Our data science course is very intense. To save time and nail it from the beginning, our students must complete an online preparation work before starting the bootcamp. This work takes around 40 hours and covers the basics of Python, the pre-requisite language of the course, and some mathematical topics used every day by data scientists.

• Use and master Python core aspects used in Data Science
• Learn Data Sourcing from an exhaustive list of techniques (CSV, API, Scraping, SQL, etc.)
• Sharpen your SQL skills with advanced queries (JOIN, PARTITION, RANK, etc.)
• Master the data scientist toolkit (Jupyter suite) and perform your first data analysis with Pandas
• An image is worth a thousand words, that’s why Data Visualization is key in communicating one’s result. Never used a violin chart? You will!
• Grasp the Mathematical concepts behind Data Science: statistics, probability and linear algebra.

• Dive headfirst into Machine Learning and complete a full tour of the scikit-learn library. 2 weeks of the program will take you from your first linear regression to advanced unsupervised learning models.
• Go from your first linear regression to advanced unsupervised learning models in only 2 weeks.

• Master Google Cloud Platform to store and retrieve data with BigQuery and deploy models to production
• Learn to “extract, load and transform” (ETL) data into a Data Warehouse.
• Design a data pipeline to build a robust and scalable system.
• Leverage the scale of the cloud in your exploratory analysis from a Jupyter interface and run Machine Learning algorithms on the Google Cloud stack.

• Spend a week on Deep Learning, use neural networks and transfer learning to quickly build great models for Image Recognition, Time series & Natural Language Processing.

• Learn the best practices when working on a Data Science project with a tech team
• Build your data service or data product during the 2 final weeks: a personalised recommendations system, a search engine, an image recognition app, a supply chain optimisation tool or an e-commerce promotion & pricing app. Be ambitious and creative!

Yes, a fair minimum. Our Data Science bootcamp is very intense and will jump into advanced topics from the very first week. Unlike Le Wagon’s FullStack Web Development bootcamp where we spend 3 weeks learning Ruby from scratch, applicants for the Data Science bootcamp need some programming. How much? You must be comfortable with data types & variables, conditions, loops, functions and the two data structures list & dict (named Array and Hash in Ruby). If you know those topics in Ruby, JavaScript or some other language than Python, feel free to embark on those free Fundamentals & Intermediate courses before the bootcamp.

A minimum math level of “Première S” (High School Junior Year) is required for the batch. We need you to be comfortable with Functions, their Derivatives & System of linear equations. To get up to speed, some preparation work is given to applicants before the bootcamp start: Calculus, Linear Algebra & Statistics.

The price of the bootcamp is 5900€. However, there is a 20% discount to Nova SBE and Le Wagon Alumni, lowering the price of the data science bootcamp for alumni to 4720€.

Learn to code in 24 weeks with a tailor-made program adapted to your busy schedule.

Typical Week: