Computer Based Data Analysis ZSU03119

Course content:
Preparation of data for analysis. Methods for data visualization, graphical method of presentation of multidimensional data. Rules for the use of selected modules of STATISTICA with examples of applications for the analysis of economic data and marketing: analysis of variance, regression method, factor analysis, cluster analysis, taxonomic issues.
Learning outcomes:
student efficiently uses the terminology associated with a statistical analysis of the data
identifies the student knows the principles of construction and assumptions of selected methods of statistical data analysis
student can prepare the data for analysis to be carried out
student selects the appropriate methods of statistical data analysis and checks założonia their application and performs calculations using the statistical package
student interprets the results of the statistical analysis of the data
students can work together in a team and lead the analysis of individual