Data plays a central role in most organisations and data science can be a powerful enabler to uncover useful business insights and gain a competitive advantage. While recent advances in machine learning and the increasing availability of data present exciting opportunities, they also present new challenges for decision makers. Decision makers rarely have the time to educate themselves about the technical skills required to extract useful insights from data. What they need, is distilled information which will help them make informed decision as fast as possible.
This course introduces decision makers to key data science techniques and technologies and equips them with a set of skills to embed data science effectively in every facet of their organisation. The sessions will be hands-on and practice-oriented, providing a high-level overview of data science and covering concepts such as data sourcing, predictive analytics, data storytelling, tools, data security and machine learning. Participants will also explore case studies and best practices to uncover what works and what does not.
IntstructorsDr. Matthias Haber
ExamTo validate the 3 ECTS, students need to prepare readings (approx.. 200 pages), a pre-assignment if applicable, attend all sessions and prepare an assignment after the course.
CBS samarbejder med Hertie School i BerlinMPG har et samarbejde med Hertie School i Berlin. Det betyder, at du som MPG-studerende har mulighed for at følge et fag på et udenlandsk universitet, der kan indgå som et valgfag på MPG uddannelsen. CBS står for den officielle del af udvekslingsaftalen og den praktiske del i forhold til tilmelding. Du skal selv sørge for overnatning og transport.
Bemærk venligst at rettidig framelding til dette fag er 4 uger før undervisningsstart.
KarakterEksamen skal gennemføres på Hertie School i Berlin, for at resultatet kan gælde som en del af din MPG. Rent praktisk får du merit for faget i Berlin og det kommer til at fremstå som meritoverført på dit endelige eksamensbevis med bedømmelsen "bestået/ikke bestået".