Guide on Le Wagon’s Data Analytics bootcamp in Tokyo

We’ve put together a comprehensive guide to help you explore everything about our Data Analytics course in Tokyo and online, its schedule, format, learning tools, and career opportunities for data analytics graduates. Our students, who study Data Analytics online in Japan, Singapore, Philippines, Indonesia and the Netherlands, are sharing their experiences and insights with us. Read on to learn more 👇

Discover our Data Analytics program in video

What you learn during Le Wagon Data Analytics bootcamp

Although Data Analytics is the least technical program among our coding programs in Tokyo, the learning tools and experiences will help you build up your technical skillset and prepare you to start a career in a data-driven world.

In the beginning, you will be introduced to business KPIs and learn how to collect data from various sources to run common analyses (churn, funnel, CAC, AB test, time to convert, etc..)

Using APIs, automation tools, and advanced SQL, you will then learn how to extract, transform and load data on a warehouse building the right data layers.

The next step will be to communicate your results clearly using the right data visualisations and building automated dashboards with the most used BI tools like PowerBI and Looker Studio.

Lastly, you will learn how to run analysis on big data sets using Python and Jupyter notebook. Our learning modules also include foundations of Machine Learning with Python to help you collaborate with data scientists or ML engineers.

Key tools and languages 👇

Study format for Data Analytics bootcamp

Our part-time online format means you will study Data Analytics with us for 24 weeks, from the comfort of your home, office, or even the beach. You can also visit our Tokyo campus anytime you’re in the area. Here’s what you can expect:

• Live sessions: two evening sessions (Tuesday and Thursday, 7 PM to 10 PM Japan time) and one Saturday session each week.
• 24/7 access to materials: you can access all course materials anytime, and they’ll stay with you after the bootcamp ends.
• Real-time support: our teachers and assistants are available during live sessions and remotely to help you.
• Global community: stay connected with your batch and Le Wagon’s worldwide alumni network.

Check your weekly schedule below 👇

Career opportunities after our Data Analytics bootcamp

After completing the program, you can pursue various career paths, both data and business-related. Here are the most common positions our graduates apply for:

1. Data Analyst

As a Data Analyst, you will apply statistical methods to clean, process, and extract valuable insights from data. You will use tools such as Python, MySQL, Apache Spark, R, and Jenkins to drive business decisions and optimize operations.

2. Business Intelligence Analyst

BI Analysts leverage technology to assess business needs and deliver actionable insights. They work with tools like SAS BI, Microsoft Power BI, SAP Business Objects, and Datapine to help companies make strategic decisions.

3. Data Project Manager & Data Consultant

Data Project Managers oversee data-driven initiatives, ensuring smooth execution from data collection to insight implementation while Data Consultants provide expertise in managing and interpreting large datasets to support business objectives.

Hear what our Data Analytics students say 

We spoke with some of our Data Analytics 2025 course students about their motivations and goals post-bootcamp.

Rainier Cantre, Data Analytics student, Philippines

I decided to enroll in the course because I have always been eager to learn data analytics and improve my data skills. Since I work extensively with data, acquiring new tools and abilities, like coding in Python and SQL, will significantly enhance my data capabilities. I’ve contemplated attending a coding bootcamp for several years, and I believe the timing couldn’t be better than now.

My main objectives are to move into a more data-focused position within my current organization. Looking ahead, if the chance arises, I aspire to become a digital nomad, as I believe there are numerous opportunities for individuals skilled in data to work remotely.

Ola Mohamed, Data Analytics student, Japan 

I joined the Data Analytics course in Japan because I wanted to find a way to connect my research and passion for environmental sustainability with practical skills that allow me to make a real-world impact, while still being present for my family. Learning data analytics, especially environmental data, felt like the perfect fit. I’m particularly excited about how data   analytics   can   complement   traditional   environmental   analysis   tools. Using   data-driven   insights   alongside   conventional   methods   makes environmental solutions more effective and scalable.

After the bootcamp, I’m excited to apply my data analytics skills within the field of my studies, environmental science. I’ve always felt there’s a need for stronger connections between science and industry, and I want to help bridge that gap. My goal is to support organizations and businesses in making smarter, more sustainable decisions using data. Whether through remote projects, consulting, or freelance work, I want to build a career that allows me to contribute to sustainability while maintaining the flexibility to be there for my family.

💡Ready to future-proof your career, gain in-demand data analytics skills, and become a Data Analyst?

Book a call with our advisor if you have any questions about our Data Analytics course schedule, financing options, career outcomes etc.