Бакалавриат 2023/2024

Статистические методы анализа рынка

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, 2, 3 модуль

Формат изучения: без онлайн-курса

Охват аудитории: для своего кампуса

Преподаватели: Касьянова Ксения Алексеевна

Язык: английский

Кредиты: 5

Контактные часы: 68

Course Syllabus

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

• • gaining experience in using statistical software packages
• knowing how to interpret output from statistical software and drawing appropriate conclusions
• designing a market research project

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

• A/B testing
• Bootstrap
• Variance reduction
• Diff-in-diff
• Contingency tables
• ANOVA
• LDA
• CFA
• Cluster analysis
• Conjoint Analysis

Assessment Elements

• Homework
• Exam 1
• Exam 2
• Bonus activities

Interim Assessment

• 2023/2024 2nd module
  Fall Grade = 0.4*Homework + 0.6*Exam 1 + 0.1*Bonus activities
• 2023/2024 3rd module
  Final Grade = 0.5*Fall Grade + 0.2*Homework + 0.3*Exam 2 + 0.1*Bonus activities

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