Data exploration and analytics IS-FCS-00091

Description:
Descriptive statistics, visualization of data.
Probability distributions (joint, marginal, conditional).
Modeling of interactions among variables, model selection.
Prediction and classification.
Discriminant analysis, logistic regression.

* Processing of data sets to discover previously unknown information.
* Various methodologies in the context of data classification, clustering, searching of associations and visualization: linear and nonlinear classifiers, hierarchical and non-hierarchical clustering algorithms, decision trees, neural networks, association rules.

Requirements: