EIT Digital, as part of the EDIH Madrid Region, is thrilled to offer the course Data Science for Business Innovation for all professionals in the Madrid region who need to structure a data-centric project. This is a great opportunity for all Innovation professionals, managers, CEOs and CIOs of innovative companies in the Madrid region.
Data Science for Business Innovation looks at the tools to make the most of BigData, how to achieve business goals and create value, and how different lines of business and staff need to communicate effectively with technical data analytics teams in a business environment. This edition of the course has a particular focus on the mobility industry but is open to professionals from all sectors.
What you will gain
The core of the course will be learning how to manage data-centric projects to support business strategies and innovation projects using an innovative tool, the Goal Poster. Participants will explore how the entire data value chain management is used, from data collection to machine learning techniques and data visualisation, to implement the right actions and data-driven decisions.
Learning Objectives:
- Organise data-centric projects to support business strategies and innovation projects.
- Master the entire data value chain, from data collection to the application of machine learning and data visualisation techniques.
- Implement appropriate actions and guide decisions.
- Translate business needs into technical issues with the Goal Poster methodology.
The Data Science for Business course focuses on the mobility sector through hands-on case studies. It teaches professionals to structure data-centric projects for mobility challenges, leveraging Big Data effectively. The course will foster collaboration by emphasising communication between business lines and data teams. Participants will master the data value chain from collection to analysis, making data-driven decisions in the mobility industry.
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 problem-solving approach. You will also be confident to ask the right questions, identify the most pressing problems, and implement data-based solutions.
Data-driven Innovation
- Self-definition and learning objectives
- Data-driven decisions and projects
- Self-Positioning on a Data Science process
- Principles and motivations of data engineering and data science
Define and Realise a Data-centric Project
- Formulation of a data-centric problem
- Principles of data science project management
- The Goal Poster methodology
- Group work (part 1): Setting the goal
- Data science metrics
- Group work (part 2): Questions, metrics and actions
Data Visualisation & Data Storytelling
- Visual and cognitive perception
- Gestalt principles
- Group work (part 3): designing a wireframe for the Goal Poster
Risks & Challenges of Data-centric Projects
- Challenges and risks in data science projects
- Group work (part 4): Data risks
- Examples of data-driven projects
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
- Executives and middle managers
- CEOs and CIOs of innovative start-ups
Lecturers
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
Professor
Politecnico di Milano
Marco Brambilla
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.
Testimonials
"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
"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
Eager to learn more and become a data driven enterprise of the future!"
Linda Shomo
Founder & CEO, EasyPay
Certificate
All participants receive an EIT Digital - Politecnico di Milano joint digital certificate of completion.
