A clear picture of the business opportunities and a library of intelligent algorithms are not enough to develop a data-driven solution. A thorough understanding of the quality of the available data and the interesting information it contains is equally important in order to derive viable working hypotheses about the underlying mechanisms of the problem under investigation. In this webinar, various approaches to such data exploration are discussed, with a particular focus on numerical and visual techniques.
This webinar is part of the Mastercourse 'Data Innovation' 2021, and can be followed as a stand-alone session or in combination with other sessions provided in this mastercourse.
- First session: 9 Febuary 9:30 - 12:00
- Second session: 12 February 9:30 - 12:00