Course period: 2.
Year of study: 2.
Compulsory module

The main educational goal of the course is:

  • acquaint students with the principles, knowledge, main goals in the field of quantitative analysis and basic forecasting procedures,
  • acquaint students with the stages of implementation of quantitative analysis, types of methods and approaches to quantitative analysis and prognosis,
  • teach students to practically implement relevant analyzes and forecasting methods,
  • get acquainted with primary and secondary data sources that are suitable for the implementation of analyzes and forecasting in the field of trade and marketing,
  • gain knowledge about the possibilities of quantitative data processing using software products,
  • to teach students to correctly draw conclusions from realized analyzes and forecasting methods,
  • gain an analytical approach to solving economic problems that can applied to the field of economic practice.

Brief module description:

  • Basic approach s of quantitative analysis.
  • Analysis of qualitative and quantitative statistical variables.
  • Data processing and analysis, problem solving in data processing.
  • Inductive statistics.
  • Investigation of dependencies of qualitative and quantitative statistical variables.
  • Regression models.
  • Multivariate regression models.
  • Regression models and their use in forecasting.
  • One-factor analysis of variance (one-way ANOVA).
  • Multi-factor analysis of variance.
  • Nonparametric analysis of variance.
  • Presentation of the results of quantitative analysis.
  • Overview of other methods of quantitative research.