Course date: 07.02.2023

Venue of the course: Trenčín (Slovak Republic)

Form of the course: face-to-face, online

Course price: 590  €

Difficulty level: basic

 

OBJECTIVE OF THE COURSE​

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The aim of the course is to acquire basic knowledge and skills in statistics in order to obtain a true and credible picture of the company's performance, its sales, costs, etc. The experience gained in analyzing the strength and importance of dependence between variables can lead to better knowledge between intercompany activities, to the identification of risk links between variables and, consequently, to the elimination of crisis situations and better management of risks in the company.  

 

ASSUMPTIONS FOR THE COURSE

 

The course does not require any special computer skills or more sophisticated statistical software. MS Excel is required to complete the course. 

 

COURSE BENEFITS

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The basic benefits of the course include: 

• the content of the course is based on empirical analyzes of the real requirements of companies for their processing (time distribution: 20% theory; 80% examples);

• study materials in electronic and printed form;

• examples to verify acquired knowledge; 

• consultations with the lecturer on problems from business practice related to the course topic during and also after completing the course;

• completion of the course in various forms: individually or in smaller groups; directly in the company upon agreement; 

• obtaining a certificate of completion of the course.

 

COURSE CONTENT

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• Statistics as a tool for achieving the company's stated goal. Formulation of the goal and assumptions (hypothesis); successive steps leading to their evaluation.  

• For what purpose and what data and in what form should the company prossess? Possibilities of using selected methods in business practice.

• Use of descriptive statistics for business needs. Meaning and rules for data visualization using graphs. Selected types of graphical analysis (Bar, pie and line graphs, seasonality graph, box graph, histogram). Basic tables of absolute and relative frequency (calculation, interpretation).

• Definition of terms – variable, analysis, dependence, quantitative vs. Qualitative analysis. Analysis of dependence between categorical and quantitative variables. Calculation of correlation coefficients and correlation matrix. 

• Measures of dependence between qualitative variables (calculation, economic interpretation). Verification of their statistical significance. 

• Dependence between quantitative variables. Types of correlation coefficients (pair, partial, multiple). Verification of statistical significance of correlation coefficients (calculation, economic interpretation).