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Curious about the difference between Data Science, Data Engineering and Data Analytics? Turn your interest in data into a clear path.
Understand how each of our bootcamps prepare you for a distinct role in the data ecosystem, and choose the program that matches your goals.

👤 This session is for you if:

  • You are an engineer or a developer and want to apply your coding skills to data analysis or Machine Learning
  • You work as a data or business analyst and want to move toward a Data Scientist role
  • You work in finance, marketing or sales and want to strengthen your data skills to make better, evidence-based decisions
  • You want to understand the difference between our Data bootcamps before choosing your next step

🎯 On the agenda:

  • Le Wagon Data intensive courses: What’s the difference in skills, tools, and career outcomes?
  • Our learning formats: full-time, part-time, on-campus, online
  • Our learning environment: Kitt, Le Wagon’s educational platform
  • Career support: portfolio projects, job search guidance, and alumni network
  • Funding options: financial assistance, and payment plans
  • Live Q&A: Ask all your questions

Admissions are closing soon for our next sessions:
Data Analytics 📊 | Online / Hybrid
Full-time: April 13 → June 12, 2026
Part-time: July 4 → Dec 11, 2026
Data Science & AI 🤖 | Online / Hybrid
Full-time: April 13 → June 12, 2026
Part-time: July 4 → Dec 11, 2026
Data Engineering 🤖 | Online / Hybrid
Part-time: Sep 4 → Dec 11, 2026

Related topics

Artificial Intelligence
Machine Learning
Data Analytics
Data Science using Python
Education & Technology

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