Data Science Bootcamp

Curriculum

Become a Data Scientist in weeks

Acquire advanced data skills, master Machine Learning & AI, and launch your career as a Data Scientist, Analyst, AI Engineer, Data Manager, and more.

Learn essential data analysis methods and tools
Master Machine Learning and Deep Learning
Create AI solutions and advanced predictive models
Build a solid portfolio and learn to work in a data team

You will master these programming languages and tech tools:

Python

SQL

Jupyter

Pandas

Git

Docker

Scikit-Learn

OpenAI

Work for some of the best tech companies

Le Wagon helps you land your dream job. Our career services guide you during your bootcamp.

Location

Intensive learning or learning without quitting your job?

Want to learn to code without quitting your job? Choose our part-time format.
Looking for an intensive training to graduate in only 2 months? Join our full-time format.

Full time

Ready to dive into tech? Join our intensive course. Monday to Friday, 9am to 6pm.

Graduate in 2 months
Live sessions from Monday to Friday 9AM to 6PM
Q&A support during class hours
Morning lectures and peer-to peer challenges in the afternoon
40 hours of study in total, per week

Part time

Have commitments? Learn in your free time when it’s most convenient for you.

Graduate in 7 months
Join 2 live sessions per week, either on the evening or on Saturday morning
Q&A support 24/7 on Slack
Learn collaboratively with peers
16 hours of study in total, per week

From the comfort of your home or from our campuses

You can choose the location that best suits your needs.

Online: Study from anywhere in the world with 24/7 help
On-campus: Experience hands-on learning in a dynamic classroom setting providing network opportunities

Would you like more details about our Data Science & AI course?

Understand the goal of the course

Get our syllabus week by week

Understand our methodology

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Download our Data Science & AI course syllabus

See what our graduates do now

Florian langer

Head of Growth
Marie Macnee

Machine Learning Engineer
Cyril Aubry

Analytics Engineer
Charlotte de Belay

Business Analyst

FAQ

Do you have questions? These answers might help!

The Data science & AI course requires some basic knowledge of programming and mathematics.

How much programming do I need to know? Well, you must be comfortable with data types & variables, conditions, loops, functions and data structures like arrays and dictionaries (also called hashes in some programming languages). If you know those topics in other languages than Python (like Ruby, JavaScript, C++, etc.), you have the right programming prerequisites!
How much mathematics do I need to know? In order to join our Data Science course, you also need a minimum level in Mathematics and to be familiar with concepts covered in high school's scientific section. We need you to be comfortable with functions, their derivatives & systems of linear equations. To get up to speed, some additional preparation work will be given to you before the bootcamp start to get a refresh of all these concepts as well as more advanced knowledge on linear algebra and statistics.

Some cities offer specific financing options with local financial partners, like deferred tuition plans, student loans with interesting conditions or Income Share Agreements (ISA). Also feel free to reach out to the local admission manager to have more details about their local financing options.

Data scientists are experts adept at extracting valuable insights from large datasets to aid organizations in solving complex problems, including those encountered in AI projects. They collaborate closely with business stakeholders to pinpoint opportunities for growth and areas needing improvement.
Their role involves selecting and refining the appropriate datasets, and utilizing machine learning, statistical modeling, and artificial intelligence to analyze them and identify patterns and trends. In AI projects, they develop intelligent algorithms and predictive models, enhancing the business with data-driven strategies and automated solutions.
Data scientists convey their findings clearly to other team members, offering data-backed recommendations to guide organizational strategies and decisions.

The bootcamp is taught in English.

All the challenges' instructions and written documentation are in English, so all students must have a good level and understanding or written English, even in cities where lectures are given in another language.

At the end of the bootcamp, you'll be ready to take on roles in Data Science and AI projects. You'll know how to turn data into actionable insights and manage machine & deep learning models from start to finish using the best tools available.

Your next steps could be:
- Joining a team as a data scientist, data analyst, or data engineer.
- Freelancing on data science and AI projects.
- Launching a startup with a focus on data science and AI.

Change your career with Le Wagon's Data Science & AI course

28 000

#1

4.98 / 5

86%*

There are financing options available for you

Become a Data Scientist in weeks

Be job-ready by the end of the course

Work for some of the best tech companies

Intensive learning or learning without quitting your job?

Join our next session for Data science & AI bootcamps in Amsterdam or Online

Would you like more details about our Data Science & AI course?

Download our Data Science & AI course syllabus

See what our graduates do now

Do you have questions? These answers might help!

I don't have any technical background, can I join the course?

Are there other financing options available, like deferred tuition, student loans or ISA?

What does a data scientist do?

What language is the bootcamp taught in?

What will I be able to do at the end of the Data Science & AI bootcamp?