Statistical systems in business
Course: Economic analysis and statistics
Structural unit: Faculty of Economics
            Title
        
        
            Statistical systems in business
        
    
            Code
        
        
            2.1.1
        
    
            Module type 
        
        
            Вибіркова дисципліна для ОП
        
    
            Educational cycle
        
        
            First
        
    
            Year of study when the component is delivered
        
        
            2021/2022
        
    
            Semester/trimester when the component is delivered
        
        
            4 Semester
        
    
            Number of ECTS credits allocated
        
        
            3
        
    
            Learning outcomes
        
        
            PLO 4. Use professional arguments to convey information, ideas, problems and ways to solve them to specialists and non-specialists in the field of economic activity
PLO 6. Apply appropriate economic-mathematical and statistical methods and models to solve economic problems
PLO 9. To analyze the functioning and development of economic entities, to determine the functional areas, to calculate the relevant performance indicators of their activities
PLO 12. Identify sources of information and understand the methodology for determining and methods of obtaining socio-economic data, collect and analyze the necessary information, calculate economic and social indicators
        
    
            Form of study
        
        
            Distance form
        
    
            Prerequisites and co-requisites
        
        
            Know the methods of analysis of disciplines: "Statistics".
Be able to use software for processing large amounts of data and problem-oriented application packages.
        
    
            Course content
        
        
            The curriculum consists of two content modules: module - 1 "Automated Information Processing System", which discusses the principles of the application package MS Power BI Desktop: working interface, database management, creating links between databases, formula query language - DAX; module 2 - "Analytical Statistics", which reveals the methods of data visualization: construction of tables and graphs, the formation of a complex report, working with cloud services.
        
    
            Recommended or required reading and other learning resources/tools
        
        
            Planned learning activities and teaching methods
        
        
            The purpose of the discipline - is to master the methods of automation of statistical analysis. The educational task of the course is to study the main features of the MS Power BI application package in business process analysis.
        
    
            Assessment methods and criteria
        
        
            Forms of student assessment:
- semester assessment of 75 points maximum / 45 points minimum:
1. Participation in laboratory classes (speeches, practical exercises) - 15 points / 9 points;
2. 2 tests (topics 1-5 and 6-9) - each 20 points / 12 points;
3. Performing independent work - 20 points / 12 points.
- final assessment in the form of a test
        
    
            Language of instruction
        
        
            Ukrainian
        
    Lecturers
This discipline is taught by the following teachers
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The following departments are involved in teaching the above discipline