1BTCS23 — Using Generative AI Responsibly in Professional Practice

• Academic year: 2025-2026
• Category: Applied Statistics / Data Analysis
• Max. duration: 18h

This training program provides a progressive and practical introduction to generative AI, from core concepts and limitations to real-world professional uses. Participants first learn what generative AI is, how it works at a high level, and why critical thinking is essential when using it. The course then explains the basic principles behind neural networks and large language models without technical formalism. Finally, students apply these tools in realistic marketing contexts, learning how to use generative AI responsibly for strategy design and content production while keeping human judgment at the center of decision-making.

FR-CCN-OI1-GB1S1 / PAREO University Diploma — Computing tools

• Academic year: 2025–2026
• Category: Applied Statistics / Data Analysis
• Max. duration: 12h

The objective is to acquire digital literacy and a mastery of the main computing tools, enabling students to work optimally within a professional context.

FR-CCN-ST1-GB1S1 — Statistical and Computing Tools 1

• Academic year: 2025–2026
• Category: Applied Statistics / Data Analysis
• Max. duration: 12h

FR-CCN-ST4-GB3S1 — Statistical and Computing Tools 4

• Academic year: 2025–2026
• Category: Applied Statistics / Data Analysis
• Max. duration: 24h

The objective is to observe how, based on simple experimental measurements, the mechanisms of natural variability and progressive drift can be highlighted within a real-world agri-food production context.

FR-CCN-L3GMS1 — Digital Culture and Skills (PIX Certification)

• Academic year: 2025–2026
• Category: Applied Statistics / Data Analysis
• Max. duration: 24h

This course prepares Economics/Management students for data analysis using Python (pandas, matplotlib) within the Google Colab environment. It covers the reading, exploration, and visualisation of economic datasets (INSEE, Eurostat). The sessions also address the processing of unstructured data. A portion of the course is dedicated to Prompt Engineering and the use of generative AI to produce and validate economic analyses. The final objective is the professional structuring of economic reports and sectoral analysis based on concrete case studies.