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