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Montag, 26. Juni 2017
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VHB Gruppe




79. Pfingsttagung des VHB

7. bis 9. Juni 2017 in St. Gallen




Wissenschaftliche Kommissionen

Data Science



The course is targeted at PhD students and young researchers who want to apply data science methods in their research. It covers various data preparation, statistical modeling, and visualization techniques for extracting knowledge from the vast and complex data sets that have emerged in business over the past years. Topics include supervised learning for regression and classification (linear and non-linear models), unsupervised learning (e.g., clustering, dimensionality reduction), and text mining (e.g., topic modeling, sentiment analysis). The focus is on applying these techniques as tools in design-oriented or quantitative empirical research projects. The classes consist of a mix of conceptual lectures, hands-on labs with R, and discussions of research papers.


Date of Event:

9. - 12. Oktober 2017




Mannheimer Straße 11 – 13

D – 60329 Frankfurt am Main




Dr. Oliver Müller, Associate Professor (IT University Copenhagen)



Please use the registration form or send an email to prodok(at)vhbonline(dot)org.