Statistical Methods for Market Research

2026/2027

Учебный год

ENG

Обучение ведется на английском языке

6

Кредиты

Кто читает:

Департамент больших данных и информационного поиска

Статус:

Курс обязательный

Когда читается:

4-й курс, 3 модуль

Преподаватели

Симонова Екатерина Андреевна

Слаболицкий Илья Сергеевич

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)

Course Contents

• A/B test
• difference-in-difference approach
• bootstrap
• logistic regression (simple, ordered and multinomial)

Assessment Elements

• Quizzes
  short in-class tests
• Midterm
• Project

Interim Assessment

• 2026/2027 3rd module
  0.2 * Quizzes + 0.25 * Project + 0.55 * Midterm

Bibliography

Recommended Core Bibliography

• Marketing research : an applied orientation, Malhotra, N. K., 2020

Recommended Additional Bibliography

• JMR: Journal of Marketing Research. Vol.LIV, N.6, , 2017
• Statistics for business and economics, Newbold, P., 2013

Authors

• SLABOLITSKII ILIA SERGEEVICH