The objective of this training program is to enable trainees to acquire the necessary skills in data science and machine learning to apply them to real-world problems in the business world.
This programme addresses the challenges of decision-making statistics. It is intended for professionals with a basic background in statistics who wish to update and enhance their knowledge to:
- Learn to manipulate computer tools for collecting and managing large volumes of data.
- Understand new machine learning concepts to support the company in data exploitation and decision-making.
- Develop the technical and practical skills of professionals in machine learning.
The courses offered in the program cover the main computer tools of data science (Python, databases, R, etc.) and classical and modern methods in machine learning (decision trees, random forests, neural networks, etc.).
The courses are divided into formal presentations and practical exercises.
A project application on a real case study, supervised by a professional tutor, is proposed to each trainee, spanning the three months of the program and culminating in an oral defense.
Contact
Email: badih.ghattas[at]univ-amu.fr
