Statistical analytical systems
Course: Economic analysis and statistics
Structural unit: Faculty of Economics
            Title
        
        
            Statistical analytical systems
        
    
            Code
        
        
            3.2.1.2
        
    
            Module type 
        
        
            Вибіркова дисципліна для ОП
        
    
            Educational cycle
        
        
            Second
        
    
            Year of study when the component is delivered
        
        
            2021/2022
        
    
            Semester/trimester when the component is delivered
        
        
            3 Semester
        
    
            Number of ECTS credits allocated
        
        
            4
        
    
            Learning outcomes
        
        
            PLO 1. Formulate, analyze and synthesize solutions to scientific and practical problems
PLO 8. Collect, process and analyze statistical data, scientific and analytical materials needed to solve complex economic problems
PLO 10. Apply modern information technology and specialized software in socio-economic research and management of socio-economic systems.
PLO 17. Use modern educational and research technologies in the field of economics.
        
    
            Form of study
        
        
            Distance form
        
    
            Prerequisites and co-requisites
        
        
            1. The basis of the study of this discipline is the successful completion of courses related to statistical methods of data analysis.
2. Knowledge of statistics and econometrics.
3. Knowledge of application packages and the ability to work in them.
4. Basic knowledge of SQL and programming skills in SQL.
In turn, knowledge of this discipline contributes to the successful implementation of the analytical part of the dissertation, which will be the evidence of the scientific work, as well as writing scientific articles.
        
    
            Course content
        
        
            Getting acquainted with statistical programming and mastering the basic techniques of statistical analysis using SAS software, developing the ability to visualize and interpret results in order to identify trends and patterns of development and decision-making.
        
    
            Recommended or required reading and other learning resources/tools
        
        
            Planned learning activities and teaching methods
        
        
            The purpose of the discipline is to continue the formation of students' theoretical knowledge and practical skills in statistical programming to analyze the processes taking place in the economy and social sphere on the basis of the original data set to ensure the reliability of conclusions and recommendations. The educational task of the course is to develop practical skills of analysis of complex databases using SAS.
        
    
            Assessment methods and criteria
        
        
            Forms of student assessment:
- semester assessment of 60 points maximum / 36 points minimum:
1. Performing practical exercises 20 points / 12 points.
2. Test work №1 (topics 2-4) - 20 points / 12 points.
3. Preparation and defense of an individual program project - 20 points / 12 points.
- final assessment in the form of an exam
        
    
            Language of instruction
        
        
            Ukrainian
        
    Lecturers
This discipline is taught by the following teachers
                    Nataliia
                    
                    Kovtun
                
                
                    Department of Statistics, Information and Analytical Systems and Demography 
Faculty of Economics
            Faculty of Economics
Departments
The following departments are involved in teaching the above discipline
                        Department of Statistics, Information and Analytical Systems and Demography
                    
                    
                        Faculty of Economics