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R - Datamining


incl. 19 % VAT


There are lots of tools that do Data Mining. But few of them can compete with R in terms of flexibility. This 3-day training gives you all you need for your first Data-Mining-Project with R.

Beginning with basic Data-Mining-workflows in R, you will get an good overview of the most important packages and tools for R. Multiple interactive exercises and real-world demonstrations will help you to internalize the basic steps of Data Mining: data exploration and management.

The second part of the training focuses on the most important methods for the analysis of Big Data. This includes clustering methods (K-Means, Hierarchical Clustering) and prediction models (Decision Trees, Neural Networks, Random Forests). You will learn how to apply, interpet and use these models using efficient R-implementations.


  • Data Mining Workflow (SEMMA)
  • Explorative Data Analysis and Data Management for Big Data in R
  • Unsupervised Learning: Clustering
  • Supervised Learning: Prediction Models
    • Decision and Regression Trees
    • Artifical Neural Networks
    • The concept of Ensemble Models and Random Forests


Students should have a basic idea of how to work with R. This would be covered in our training Explorative Data Analysis with R.