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
2023/2024
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

Nadiia Ivanchenko
Department of Statistics, Information and Analytical Systems and Demography
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