SYLLABUS
Data Science Accelerator
An intensive, cloud-based Data Science bootcamp designed to help technical employees become autonomous and production-ready Data Scientists. The programme covers Python, data sourcing, Machine Learning, Deep Learning, Generative AI, RAG, MLOps and an end-to-end team project.
They are already training their teams with Le Wagon.
Data Science Accelerator
- Collect, clean and structure data using Python and cloud workflows.
- Explore datasets and identify meaningful patterns and insights.
- Apply regression, classification, ensemble models, clustering and time series.
- Work with Deep Learning and Transformer-based architectures.Integrate Large Language Models, embeddings and RAG pipelines.
- Deploy Machine Learning solutions using modern MLOps practices.Deliver an end-to-end Data Science project from problem framing to deployment.
- Communicate technical results and business impact effectively.
Immediate results thanks to a practice-oriented pedagogy.
Experience rapid skill development with hands-on training from industry experts and see immediate results as your team applies new skills directly to your projects.
Benefit from the experience of bootcamp n°1.
Get immediately usable skills thanks to 100% live learning in cohorts. Above all, it's practical: 80% of the bootcamp consists of hands-on application.
Learn from the best experts in Tech.
Choose the best teachers for your teams. They provide individual, personalised support and the progress of each employee is monitored in real time.
Aim for excellence in just a few days.
Aim for excellence by learning from your own data and from content that is contextualised to your company's challenges, whatever the subject.
Deploy at scale and with complete flexibility.
Train your employees anywhere in the world and at your own pace, online, on your premises or on one of our campuses.
"The Wagon has been an incredible adventure. Through this experience, I have learned so much about the Tech industry with the most qualified faculty and staff, a very large alumni network and resources that are extremely helpful when you are starting out in Tech.”
consulting, Software specialist.
Renault Group
Data Science Accelerator
- Collect, clean and structure data using Python and cloud workflows.
- Explore datasets and identify meaningful patterns and insights.
- Apply regression, classification, ensemble models, clustering and time series.
- Work with Deep Learning and Transformer-based architectures.Integrate Large Language Models, embeddings and RAG pipelines.
- Deploy Machine Learning solutions using modern MLOps practices.Deliver an end-to-end Data Science project from problem framing to deployment.
- Communicate technical results and business impact effectively.
Training actions: