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Training objectives:

• Provide a basic understanding of the main statistical methods used to build, analyze and use models

• Learn how to apply these methods in real-life situations through examples and practical work with R software, enabling participants to apply these methods to their own models

Public:

• Engineers and researchers (ITA, INRAE, etc.) working with models for agronomy or livestock production
• PhD students in agronomy and ecology with a modeling component in their research project

Prerequisites: Sufficient knowledge of R software and use or design of models in your work.
Registration is validated by a questionnaire.

Reduced rate of €1,100 for PhD students funded or accredited by the #DigitAg - Agriculture Numérique convergence institute. For registrations before March 31, 2024, benefit from a reduction of €150 excluding VAT, i.e. €950 excluding VAT.

Find out more on the Acta website