Do you offer career support?

Once the bootcamps ends, you will benefit from our career services.Our local team will help you prepare for tech interviews, meet the best local recruiters and connect with relevant alumni. You will also have access to a complete guide to kick-start your tech career after the course: boost your portfolio, prepare for technical interviews, leverage on our 10,000 alumni community, but also to lots of useful Slack channels to find jobs or freelance opportunities.Our local team will introduce you to the right people depending on your goal and you will meet with inspiring alumni who will come back to share their post-bootcamp experiences, like how they found a job, started their own company or freelancing career.These are some career services we will provide:Networking events, job fairs, career workshops and office hours with alumni or tech recruitersCoaching sessions with our Talent Manager or local alumniResources our Career PlaybookIntroductions to our network of hiring partners through our Hiring NewsletterCareer week with practical workshops (from building a portfolio to inspiring talks)

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

Some cities offer specific funding options with local financial partners, like deferred tuition plans, student loans with interesting conditions or Income Share Agreements (ISA). Again, you will find more details about these options on the page of each city on Le Wagon’s website. Also feel free to reach out to the local admission manager to have more details about their local funding options.

I'm under 18 years old, can I apply?

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.

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

Web Development courseYou don t need any technical background to join our web development bootcamp. We expect 3 things from our students: be (extremely) motivated, be curious, be social. If this sounds like you, then we ll be more than happy to have you on board if you pass all the selection process.Data Science courseThe Data Science 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.

What language is the bootcamp taught in?

In most cities, the bootcamp is taught in English.In French cities, the program is in French. You will have a 1h30 lecture in the morning in French, and a 1h30 live-code in the evening in French as well. So, if you don t understand French correctly, you won t be able to attend the bootcamp in France.In some other cities (São Paulo, Shanghai, Chengdu, Tokyo) specific sessions are organised in other languages (Brazilian Portuguese, Chinese, Japanese). You can check the language of the next batch on the "Apply" page.Extra info: 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.

How can I apply to a course?

To apply, simply complete the application form on our website by selecting:The course (Web Development, Data Science)The format (9-week full-time, 24-week part-time)The city you re interested inAn introduction of why you want to join us and information about your personal project (if you have one!)This is a quick process which only takes a few minutes. We will then contact you to schedule an interview (either in-person or online) to understand your motivations in more detail and answer any questions you have about our bootcamps.

Data Science course in Mauritius

Upcoming sessions

Join our next session in Mauritius

Course info

Master the fundamental skills of a Data Scientist
in just a few weeks

Data Analytics Toolkits

Master the fundamental tools of programmatic data-analysts: Python as a backbone, SQL for queries and Jupyter Notebooks for visualization.

Python
SQL
Jupyter
Matplotlib

Decision Science

Leverage statistics to build advanced analyses and take well-informed business decisions: statistical inferences, hypothesis testing, multivariate regression and confidence intervals.

Pandas
Numpy
Statsmodels

Machine Learning & Deep Learning

Master Machine Learning and Deep Learning workflows (data preparation, model selection, evaluation, and fine-tuning) and understand mathematical concepts and numerical implementations behind models.

Scikit-Learn
Tensorflow
Google Compute

ML Engineering & Team Projects

Package your models into replicable Python code that can be trained on big data in the cloud, using virtual machines and online databases. Monitor & retrain models when needed, and expose them to the world through APIs.

Git
Docker
MLflow
FastAPI

You can start for FREE! Join a live workshop for web development, data analytics, or UX design.

What you will learn in practice

You will learn Data Science through 6 modules, either full-time for 2 months or part-time for 6 months.

Prepwork: get ready to start the bootcamp!

40h

Once you’ve been accepted, you'll receive about 40 hours of online learning resources, carefully curated by Le Wagon to be intuitive and interactive. This prepwork will ensure you have the necessary foundations in Python and maths before the bootcamp starts.

Setup your learning environment (notes, text editor, ...)
Terminal, Git and OS basic commands
Python foundations
Maths foundations (in a fun & intuitive way!)

What you will do in practice

40 hours of online tutorials
Curated resources from Le Wagon to gain solid foundations

Data Analysis

80h

Learn Python for data science: extract data from relational databases, manipulate big data matrix and build visualizations. Understand key maths concepts for data analysis like statistics & linear algebra.

Source data from files, web-scraping, or APIs
Manipulate data with Python, Pandas & Numpy
Query / store data with SQL & Google Big Query
Visualization with Jupyter Notebook, Matplotlib, Seaborn & Plotly