Statistical methods in marketing research
Course: Economic analysis and statistics
Structural unit: Faculty of Economics
Title
Statistical methods in marketing research
Code
2.1.5.
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
6 Semester
Number of ECTS credits allocated
5
Learning outcomes
PLO 6. Apply appropriate economic-mathematical and statistical methods and models to solve economic problems
PLO 11. Apply the acquired theoretical knowledge to solve practical problems and interpret the results
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
PLO 13. Be able to work both independently and in a team
Form of study
Distance form
Prerequisites and co-requisites
1. Know: the basic principles of the theory of micro- and macroeconomics, the basic principles of enterprise operation, methods of mathematical statistics and probability theory, basic statistical methods of data analysis, models and methods of econometrics, methods and tools of marketing research, applied data processing programs.
2. Have the skills of statistical data processing and visualization.
Course content
Combining managerial competencies with the ability to process large data sets, make management decisions based on them, create new information and build business models based on them is the most pressing demand of the modern global market. The course "Statistical Methods in Marketing Research" will help to systematize and deepen knowledge about the types of data and certain methods of data analysis, as well as learn to analyze data and draw correct conclusions about the identified patterns using MS Excel and SPSS.
Recommended or required reading and other learning resources/tools
Planned learning activities and teaching methods
The purpose of the discipline - the formation of students' holistic system of knowledge to determine the impact of key parameters and characteristics of the marketing environment of the enterprise, indicators of performance and effectiveness of its marketing activities to justify appropriate management decisions, as well as gaining practical skills in integrated marketing data analysis tools and forecasting the development of major market processes, phenomena and individual characteristics.
Assessment methods and criteria
Forms of student assessment: (max. 100 points / min. 60 points)
1. Laboratory work (10 works involving the performance of practical tasks by the student and the performance and defense of individual (homework)) - 5 points / 3 points for each.
2. 2 modular tests each of 20 points / 12 points.
4. Independent work - 10 points / 6 points.
Language of instruction
Ukrainian
Lecturers
This discipline is taught by the following teachers
Yaroslava
Popliuiko
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