2023-2024 / STAT0078-1

Practice of statistical consultancy

Duration

20h Th, 20h Mon. WS

Number of credits

 Master in mathematics (120 ECTS) (Odd years, organized in 2023-2024) 4 crédits 
 Master in mathematics (60 ECTS) (Odd years, organized in 2023-2024) 4 crédits 

Lecturer

Marie Ernst

Language(s) of instruction

French language

Organisation and examination

Teaching in the second semester

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

This course aims at providing students with some tools for working on applied statistical problems, acting as a consultant for a non-statistician client.

 The course includes

  • the role and the posture of the consultant ;
  • good scientific practices and critical thinking ;
  • the appropriate use of statistics ;
  • softwares ;
  • the efficient communication of statistical methods and results ;
  • project management.
If possible, meetings with external professionnals will be organized.

Learning outcomes of the learning unit

The course discusses the role of the statistician consultant involved in data analysis projects and introduces some usefull tools in this context.

At the end of the course, the student will be able to write a correct statistical report and communicate results with non-statisticians. 

Prerequisite knowledge and skills

The course mainly concerns students from the Master in Mathematics who are interested in statistics.

Good knowledge in different fields of statistics is mandatory as a consultant is the statistical expert in projects. Therefore, courses of statistics from the Master in Mathematics are co-requisites.

A good knowledge and easy use of R and/or SAS statistical software is necessary. A self-study before the course may be required otherwise. 

Planned learning activities and teaching methods

The course consists in a series of lectures where an active participation of the students is expected. Case studies will be proposed and group work may be requested. A final project will be proposed to the students.

Mode of delivery (face to face, distance learning, hybrid learning)

Face-to-face course

Recommended or required readings

Required material will be provided via eCampus.

Exam(s) in session

Any session

- In-person

oral exam

- Remote

oral exam

Written work / report

Continuous assessment


Additional information:

The final score is a weighted average based on the results obtained in the following tests:

  • personal or group work during the term
  • report writing
  • oral presentation of the project
Note: the project and preparations are compulsory. If a student has not submitted every work, he/she will get an exclusion rating.

Work placement(s)

Organisational remarks and main changes to the course

The course is organised only on odd years: course in 2023-2024 (2025-2026 will be the next session).

 

Contacts

Marie Ernst

University Hospital of Liège, Biostatistics and Medico-economic Information Department (SIMÉ), Biostatistics and Research Method Center (B-STAT).

University of Liège, Department de Mathematics.

Mail : m.ernst@chuliege.be

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