Part-time (24 weeks)

In 24 intensive weeks in Tokyo, learn all the skills of a Data Scientist. Analyse rich data sets, make complex decisions using data and discover the power of AI & Machine learning to solve real world problems.

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 In 24 weeks, part-time, learn Data Science from Python to advanced Machine Learning at Le Wagon Tokyo
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Mar 26, 2022 - Sep 3, 2022 Course in English (850,000 JPY)
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Join an immersive Data Science course

Our part-time Data Science course in Tokyo gives you the skills you need to launch your career in a data science team, in 24 weeks studying some weekday evenings and Saturdays. 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 24 weeks
Check out what our alumni have built in their final weeks

Our Data Science curriculum

Our course in Tokyo is designed to help you learn Data Science step by step. Use data to provide actionable insights and build a real-world data application to showcase your skills.

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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 analyse 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 visualisations 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 Tokyo 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 vectorisation. 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).

Generalisation 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, optimisers). 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 make the most out of images. Improve your model generalisation 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 you 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 set up 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 into any front-end interface.

Solve real-world problems with Data!

The final weeks of the course will culminate in the delivery of your capstone project! Working collaboratively in small teams, the project will allow you to utilise all the skills you have learned throughout the bootcamp in order to solve a real world data science problem.

  • Collaborate efficiently in teams of 3-4 people on a real data science project through a common Python repository.
  • 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.)
  • Put into practice all the tools, techniques, and methodologies covered in the Data Science Course.
  • Invent, pitch, design, code, and deploy your fully functioning Data Project, to be used in real-life scenarios and as a portfolio-ready application to showcase your new data science skill set.

Admission & prep work

Our Data Science course requires a basic level of Python & Mathematics. As we want all of our students to succeed, you'll be able to test your level and refresh your skills before the Bootcamp starts.

Admission prerequisites in Python & Maths
  • Python prerequisites

    You'll need to be comfortable with data types & variables, conditions, loops, functions and data structures (List & Dictionary).

  • Mathematics prerequisites

    You'll need a High School level of Maths, meaning you will be comfortable with functions, derivatives, and systems of linear equations.

  • Testing your skills

    After a chat with our Admissions team, you will receive a Python & Mathematics Quiz to help you and the Admissions team better understand your current level in Python & Maths. We'll also provide you with a set of additional free learning resources to help you match the prerequisite level for the Bootcamp.

Post-admission prep work

Once you have been accepted onto the Data Science Bootcamp (congrats!), you'll receive ~ 40h of online learning resources. We require all of our students to complete this before the Bootcamp starts, either at their own pace or during our Data Prep Week.

The Data Prep Week takes place the week before the official start date of the Bootcamp. This is an additional week of interactive online learning designed to help you get through this content as efficiently as possible and ensure you have the necessary foundations in Python before the bootcamp starts.

Our part-time format

Learn to code in 24 weeks with a tailor-made program adapted to school & public holidays, and above all to your busy schedule.

09:00 AM 06:00 PM
07:00 PM 10:00 PM
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
Sunday
Homework Watch the lecture to prepare for next session.
Live sessions Pair program with your classmates on coding challenges with the help of our teachers.
Live sessions Pair program with your classmates on coding challenges with the help of our teachers.
Homework Watch the lecture to prepare for next session.
Live sessions Practice all day on challenges and projects.

Consolidate what you've learnt through live-code sessions with your teachers.
☀️
Homework

Watch the lecture to prepare for next session.

Remote

Pair program with your classmates on coding challenges with the help of our teachers on Zoom.

Live sessions (Full day)

Practice all day on challenges and projects.

Consolidate what you've learnt through live-code sessions with your teachers.

A taste of our program in Tokyo

Live a unique learning experience every week.

On campus pair-programming sessions
On campus pair-programming sessions

Meet your peers and teachers once a week to work on coding challenges. Learn to think and solve problems like a Data Science professional.

Online lectures and flashcards
Online lectures and flashcards

Watch lectures at your own pace on our online platform. Grasp core concepts and prepare yourself for the next coding session. Consolidate your knowledge on a daily basis playing our Flashcards.

Hiring and networking Events
Hiring and networking Events

Every week, join us for events with entrepreneurs and hiring partners. Create your own network within a thriving tech scene.

Career Week

At the end of the bootcamp, we will organise 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 a Data Science role, exploring career opportunities with your new data skill set, or launching your 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 our 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

Dataproject.

The last weeks of our Data Science course in Tokyo will culminate in the delivery of a fully deployable data application. Working collaboratively in small teams, the data project will allow you to utilise all the skills you have learned throughout the bootcamp in order to solve a real-world data science problem.

Give Me Some Credit Player iconPlay video.Play video

Give Me Some Credit

Based on total number of transactions, customer age group or monthly income, Give Me Some Credit enables banks to analyze and predict credit card churn for their customers.

Sky Crop Player iconPlay video.Play video

Sky Crop

Through Machine Learning, Sky Crop identifies rice and sugarcane plantations based on satellite images. This project was built in partnership with Listenfield.

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.

Trouni Tiet
Trouni Tiet

Graduated from a top French engineering school, Trouni leads our Data Science bootcamp and teaches foundational courses in Python and Mathematics. He is also working as a freelancer and launching his own IT company in Tokyo.

more about Trouni
Yann Le Guilly
Yann Le Guilly

Graduated with a Master's degree in computational science, Yann is currently working as Machine Learning engineer at Arithmer, a Tokyo-based AI startup.

more about Yann
Sébastien Béal
Sébastien Béal

Graduated from École Normale Paris in Machine Learning and Computer Vision, Sébastien is the Founder and CEO / CTO of Locarise, a Tokyo-based IoT and spatial data startup aiming to make retail, offices, and event venues safer and smarter.

more about Sébastien
Fabian Dubois
Fabian Dubois

Graduated with a Computer Science degree from a top French engineering school, Fabian is currently working as a freelancer in Tokyo, leveraging on AI and Machine Learning to develop sustainable projects on earth and in space.

more about Fabian

Network and learning platform

Tokyo'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 12,944 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 44 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 Tokyo

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

microsoftwordCreated with Sketch. Career Playbook

Access a complete guide to kick-start your Data Science career in Tokyo after the course: boost your portfolio, find your dream job, leverage on our 12,944 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 more recent graduates. They explain how Le Wagon helped them find their dream role in Data Science and share insights into how they used their new data skill sets to accelerate their careers in various sectors, such as marketing, finance, healthcare and academic research.

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 Tokyo

The best companies partner with Le Wagon and hire our alumni as Data Scientists, Data Analysts, Product Managers or Data Engineers.

Cognizant Hired 1 graduates
Hacarus Hired 1 graduates
Rakuten Hired 2 graduates
Virtusize Hired 1 graduates

Find the right financing option for you

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

Specialized Practice Education and Training Benefits Program (ReSkill)
Specialized Practice Education and Training Benefits Program (ReSkill)

This program offered by the Ministry of Health, Labor and Welfare, and managed by HelloWork allows applicants to get reimbursed for up to 70% of our bootcamps tuition fees.

Please refer to this article for details about the requirements and application process.

Book a call with us to discuss your career plans

The most acclaimed Data Science Bootcamp and courses

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

Le Wagon has 2164 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. Behind these reviews are hundreds of people around the world who have had a life-changing experience joining our program, which 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 2164 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 44 cities we run our coding bootcamps in.

Campus Le Wagon Tokyo

Data Science course in Tokyo
Le Wagon Tokyo - Coding Bootcamp
2-11-3 Meguro, Meguro-ku, Tokyo

Any questions about our program in Tokyo

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.

Do you support job search after the program?

At the end of each bootcamp, we organize a 10th optional week, the Career Week, dedicated to helping our students prepare their job search and upcoming career. This Career Week consists of practical support on how to build a resume, creating or updating a LinkedIn profile and a portfolio page, or preparing for technical interviews.

We also connect our fresh graduates with a network of over 50 startups and recruiting agencies, and regularly introduce new job opportunities through a dedicated Slack channel.

This article extensively explains what to expect from our Career Week.

Keep in mind that finding a job at the end of our program will strongly depend on your dedication and motivation before, during and after the bootcamp. Our most successful graduates have a genuine interest in tech and programming, and never miss an opportunity to build up their skills and broaden their knowledge.

You can refer to this article written by one of our alumni for a step-by-step guide on how to land a job in Tokyo.

Can I pay the tuition in installments?

Our standard payment plan is as follows:
- Deposit upon contract signature (⅓ of the total tuition)
- Remaining balance due during the first month of the bootcamp

We do offer a payment option in three installments without extra fees for specific cases, upon request.
Please note that your spot will only be secured once we have received your deposit.

You can find additional details regarding payment options by following this link.

Do I need to speak Japanese to join the bootcamp or find a job in Tokyo?

You do not need to be able to speak Japanese to join our program: all our curriculum, teaching platform, content and events are in English.

While speaking Japanese opens up opportunities when looking for a job, there are more and more companies in Tokyo ready to hire non-Japanese speakers. That said, JLPT N4 or N3 will be a proof that you are committed to living in Japan, and greatly helps communication within most companies.

What to expect from the enrollment interview?

The interview usually lasts one hour. We conduct it in two 30-min parts, first one focusing on your background and motivation, and second more "formal" one about maths and programming:
Maths questions are senior high school level maximum (e.g. derivatives, mean, simple statistical concepts)
Programming questions are here to check your understanding of basic programming concepts (e.g. variable, data types, simple algos)

The best way to prepare for this interview is to go through our prep work. There is no failing! If we think you need to study further, we will let you know which parts to improve, and you can apply for our next session.

What type of visa do I need to attend Le Wagon in Japan?

If you’re attending our 9-week full-time program, you only need to make sure you are eligible for a 90-day tourist visa. If your country is not in the list of eligible nationalities, we can provide supporting documents to apply for a short-term stay visa at your local Japanese embassy.

If you’re attending our 24-week part-time program, it’s important to check if you are authorized to stay in the territory for all program’s length.

What is the estimated cost of living in Tokyo?

Tokyo always had a reputation for being an expensive city to live in. The good news is, this is just a reputation. You can refer to this article for an estimated accommodation, food and transportation budget.

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.

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Want to go further?

Next Tokyo Data Science course (part-time coding bootcamp) starts on Mar 26, 2022

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