Статистические методы анализа рынка

Бакалавриат 2022/2023

Статус: Курс обязательный (Прикладной анализ данных)

Направление: 01.03.02. Прикладная математика и информатика

Кто читает: Департамент больших данных и информационного поиска

Где читается: Факультет компьютерных наук

Когда читается: 4-й курс, 1-3 модуль

Формат изучения: без онлайн-курса

Охват аудитории: для своего кампуса

Преподаватели: Демешев Борис Борисович, Касьянова Ксения Алексеевна

Язык: английский

Кредиты: 6

Контактные часы: 104

Full Syllabus Ask Question

Abstract

This course concentrates on transforming students into competent and confident users of statistical software to enable them to conduct independent data analysis by taking a more applied approach to conventional statistics. The first half of the course focuses on aspects of market research, and in the second half the emphasis is on the practical application of a variety of multivariate statistical techniques to supplied datasets.

Learning Objectives

Students will expand their knowledge about Statistics and its market application

Expected Learning Outcomes

Students will gain ample knowledge of Bootstrap, Welch test, Mann-Whitney test, CUPED, The difference in Difference estimator, Matching, Multiple comparison.
Students will gain ample knowledge of Discriminant analysis, LOGIT, PCA, Factor analysis, Cluster analysis, Dendrogramms, Conjoint Analysis and Multidimensional scaling.
Students will gain ample knowledge of Sampling, Sample size calculation, Contingency tables, Chi-squared tests, ANOVA, ANCOVA and Partial correlation.

Course Contents

# Module 1
# Module 2
# Module 3

Assessment Elements

Home assignments
December exam
Final exam

Interim Assessment

2022/2023 2nd module
0.4 * Home assignments + 0.6 * December exam
2022/2023 3rd module
Final grade = 0.5 * Fall grade + 0.2 HA + 0.3 * Final exam

Bibliography

Recommended Core Bibliography

Malhotra, N. K. (2017). Marketing Research. [N.p.]: Pearson. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1531280

Recommended Additional Bibliography

Newbold, P., Carlson, W. L., & Thorne, B. (2013). Statistics for Business and Economics: Global Edition (Vol. Eight edition). Boston, Massachusetts: Pearson Education. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1417883

Authors

Галевская Софья Андреевна

Course Syllabus