Full-time (9 weeks)

In 9 intensive weeks in Berlin, learn Data Science from Python to advanced Machine Learning, get all the skills to join a Data Science team and boost your career.

Apply now
In 9 intensive weeks, learn Data Science from Python to advanced Machine Learning at Le Wagon.
Course details Apply now
Oct 4, 2021 - Dec 3, 2021 Course in English (6,900 €)
Open - Apply now

Join a unique Data Science course

Our full-time Data Science course in Berlin gives you the skills you need to launch your career in a Data Science team in only 9 weeks. From Pandas to Deep Learning, you will finish the course knowing how to explore, clean and transform data into actionable insights and how to implement Machine Learning models from start to finish in a production environment, working in teams with the best-in-class tool belt.

Le Wagon's Data Science course gives you the data science skills you need to launch your career in any data-related role.
Learn Data Science in 9 weeks
Check out what our alumni have built in 2 weeks

Our Data Science course curriculum

Our course in Berlin is designed to make you learn data science step by step, from the basic data toolkit in Python to implementing Machine Learning model in a production environment.

  • 0
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8
  • 9

Start the bootcamp prepared!

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.

Python for Data Science

Learn programming in Python, how to work with Jupyter Notebook and to use powerful Python libraries like Pandas and NumPy to explore and analyze big data sets. Collect data from various sources, including CSV files, SQL queries on relational databases, Google Big Query, APIs and Web scraping.

Relational Database & SQL

Learn how to formulate a good question and how to answer it by building the right SQL query. This module will cover schema architecture and then dive deep into the advanced manipulation of SELECT to extract useful information from a stand-alone database or using a SQL client software like DBeaver.

Data Visualization

Make your data analyses more visual and understandable by including data visualizations in your Notebook. Learn how to plot your data frames using Python libraries such as matplotlib and seaborn and transform your data into actionable insights.

Statistics, Probability, Linear Algebra

In Berlin you will learn about the underlying math behind all the libraries and models used in the bootcamp. Become comfortable with the basic concepts of statistics & probabilities (mean, variance, random variable, Bayes’s Theorem, etc.) and with matrix computation, at the core of numerical operations in libraries like Pandas and Numpy.

c pulse Statistical inferences

You'll learn how to structure a Python repository with object-oriented programming in order to clean your code and make it re-usable, how to survive the data preparation phase of a vast dataset, and how to find and interpret meaningful statistical results based on multivariate regression models

speaker Communication

Data analysts are meant to communicate their findings to non-technical audiences: You will learn how to create impact by explaining your technical insights and turn them into business decisions using cost/benefits analysis. You'll be able to share your progress, present and compare your results to your teammates.

Preprocessing and Supervised Learning

Learn how to explore, clean, and prepare your dataset through preprocessing techniques like vectorization. Get familiar with the classic models of supervised learning - linear and logistic regressions. Learn how to solve prediction and classification tasks with the Python library scikit-learn using learning algorithms like KNN (k-nearest neighbors).

Generalization and Overfitting

Implement training and testing phases to make sure your model can be generalised to unseen data and deployed in production with predictable accuracy. Learn how to prevent overfitting using regularization methods and how to chose the right loss function to improve your model's accuracy.

Performance Metrics

Evaluate your model's performance by defining what to optimise and the right error metrics in order to assess your business impact. Improve your model's performance with validation methods such as cross validation or hyperparameter tuning. Finally, discover a powerful supervised learning method called SVM (Support Vector Machines).

Unsupervised Learning & Advanced Methods

Move to unsupervised learning and implement methods like PCA for dimensionality reduction or clustering for discovering groups in a data set. Complete your toolbelt with ensemble method that combine other models to improve performance, such as Random Forest or Gradient Boosting.

Neural Networks

Unveil the magic behind Deep Learning by understanding the architecture of neural networks (neurons, layers, stacks) and their parameters (activations, losses, optimizers). Become autonomous to build your own networks, especially to work with images, times and text, while learning the techniques and tricks that make Deep Learning work.

Computer Vision

Go further into computer vision with Convolutional Neural Networks, architectures designed to take the most out of images. Improve your model generalization thanks to data augmentation techniques and implement advanced methods to benefit from state-of-the-art architectures thanks to Transfer learning methods.

Times-Series & Text data

Get comfortable into managing sequential data and text (sequence of words) by transforming them into appropriate inputs. Leverage the power of Recurrent Neural Networks to forecast future values and perform valuable Natural Language Processing.

Deep Learning made easy

Discover the Keras Deep Learning library which enables to prototype easily while having the flexibility to tune precisely your neural network. Moreover, Google Colab will greatly speed up the computational time thanks to dedicated GPUs.

Machine Learning Pipeline

Move from Jupyter Notebook to a code editor and learn how to setup a machine learning project in the right way in order to quickly and confidently iterate. Learn how to convert a machine learning model into a model with a robust and scalable pipeline with sklearn-pipeline using encoders and transformers.

Machine Learning workflow with MLflow

Building a machine learning model from start to finish requires a lot of data preparation, experimentation, iteration and tuning. We'll teach you how to do your feature engineering and hyperparameter tuning in order to build the best model. For this, we will leverage a library called MLflow.

Deploying to production with Google Cloud Platform

Finally, we'll show you how to deploy your code and model to production. Using Google Cloud AI Platform, you'll be able to train your model at scale, package it and make it available to the world. Cherry on top, you will use a Docker environment to deploy your own RESTful Flask API which could be plugged to any front-end interface.

Student Projects

You'll spend the last two weeks on a group project working on an exciting data science problem you want to solve! As a team, you'll learn how to collaborate efficiently on a real data science project through a common Python repository and the Git flow. You will use a mix of your own datasets (if you have any from your company / non-profit organisation) and open-data repositories (Government initiatives, Kaggle, etc.). It will be a great way to practise all the tools, techniques and methodologies covered in the Data Science Course and will make you realize how autonomous you have become.

Data prep week

The Data prep-week is an additional week of interactive online learning designed to help candidates strengthen their Python skills the week just before the official start of the Bootcamp. The objective is to provide candidates with strong foundations to make the most of their intensive 9 or 24-week learning journey.

Format
  • Online, Monday to Friday, 9am - 5pm
  • Morning lecture, Coding challenges, Evening reboot & recap session
  • Open to all candidates enrolled on the Bootcamp, but not mandatory!
  • No extra cost (included in the tuition fee)
Timetable for the week
Monday
  • Variables
  • Numbers
  • String (concatenation/interpolation)
  • Type(), casting type
  • Special values (None, False, '')
  • Control flow
Tuesday
  • Functions
  • Lists
  • Iteration
Wednesday
  • Dict
  • Iteration
Thursday
  • OOP basic
  • Classes
  • Instances
Friday
  • OOP advanced
  • Import
  • Inheritance

A typical day at Le Wagon Berlin

From morning lectures to evening talks, every day in Berlin is action-packed.

  • 09:00 Lectures
  • 10:30 Challenges
  • 16:00 Yoga
  • 17:00 Recap
  • 18:00 Events 20:00
Lectures
Lectures09:00 - 10:30

Grab a coffee and start every morning with an engaging & interactive lecture, before putting what you’ve learnt into practice.

Challenges
Challenges10:30 - 16:00

Pair up with your buddy for the day, and work on a series of programming challenges with the help of our teaching staff.

Yoga
Yoga (Optional)16:00 - 17:00

Learning to code can be very intense. If you want, you can make the most of the yoga classes we organize on certain days to relax and take a break.

Live code
Recap17:00 - 18:00

Review the day’s challenges and get an overview of upcoming lessons during live code sessions.

Talks & Workshops
Events (Optional)18:00 - 20:00

Be inspired and get priceless advice from successful entrepreneurs invited for exclusive talks.

Career Week

At the end of the bootcamp, you are welcome to join our Career Week. This week gives you the tools you need to take the next steps in your career, whether it is finding your first job in tech, building a freelance career, or launching a start-up.

Workshops Workshops

Benefit from a combination of panel discussions, workshops, presentations, and assignments to help you find the right career path.

Becoming job-ready Becoming job-ready

Prepare your personal profile, complete job applications, prepare for technical challenges, and make a game plan for after the bootcamp!

Inspiration Inspiration

Hear from alumni about their post-Bootcamp journeys and what a typical day looks like in their new careers.

Custom-made Custom-made

You can join any workshops or watch any tutorials that you are interested in. You create your own career week according to your interests and objectives

Timetable for the week
Monday
  • Discover career paths
Tuesday
  • Prepare for a job application
Wednesday
  • Prepare for technical challenges
Thursday
  • Apply for jobs
Friday
  • Game plan post bootcamp

Build your Data Science portfolio

The last weeks of our Data Science course in Berlin are dedicated to building your own Data Science project: a personalised recommendations system, a search engine, an image recognition app, a supply chain optimisation tool or an e-commerce promotion & pricing app. As a result, you end up the course with your own Data Science portfolio.

Peak Player iconPlay video.Play video

Peak

A new way to experience music.

Greenr Player iconPlay video.Play video

Greenr

Create a carbon accounting estimator for recipes.

News Makers Player iconPlay video.Play video

News Makers

News article summarization and sentiment analysis of related social media comments

Passionate teachers

Since day one, we’ve taken teaching seriously. Great teachers inspire us to connect to topics on a profound level. Experience as a developer alone doesn’t necessarily make one an effective teacher — that’s why we’re passionate about finding not only great engineers, but deeply committed, experienced teachers.

Benjamin Auzanneau
Benjamin Auzanneau

Ben is a Lead Teacher on our Data Science bootcamps in Berlin. He joined Le Wagon at the dawn of the Data Science program and continues to contribute to its construction. He enjoys breaking down complex concepts in the simplest way to students.

more about Benjamin
Zuza Żuber
Zuza Żuber

Zuza is one of our lead teacher and developer in Berlin. After working in the sport industry, she discovered her passion for coding and worked as Fullstack developer in Berlin. You will always see her smiling and speaking about sports!

more about Zuza

Network and learning platform

Berlin's Data Science course is just the beginning of the journey. Once you graduate, you belong to a global tech community and have access to our online platform to keep learning and growing.

Slack icon Slack groups

Get tips and advice from professional data scientists & data analysts, access exclusive job and freelance opportunities from entrepreneurs & developers.

Online classroom

Access our online education platform at any time after the course: you will find all data science lectures, screencasts, challenges and flashcards.

Tech community

Benefit from our global community of 11,690 alumni working in data-related roles, but also entrepreneurs, developers and product managers all over the world.

Icon tutorials Global presence

Our different courses are running in 45 campuses all over the world: wherever you go, you belong to the Le Wagon community!

Community and tools for life

Find a data job in the best business & tech companies in Berlin

Once the course ends, you benefit from our career services. We help you meet with the best recruiters in Berlin and connect with relevant alumni.

microsoftwordCreated with Sketch. Career Playbook

Access a complete guide to kick-start your Data Science career in Berlin after the course: boost your portfolio, find your dream job, leverage on our 11,690 alumni community.

myspaceCreated with Sketch. Career Events

Attend our job fairs and networking events, meet with the best tech companies and receive offers by recruiters looking for talent in data-related roles.

buymeacoffeeCreated with Sketch. Alumni Coaching Sessions

Our data science course alumni love to share their experiences with fresh graduates: they explain how they found their job as Data Scientist, Data Analyst or Data Engineer.

wechatCreated with Sketch. Career Intros

Our local teams know their alumni and hiring partners, what they are up to and what they are looking for. They introduce you to the right people depending on your goal.

Our web development course alumni get hired by the best companies

Where our alumni work in data in Berlin

The best companies partner with Le Wagon and hire our alumni as Data Scientist, Data Analyst or Data Engineer.

Getaround Hired 6 graduates
+4
ContentSquare Hired 1 graduates
Aircall Hired 3 graduates
+1
Doctolib Hired 9 graduates
+7
Google Hired 5 graduates
+3
Frichti Hired 1 graduates

Find the right financing option for you

Find out if you are eligible for special offers in Berlin.

Bildungsgutschein - in cooperation with the Bundesagentur für Arbeit or Job Center
Bildungsgutschein -  in cooperation with the Bundesagentur für Arbeit or Job Center

Le Wagon’s 9 weeks and 24 weeks Web development course is now counted as certified vocational training in Germany. This means that if you are registered and unemployed in Germany, you are eligible to receive a Bildungsgutschein (an education voucher) from the Bundesagentur für Arbeit or Job Center and take part in our course for free.

Learn more!
Study first and pay later with CHANCEN eG
Study first and pay later with CHANCEN eG

Study first, pay later - based on your income. With Income Share Agreements, you can focus on the bootcamp, while CHANCEN eG takes care of your tuition fees partially or completely during the time of the bootcamp. When you graduate, income based repayments are made to Chancen eG over a 5 year period.

Learn more!

The most acclaimed Data Science Bootcamp and courses

Le Wagon is the #1 ranked coding bootcamp on Switchup Coursereport logo

Le Wagon has 2083 reviews with an average grade of 4.98/5 which makes it the most acclaimed coding bootcamp worldwide on Switchup according to student reviews! Whilst these reviews make us proud, above all they make us happy. Behind these reviews are hundreds of people around the world who have had a life-changing experience joining our program, that has opened new doors for them. We feel blessed and honoured to have enabled them - and to keep enabling our students - to become autonomous in coding, upskill or change their career, or launch their own startups.

Also, these 2083 reviews are extremely important for us to make sure we’re always meeting the same level of excellence. Having such positive and enthusiastic reviews about our bootcamps is the ultimate proof that we provide the best tech education for all our students, in the 45 cities we run our coding bootcamps in.

Any questions about our program in Berlin

If you got here, it means that you have questions about Le Wagon: how to apply, who can join, what you’ll learn… Good! We have the answers.

BILDUNGSGUTSCHEIN: Does the voucher cover the entire course fee?

Yes.

If you receive a Bildungsgutschein your entire course fee is financed by the German Government. You can also request financial support for transport and living costs at the Agentur für Arbeit. This does not include hardware (i.e. laptop) nor accommodation.

BILDUNGSGUTSCHEIN: Will I be in a different course?

No.

Our Full-Time and Part-Time course is the same for everyone. You will study and work together on the same schedule and in the same group as students who do the course without the Bildungsgutschein. The only difference: Your attendance to our Preparation Week (first week before course start) and our Career Week (one week after the course end) is mandatory.

BILDUNGSGUTSCHEIN: Can I use the voucher for other cities?

Yes. You can use this voucher only in Germany, the other city would be Munich and soon Cologne!

CHANCEN eG: Which are the steps to follow to get the financing?
  1. Submit your applications at Le Wagon and CHANCEN eG
  2. Have an interview with Le Wagon
  3. Once accepted by Le Wagon, you will have an interview with CHANCEN eG
  4. Hand in all asked documents to CHANCEN eG
  5. Get your confirmation from CHANCEN eG
CHANCEN eG: How long will it take from the first contact until the final confirmation?

Depending on your situation, you will receive an answer between 2 to 4 weeks if you are quick to set up your interview with CHANCEN eG (after the interview with Le Wagon).

CHANCEN eG: Which nationalities are eligible to get the financing?

All citizens of the EU, Switzerland, Norway, UK, USA, Canada, Australia, New Zealand and Israel.

Also anyone who is registered in Germany who has a German secondary school degree (e.g. Hauptschulabschluss / Mittlere Reife / Abitur).

For more questions & answers, you can visit our FAQ section! If you would like to discuss with Le Wagon team, don't hesitate to contact us.

Go further illustration

Want to go further?

Next Berlin Data Science course (full-time coding bootcamp) starts on Oct 4, 2021

Laptop illustration