25 August 2017
This course aims at getting hands-on experience in diverse managerial decision processes using available data.
We will learn tools to discover patterns and relationships in data: explore, analyze and leverage data and turn it into valuable, actionable information for a company. Data are analyzed with various techniques, from visualization tools to modern data mining tools to extract information from them. We then use the information to support the decision making processes.
The set-up is a few lectures with theory and most of the time we will be working on cases; applying up-to-date data mining techniques on real-life problems. These techniques will be implemented with modern software tools (SAS, SPSS modeler, Tableau).
The course aims at getting hands-on experience in analysing managerial decision processes, based on available data from real-life cases. This involves the development of the following skills:
• Be able to collect and analyse data
• Demonstrate up-to-date academic knowledge on data mining methods.
• Be able to translate a problem from practice into a research question, and to develop a strategy to answer this question
• Establish a meaningful link between a problem from practice and an academic approach
• Be able to enrich an academic discussion of a practical problem by insights from related disciplines
• Be able to propose solutions based on a well-grounded academic reasoning
• Learn to work in international tutorial groups in a PBL setting, inspire the discussion, and come to solutions and the more generic skills
• Be able to write an extensive report in a clear and well-structured way
• Demonstrate a professional attitude
• Be able to present a complex matter in a precise, understandable way
EUR 800: Course