Syllabus

  1. Exploratory data analysis: visual and numeric tools
  2. Review of basic notions of statistical inference
  3. Applied regression modelling: linear and logistic regression
  4. Principal component analysis
  5. Cluster analysis and market segmentation
  6. Case studies: analysis of real datasets with the aid of R


Suggested reading

  • Jank, W. (2011). Business Analytics for Managers. Springer, New York
  • Afifi, A., May, S. and Clark, V.A. (2012). Practical Multivariate Analysis. Taylor and Francis, Boca Raton.