The supervision process is important in this, because it creates a safe space to tailor educational needs to each different project and student. Students use the real-life business opportunities they get in the course to explore the angle of the project that most appeals to their natural curiosity. If they are inclined to a specific data science south korea rcs data technique that is appropriate for the data they are working with, the supervision provides opportunity to explore these new directions, learn about how they can improve their knowledge and translate intuitions into business value. With the right theoretical toolbox and supervision to support their learning, this gives students the possibility to tailor the projects in the In Action series to the future career they envision.
Naomi Moonen is a PhD Candidate at Jheronimus Academy of Data Science. Science degree in data science and entrepreneurship. Her research explores digital health platforms that try to disrupt the traditional healthcare sector. She focuses on the unique characteristics of platform companies and the strategic implications that these characteristics have for the companies and their entrepreneurs. She is interested in constructing novel datasets by using web scraping and analyzing these with data science techniques such as natural language processing.
Claudia Zucca is an Assistant Professor in organizational networks at the Jheronimus Academy of Data Science, Tilburg University where she is part of a a dynamic approach to teaching data-driven entrepreneurship. She previously worked as a post-doctoral researcher at the University of Glasgow. Her research focuses on data analytics, especially network analysis, applied to the social science domain, such as forming political opinions, introducing innovation in organizations, and health policy implementation.