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
Learn more


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 at Politecnico di Milano (Italy). Marco Brambilla is a full Professor at Politecnico di Milano. He is active in research and innovation, both at the industrial and academic level, on data-driven innovation. His research interests include data science, data modeling and AI, crowdsourcing, social media monitoring, and big data analysis. He has been a visiting Researcher at CISCO, San Josè, and UCSD, and a visiting Professor at Dauphine University, Paris. 

He is co-founder of three startups and co-authored over 300 articles and books. He was awarded various best paper prizes and gave keynotes and speeches at many conferences and organisations. He leads several research projects on data science and big data and he is the main author of the OMG standard IFML.

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.


Gentian Likaj"I have recently completed the Data Science course, and I can confidently say that it was an incredible learning experience. The course had a well-structured curriculum that covered all the essential topics and provided me with a comprehensive understanding of the principles, tools, and techniques involved in data science.

The course also emphasised the importance of collaboration and teamwork. Group projects and discussions with other students fostered a collaborative learning environment, where we could share ideas, learn from each other's perspectives. The instructors ‘approach was very practical, were knowledgeable and passionate, always ready to assist and clarify any doubts. They presented the material in a clear and engaging manner, making complex concepts easy to grasp. The Data Science course fully-matched my expectations, equipped me with practical skills and helped me. I would highly recommend this course to anyone aiming to enhance the data analysis skills."

Gentian Likaj
Managing Director, Communication Progress
Miklós Máder"I highly recommend the Data Science for Business Innovation and Big Data course to anyone looking to gain a comprehensive understanding of the field. This course exceeded my expectations with its insightful content and practical applications of mathematics and business reasoning. The curriculum covered a wide range of topics, including data analysis, predictive modeling, providing wide overarching insights on these border areas.

The hands-on projects and real-world case studies enhanced my experience, allowing me to apply concepts of data insights in a meaningful way. This course performed a connecting function, and I'm grateful for the invaluable knowledge gained."

Miklós Máder
UX Research Lead, Frontira
"After many years of collecting data from our day-to-day business in the payments industry, the Data Science course taught me the necessary tools to exploit the best out of BigData and set up our data-centric decision-making strategy. In the first couple of weeks after the workshop, we are already benefiting from the learnings we took during those two days.

Eager to learn more and become a data driven enterprise of the future!"

Linda Shomo
Founder & CEO, EasyPay


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


EIT Digital also offers a number of discounts:


Early Bird Tuition
20 September 2023

Regular Tuition
20 October 2023

Group fee
(min. 3 participants)

Non-Partner 505 € 595 € 495 €/participant
EIT Digital Partner 245 € 295 € 235 €/participant



If, for any reason, you need to cancel your registration, you will be eligible for a full refund if you cancel at least 15 days before the course start date. For cancellations made later, a 50% refund will be provided. 

Cancellations must be received in writing at


In the event that a course is cancelled (force majeure, insufficient enrollment), you will be eligible for a full refund of any fees already paid.


A replacement participant from the same organisation may attend the same course without incurring additional costs. Please inform us at if a replacement will be attending and provide all relevant information about the replacement participant.

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Co-Funded by the European Union