INTRODUCTION TO DATA ANALYSIS

Code Cours
2324-IÉSEG-BA2S2-QMS-B2-CE04UE
Language of instruction
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
Présentiel
Cours interactif 16,00 12 sessions of 1h20 each
Travail personnel
Group Project 6,00
Charge de travail personnel indicative 10,00 Reading course documents + exercises
Autoformation
Recherche 5,00 Deepening the course content
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
Contrôle continu
Participation 0,00 1 10,00
Examen partiel 1,00 1 30,00
Autres
Projet Collectif 0,00 1 15,00
Examen (final)
Examen écrit 1,50 1 45,00
TOTAL 100,00

Ressources

Internet resources
Iéseg Online
Iéseg Online