Introduction Project Planning Sample Selection Gathering and Preparing Data Understanding Relationships In Data Data Pre-Processing Model Construction (Parameter Estimation) Validation, Model Performance and Cut-off Strategy Sample Bias and Reject Inference Implementation and Monitoring Further Topics Bibliography