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Marketing Data Analysis - course description

General information
Course name Marketing Data Analysis
Course ID 14.2-WP-SOC-ADM
Faculty Faculty of Social Sciences
Field of study WNS - oferta ERASMUS / Sociology
Education profile -
Level of studies Second-cycle Erasmus programme
Beginning semester winter term 2021/2022
Course information
Semester 1
ECTS credits to win 3
Course type obligatory
Teaching language english
Author of syllabus
  • dr hab. Dorota Szaban, prof. UZ
Classes forms
The class form Hours per semester (full-time) Hours per week (full-time) Hours per semester (part-time) Hours per week (part-time) Form of assignment
Class 30 2 - - Credit with grade

Aim of the course

Presentation of various methods and techniques of qualitative and quantitative marketing data analysis. The course is step-by-step guide how to deal with data from marketing research and how to present the results of those research.

Prerequisites

Completed any of research methods and data analysis course

Scope

Basic principles of marketing data analysis; Marketing data analysis – correlations, differences; Public marketing databases;  Interpretation of collected marketing data; Rules of marketing data analysis. Preparing data for analysis. Preparing report based on marketing data analysis.

Teaching methods

Academically supervised student-governed problem oriented project work.

Multimedia learning process – using Power Point presentations

Class/group project.

Problem solving or case studies

Learning outcomes and methods of theirs verification

Outcome description Outcome symbols Methods of verification The class form

Assignment conditions

Individual assessment based on active participation during the course.

Group-Project report plus group oral defense of the project report.

Recommended reading

  1. Gilbert A. Churchill, Basic marketing research, 2000

Further reading

  1. Groves R. M., Fowler F.J. and others, Survey Methodology, 2004.

Notes

*The subject can be run every semester, in case there is not enough persons to make a group there will be individual class run during instructor hours.


Modified by dr Magdalena Pokrzyńska (last modification: 15-04-2021 19:17)