CDA provides (high level) analysis of data (data in a broad context), and particular focus lies on the analysis of Big Data, Prediction, Forecasting, Causality, and the Quality aspects of data. Some simple demonstrations of data analysis (using R and Python) can be found via the Demo link on the left-hand side. This data analysis is enabled by the methods of AI, Machine Learning, Decision Trees, Neural Networks, Random Forrest, Bayesian classifiers, etc.

Teaching is central to CDAs activities, and the students are offered a modern and exciting education in Statistics, Econometrics, and Data Science. Parts of our research is integrated in the teaching, and the practical importance of statistics, econometrics and data science, using authentic examples, is emphasized.