Le Wagon | Data Science & AI Foundations Online Interactive Course

APPLICATIONS ARE OPEN Free online course for beginners

Have you thought about upskilling yourself in Data Science & AI, but didn't know where to start?

Great news! We've built this online course for beginners who are taking their first steps into the world of data and want to prepare for advanced data science and machine learning courses, like Le Wagon’s Data Science & AI Bootcamp.

The program will run from May 12th to 19th. Live lectures are held on May 12th, 16th and 19th from 7PM to 8:30PM Japan time.

Class Schedule 📆

Monday, May 12th, 7:00 to 8:30PM Japan time: Course kick-off + Data Analytics with Python
Friday, May 16th, 7:00 to 8:30PM Japan time: Web Scraping with Python
Monday, May 19th, 7:00 to 8:30PM Japan time: Intro to Machine Learning

Applications close on May 10th. We will let you know results by email.

Who should take this course?

⚠️ You need to know programming basics to take this course.

- Data curious professionals 🙇🏻‍♀️ who are not yet working in the field of Data Science, but would love to learn more about what it means to work with large amounts of data.

- Employees 👩‍💻 wishing to analyze large data sets with the right tools and methods to go beyond analysis in Excel.

- Marketing teams 📈 who want to adopt a data-driven approach.

- Managers or executives 💼 wishing to understand the challenges of modern data analysis.

- Entrepreneurs 🚀 working on a data project.

Learning Modules

Data Analytics with Python

Intro to Machine Learning

Web Scraping with Python

What is included?

From May 12th to 19th, you can join our instructors live as they walk you through a new module each day with Le Wagon’s Data Science foundations course.

You will get access to:

- 3 live classroom sessions with our instructors where you can interact and ask questions,

- a private Slack channel with likeminded people and Le Wagon instructors,

- lifetime access to our proprietary platform with exercises, quizzes and everything for you to practice

- certificate if you attend all lectures and complete all challenges

And remember... this series is for complete beginners and it's 100% free 🎁

F.A.Q.

1) What's a "Live Class"?

A live class is a real-time, interactive session conducted by Le Wagon teacher via the video conferencing platform Zoom. Participants can actively engage, ask questions, and follow up afterwards.

2) Who is organizing this course?

This course is organized and delivered to you by Le Wagon Tokyo, a leading coding school in Tokyo, Japan. Our campus is a part of the global coding bootcamp network in 39 cities worldwide, with over 120 startups in operation. It has been rated the nº1 coding bootcamp worldwide on Course Report & Switchup for 4 years in a row!

Our 9-week or 24-week, our Data Science course equips aspiring data engineers, data scientists and data analysts with the technical skills they need to build great products and startups!

3) How is this course different from other online courses?

It's interactive: all lectures are live and teachers will be answering all your questions while the lecture is undergoing.
Global community: you'll get an access to the dedicated Slack channel with direction for further exercises and community interaction.
It's free: no hidden fees or 'premium' options.

4) What will I be able to do in the end?

You will be able to walk away with an understanding how to use Python and SQL for data collection and analysis, how to explore and visualize your data and make data-driven decisions.
This course is strongly recommended for anyone considering to enter our Data Science or Data Analytics bootcamps.

This is also a tool for participants who want to do our Data Science bootcamp to get super prepared before entering the demanding program.

6) Who's Le Wagon?

Through immersive coding bootcamps, Le Wagon teaches you the tech skills and product mindset you need to thrive. Our cutting-edge programs and world-class teachers give you all the skills and tools needed to kick-start your tech career, upskill in your current job, or launch your own startup.