Introduction Definition of basic terms General Processing Steps Visualization of data Data preprocessing Univariate Data Measures of location Measures of variation Distributions Statistical Tests Hypothesis testing Comparing mean values Comparing variances Comparing distributions Outlier tests Bivariate Data Correlation Regression Time series Calibration Multivariate Data Basic knowledge Optimization Modeling Classification Math Background Vectors Matrix algebra Exercises References