Бакалавриат
2026/2027
Статистические методы анализа рынка
Статус:
Курс обязательный (Прикладной анализ данных)
Где читается:
Факультет компьютерных наук
Когда читается:
4-й курс, 3 модуль
Охват аудитории:
для своего кампуса
Язык:
английский
Кредиты:
6
Контактные часы:
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)
