, Information and Bioengineering of the Politecnico di Milano (Italy). He also leads the Data Science Lab. His research interests are on: Web Science, Big Data Analysis, Social Media Analytics to Model-driven Development. He currently teaches Enterprise ICT Architecture, Systems and Methods for Big and Unstructured Data, Web Science, Digital Innovation Lab, Model- driven Engineering.

He is the inventor of the Interaction Flow Modeling Language (IFML), a standard by the OMG, and of 2 patents on crowdsourcing and multi-domain search. He also founded two start-ups, Fluxedo and WebRatio.

Emanuele Della Valle

Associate Professor
Politecnico di Milano


Emanuele Della Valle holds a PhD in Computer Science from the Vrije University Amsterdam and a Master degree in Computer Science and Engineering from Politecnico di Milano. He is an Associate Professor at the Department of Electronics, Information and Bioengineering of the Politecnico di Milano.

In 20 years of research, his research interests covered Big Data, Stream Processing, Semantic technologies, Data Science, Web Information Retrieval, and Service-oriented Architectures. He started the stream reasoning research field, positioning it at the intersection between Stream Processing and Artificial Intelligence.


All participants receive an EIT Digital - Politecnico di Milano joint digital certificate of completion.

Discounts and Cancellation Policy

EIT Digital also offers a number of discounts:

ParticipantRegular fee

Early bird fee

(until 30 March)

Group fee

(min. 5 participants)

Non-Partner595 €505 €495 €/participant
EIT Digital Partner295 €245 €235 €/participant


If, for any reason, you have to cancel your registration, you can be fully refunded if you cancel 45 days or more prior to the start of the programme. For cancellations later than 45 days before the start of the course, the refund policy is as follows:

  • 15-45 days prior to the start of the course: 30% of the fee refunded
  • 15 days or less prior to the start of the course: no refund

Cancellations must be received in writing at

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Co-Funded by the European Union