Analytical business statistics
Course: Educational and professional program "Business Consulting"
Structural unit: Faculty of Economics
            Title
        
        
            Analytical business statistics
        
    
            Code
        
        
            ОК 09
        
    
            Module type 
        
        
            Обов’язкова дисципліна для ОП
        
    
            Educational cycle
        
        
            Second
        
    
            Year of study when the component is delivered
        
        
            2021/2022
        
    
            Semester/trimester when the component is delivered
        
        
            2 Semester
        
    
            Number of ECTS credits allocated
        
        
            3
        
    
            Learning outcomes
        
        
            LO7. Choose effective methods of managing economic activity, substantiate the proposed solutions on the basis of relevant data and scientific and applied research.
LO8. Collect, process and analyze statistical data, scientific and analytical materials necessary for solving complex
economic tasks, implementation of consulting activities.
LO11. Determine and critically evaluate the state and trends of social and economic development, form and analyze models of economic systems and processes.
LO12. To substantiate management decisions regarding the effective development of business entities, taking into account goals, resources, limitations and risks.
LO13. Assess possible risks, socio-economic consequences of management decisions.
        
    
            Form of study
        
        
            Distance form
        
    
            Prerequisites and co-requisites
        
        
            1. Know: the basic principles of modern theory of micro- and macroeconomics, the basic principles of enterprise functioning, methods of mathematical statistics and probability theory, modern information technologies in the economy, methods of descriptive business statistics.
2. Possess: applied data processing programs, statistical processing and data visualization skills, working with the legal framework, statistical techniques and methods of processing large data sets, and systemic analytical thinking skills.
        
    
            Course content
        
        
            The content of the discipline is revealed in the following topics: the study of the features of planning and formation of random sample populations, as well as the economic interpretation of their results in order to establish trends and patterns of development and make management decisions; verification of discrepancies for several samples characterizing business processes; statistical measurement of various types of relationships in the analysis of business processes; multiple regression and features of its application in business processes; modeling of business processes over time; non-parametric methods in the analysis of business processes; application of statistical methods for qualitative data characterizing business processes; statistical methods of quality control.
        
    
            Recommended or required reading and other learning resources/tools
        
        
            Planned learning activities and teaching methods
        
        
            Lecture, practical lesson, independent work
        
    
            Assessment methods and criteria
        
        
            1. Participation in work at practical classes (presentation of completed situational analysis in small groups and independent performance of practical exercises) - 20 points / 12 points.
2. Control module work - 20 points / 12 points.
3. Execution of an independent individual calculation project - 20 points / 12 points.
- final evaluation in the form of an exam. The maximum score is 40 points, the threshold score is 24 points. The exam is held in written form and consists of calculation tasks.
        
    
            Language of instruction
        
        
            Ukrainian
        
    Lecturers
This discipline is taught by the following teachers
Departments
The following departments are involved in teaching the above discipline