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IESEG School of Management ( IÉSEG )

Code Cours :



Niveau Année de formation Période Langue d'enseignement 
Professeur(s) responsable(s)E.DESOUCHE
Intervenant(s)Christophe DERAMBURE, Eugeni GENTCHEV, Rizwan MUSHTAQ

Pré requis

This course is intended primarily for an audience with no training in statistics and yet confronted repeatedly with the handling and analysis of data sets.
No prerequisites in mathematics is required except knowledge of basic math operations. Desire, curiosity and tenacity will allow to the student to keep under control the concepts, apparently complex, but which remain relatively simple. The using of Excel will be a good way to discover main concepts and definition.

Objectifs du cours

At the end of the course, the student should be able to handle:
- to present, describe, summarize the essential characteristics of a data set and bring out the information objectively
- He should therefore be able to describe the data, sort it, summarize it by key values (mean, standard deviation, for example), and summarize it in the form of tables or graphs
- He should be able to realize that the study description and summary is made on the population studied, and there is no extrapolation to a larger population (objective of inferential statistics) (distinguish between sample/population)
- Finally, he should be able to manipulate data sets, read statistical reports and make good use of appropriate methods to avoid false interpretation of numbers, that is to say to make an exact interpretation

Contenu du cours

Concepts and statistical methods will be addressed through numerous
examples that will be enriched by exercises mainly done in Excel

Chap 1 Introduction and Data Collection
Chap 2 Presenting Data in Tables and Charts
Chap 3 Numerical Descriptive Measures
Chapters of Probability
Chap 4 Basic Probability
Chap 5 Some Important Discrete Probability Distributions

Modalités d'enseignement

Organisation du cours

TypeNombre d'heuresRemarques
Face to face
Interactive class48,00  
Independent study
Group Project24,00  
Estimated personal workload40,00  
Charge de travail globale de l'étudiant112,00  

Méthodes pédagogiques

  • E-learning
  • Research
  • Project work
  • Interactive class
  • Coaching


The student will be evaluated on his knowledge, through 2 MCQ, an exam and a project of descriptive statistics, which will be defended by the student during an oral defense.

Type de ContrôleDuréeNombrePondération
Continuous assessment
Mid-term exam2,00125,00
Final Exam
Written exam2,00140,00
Individual Project0,00125,00
TOTAL     100,00


  • ANDERSON, SWEENEY, WILLIAM, Essentials of statistics for Business and Economics, de Boeck -

Ressources internet

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