KDDC 2EN14 - Data Science use cases in Business
KDDC 2EN14 · Spring semester 2025-2026
- Language of tuition
- English
- Course type
- Cours séminaire
- Number of hours
- 12
- Credits
- 2
Information
Description
This practical course is designed to introduce business students to the fundamentals of applied artificial intelligence (AI) using Dataiku DSS. With no prerequisites in data science, this hands-on class will equip students with the essential skills and knowledge needed to apply AI in real-world business scenarios. Through a series of interactive sessions and exercises, students will gain proficiency in utilizing Dataiku DSS, a powerful software platform for data science and machine learning.
Prerequisites
Minimum mathematics & statistics background.
Assessment
25% class participation & exercises completion (individual; classes 2 to 5); 25% quiz (individual; class 5); 50% final project and oral presentation (groups; class 6).
Readings
Main readings 2
-
Anti-manuel d’I.A, Vladimir Atlani, Eyrolles, 2024
-
Dataiku academy
Teaching units
| Unit no. | Unit type | Teaching units | Teachers | Number of hours | Credits |
|---|---|---|---|---|---|
| 57540 | Cours séminaire | Data Science use cases in Business | Gaëlle CAPLIER, Vladimir ATLANI | 12 | 2 |
| 57566 | Cours séminaire | Data Science use cases in Business | — | 12 | 2 |
Teachers
- Gaëlle CAPLIER
- Vladimir ATLANI
In the curricula
- 2025-2026 | Data et Digital S2ÉCOLE DU MANAGEMENT ET DE L'IMPACT (EMI)
Contacts and resources
- Contact
- JEROME Amélie