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Course Syllabus

Bachelor 2022/2023

Statistical Methods for Market Research

Type: Compulsory course (Data Science and Business Analytics)
Area of studies: Applied Mathematics and Information Science
Delivered by: Big Data and Information Retrieval School
Where: Faculty of Computer Science
When: 4 year, 1-3 module
Mode of studies: offline
Open to: students of one campus
Instructors: Boris Demeshev, Ksenia Kasianova
Language: English
ECTS credits: 6
Contact hours: 104

Course Syllabus

Full 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

Learning Objectives

  • Students will expand their knowledge about Statistics and its market application
Expected Learning Outcomes

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

Course Contents

  • # Module 1
  • # Module 2
  • # Module 3
Assessment Elements

Assessment Elements

  • non-blocking Home assignments
  • non-blocking December exam
  • non-blocking Final exam
Interim Assessment

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

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