Big Data Analytics

Lecturer Prof. Dr. Philipp Baumann
Content
  • Introduction to software R
  • Data collection, sampling, and preprocessing
  • Scalable methods and infrastructure for descriptive, predictive, and social network analytics
  • Applications in Finance, Marketing, and Operations
Further information KSL (Lecture)

KSL (Exercise)

Detailed information (PDF, 172KB)

Evaluation results Fall semester 2016 (PDF, 42KB)