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.
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.
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.
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
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.
Politecnico di Milano
Emanuele Della Valle
Politecnico di Milano
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."
Managing Director, Communication Progress
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."
UX Research Lead, Frontira
Eager to learn more and become a data driven enterprise of the future!"
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
|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.
CANCELLATION BY EIT DIGITAL
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 email@example.com if a replacement will be attending and provide all relevant information about the replacement participant.