INTRODUCTION TO DATA ANALYSIS

Code Cours
2324-IÉSEG-BA2S2-QMS-B2-CE04UF
Language of instruction
French, English
Teaching content
QUANTITATIVE METHODS
Training officer(s)
J.AMAR
Stakeholder(s)
Jennifer Amar
Matthieu Buisine
Level
Bachelor
Program year
Period

Présentation

Prerequisite
Basic knowledge in descriptive and inferential statistics (hypothesis testing)
Goal
At the end of the course, the student should be able to :
Understand the usefulness of data reduction methods and classification methods in management and in a professional context
Select a research question and master the appropriate techniques (factorial and classification analyses)
Use the statistical analysis software SPSS
Interpret data, assess the relevance of the results and make consistent decisions to tackle managerial issues
Produce a professional quality document and make a professional quality oral presentation
Presentation
I. Introduction to multivariate data analysis
II. Factorial analysis methods
III. Classification / Clustering methods

Modalités

Organization
Type Amount of time Comment
Face to face
Interactive class 16,00 12 séances d'1h20
Independent study
Group Project 6,00
Estimated personal workload 10,00 Lecture de documents de cours + exercices
Independent work
Research 5,00 Approfondissement du cours
Overall student workload 37,00
Evaluation
The evaluation contains: 1 mid-term, 1 final exam, 1 participation mark (student implication and behaviour, short oral presentations), 1 final group project (written report and intermediate oral presentations)
Control type Duration Amount Weighting
Others
Group Project 0,00 1 15,00
Final Exam
Written exam 1,50 1 45,00
Continuous assessment
Participation 0,00 1 10,00
Mid-term exam 1,00 1 30,00
TOTAL 100,00

Ressources

Internet resources
Iéseg Online
Iéseg Online