“A good introduction to the world of applied data science”
The growing amount of data creates both opportunities and risks for businesses. The question in this era is about who has the data or not, says Marco Brambilla, Professor of Data Engineering and lead of the data science Lab at Politecnico di Milano, and teacher at the EIT Digital Professional School course Data Science for Business Innovation in an interview.
If you want to take the opportunities and avoid the risks of data science you should definitely sign up for the course Data Science for Business Innovation. You learn how to make informed decisions on data driven business, innovation paths and strategies. The online course is seasoned with use cases and success stories.
The executive course is designed to achieve two synergic goals: first, build a solid foundation in planning and managing data-centric projects to support data-driven business strategies and innovation paths within your enterprise and, second, learn how to set measurable goals that enable the alignment of business and technical perspectives.
The live sessions consist of interactive workshops and networking sessions where you will put in practice what you learnt on real-world cases, in collaboration with top managers from known companies from diverse sectors. You will experience a cross-disciplinary, cross-business innovation context where real problems and ideas are put on the table by high-valued executives, managers and business professionals, and a tailored and one-to-one interaction with world-renowned data science experts, with strong academic background and extensive industrial and educational experience.
The blended masterclass is developed for:
Our Data Science for Business Innovation course is designed for managers and business leaders looking to implement data-driven decision making into their organisation:
- Executives and middle managers
- Innovation leads within large and mid-size organisations
- CEOs and CIOs of innovative start-ups and small businesses
Read the entire interview with Marco Brambilla: Who has the data and who has not? That is the question!