Advanced Marketing Models

2023/2024

Academic Year

ENG

Instruction in English

3

ECTS credits

Delivered at:

Department of Management

Course type:

Compulsory course

When:

2 year, 1 module

Instructor

Pokryshevskaya, Elena B.

Course Syllabus

Abstract

The primary focus of this course if on quantitative models that can be used by managers to support marketing decisions. In addition to having conceptual skills, modern managers must increasingly master techniques of data-driven decision modeling to do strategic planning based on information from corporate information systems as well as external data sources. This course teaches how to apply econometric, machine learning and optimization techniques to marketing problems.

Learning Objectives

• Choose methods adequately corresponding to the objectives of a research project
• Collect, store, process and analyze data according to high standards
• Conduct empirical business research using modern analytic software tools
• Develop and apply new research methods
• Solve managerial problems using best practices of data analysis using modern computational tools

Expected Learning Outcomes

• Choose methods adequately corresponding to the objectives of a research project
• Collect, store, process and analyze data according to high standards
• Conduct empirical business research using modern analytic software tools
• Develop and apply new research methods
• Solve managerial problems using best practices of data analysis using modern computational tools

Course Contents

• Optimization modeling for Marketing
• Advanced Excel functions for analyzing marketing data
• Econometric modeling of scanner sales data

Assessment Elements

• Quizzes
• Empirical case studies solved in class
• Midterm exam based on Data camp
• Exam

Interim Assessment

• 2023/2024 1st module
  0.25 * Empirical case studies solved in class + 0.25 * Exam + 0.25 * Midterm exam based on Data camp + 0.25 * Quizzes

Bibliography

Recommended Core Bibliography

• Quirk, T. J., & Rhiney, E. (2016). Excel 2016 for Marketing Statistics : A Guide to Solving Practical Problems. Cham: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1261494

Recommended Additional Bibliography

• Chapman, C., & Feit, E. M. (2019). R For Marketing Research and Analytics (Vol. Second edition). Cham: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=2093001

Authors

• BUDKO VIKTORIYA ALEKSANDROVNA
• POKRYSHEVSKAYA ELENA BORISOVNA