Yes, certain cities offer financing options through local partners, including deferred tuition plans, student loans, and Income Share Agreements (ISA). For detailed information, visit the Le Wagon website or reach out to a local admission manager.

A Data Scientist extracts meaningful insights from complex, often unseen data, enabling organizations to solve advanced problems and make forward-looking, data-driven decisions. They leverage machine learning, predictive modeling, deep learning, and large language models (LLMs) to analyze vast datasets, identifying patterns and trends that support AI-driven initiatives. Unlike Data Analysts, Data Scientists focus on building predictive models that can process new and unseen data, essential for applications in automation and intelligent decision-making. They collaborate closely with stakeholders to uncover business opportunities, providing data-backed recommendations that shape strategic decisions and drive innovation.

By the end of the Data Science & AI Bootcamp, you’ll be equipped to work in technical roles within tech, data science, or engineering teams, transforming raw data into actionable insights and building, deploying, and optimizing machine learning and deep learning models from start to finish. You’ll gain hands-on experience with industry-leading tools, preparing you to: 
This practical expertise will empower you to drive AI-driven strategies, tackle complex data challenges, and innovate within the rapidly evolving field of data science and AI.

You need to be 18 to enroll for the course. However, you can apply if you are 17 as long as you turn 18 before the start of the bootcamp.

Tuition fees are tailored to each location, reflecting local cost of living and economic factors, ensuring accessibility across cities. For exact pricing and available payment options, visit the course page for your chosen city on Le Wagon’s website. Here, you can explore various financing options, including deferred payment plans, student loans, and, in some locations, Income Share Agreements (ISAs), making it easier to pursue your tech education and start your new career without financial barriers.

Here’s what you need to know about technical prerequisites for each bootcamp: 
  • Web Development: No technical background is required. We look for motivated, curious, and social students. If this describes you, you’re ready to apply and complete the selection process. 
  • Data Science & AI: Requires basic programming and math knowledge: 
    • Programming: Familiarity with data types, conditions, loops, functions, and data structures (arrays and dictionaries) in any language like Python, Ruby, or JavaScript. 
    • Mathematics: Comfort with high school-level functions, derivatives, and linear equations. We provide pre-bootcamp resources to help you brush up on linear algebra and statistics. 
  • Data Analytics: Beginner-friendly, with no prerequisites beyond motivation to start your tech journey. 
  • Data Engineering: Beneficial to have foundational skills in programming, databases, and data infrastructure. Successful data engineers often blend these technical skills with strong soft skills to solve complex data challenges. This bootcamp provides hands-on training to help you build or deepen these skills, whether you’re starting fresh or seeking advanced expertise.
  • Growth Marketing: This bootcamp requires only a basic understanding of Excel or Google Sheets and some initial work experience, such as internships.

Yes, Le Wagon’s online bootcamps are eligible to be fully or partially funded, depending on your country of residence and if you meet the criteria for funding support. To find out what options are available, simply select your country on our Bootcamp Financing Options page. If you have multiple funding options, our admissions team will assist you in choosing the best one during your admissions interview. If you have any questions or need more information about local funding options, feel free to reach out to our admissions team at online@lewagon.org.

The main difference between Le Wagon’s bootcamps and an academic degree in Computer Science or Data Science is the emphasis on hands-on skills over foundational theory. Academic degrees start with deep theoretical concepts, which are essential for advanced roles but less directly applicable to most practical tech projects.

Le Wagon’s bootcamps focus on applied skills with modern tools, enabling you to build web applications, data projects, and more from the start. While not designed for specialized roles at companies like Tesla or Google without prior experience, the bootcamp prepares you for junior roles like developer, data scientist, or product manager, allowing you to contribute value immediately and continue learning on the job.

The bootcamp is primarily taught in English in most cities. In French cities, the program is conducted in French, with morning lectures and evening live-coding sessions in French, so fluency is necessary to attend in France. In some locations like São Paulo, Shanghai, Chengdu, and Tokyo, sessions are available in local languages (Brazilian Portuguese, Chinese, Japanese). You can verify the language of upcoming batches on the "Apply" page. Regardless of the teaching language, all challenge instructions and documentation are provided in English, so a minimum B2 level in written English is essential for all students. 

To apply for a course, start by completing the application form on the Le Wagon website. You’ll need to specify details like your chosen course, preferred format (online or on-campus), city, and your motivation for joining. Once you submit the form, a member of the Le Wagon admissions team will reach out to schedule an interview to discuss your goals and fit for the program.

Data Science is a broader, interdisciplinary field that includes advanced techniques like machine learning, predictive modeling, and algorithm development to uncover patterns and generate insights from both structured and unstructured data. Data Analytics, on the other hand, focuses on analyzing existing datasets to identify trends, solve specific problems, and support immediate decision-making. While Data Analytics is a key component of Data Science, the latter extends to creating models and systems that enable predictions and automation. Both roles require a strong foundation in data, but their scope and focus differ significantly. To explore more about these differences, check out this article on our blog.

Le Wagon offers a Part-Time learning option designed to fit around your work commitments, requiring around 16 hours study per week. This flexible program combines pre-recorded, on-demand lectures with live teaching sessions, allowing you to learn from home. Ideal for balancing work and life, the part-time bootcamp provides the same collaborative environment as the full-time course, with access to expert instructors, teaching assistants and a supportive student community.