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
2023/2024
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
Departments
The following departments are involved in teaching the above discipline