Bachelor
2026/2027
Statistical Methods for Market Research
Type:
Compulsory course (Data Science and Business Analytics)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
4 year, 3 module
Open to:
students of one campus
Language:
English
ECTS credits:
6
Contact hours:
60
Course Syllabus
Abstract
In this course, we understand market analysis as a set of various probabilistic, statistical, econometric and stochastic methods that help to solve real applied problems. Classical approaches of data analysis do not always work properly in reality. There is a need to explore other methods (often more complex and advanced). We introduce some of such tools which can be applied in practice and, in our humble opinion, are extremely important and useful.
Learning Objectives
- to learn how various advanced probabilistic, statistical, econometric and stochastic techniques can be applied to the real business problems
Expected Learning Outcomes
- a student can perform an A/B test
- a student can apply a difference-indifference approach
- a student can apply bootstrap techniques
- a student can work with logistic regressions (simple, ordered and multinomial)
