My Experience Attending the Le Wagon Data Science Bootcamp in Tokyo

For quite some time, I had been considering enrolling in a data science bootcamp. Working in finance, I’ve found that more and more of my responsibilities involve programming—particularly in Python and SQL. As AI continues to evolve, I felt it was the right time to skill up and explore how I could integrate AI and data science into my professional development.

Living in Tokyo, I was looking specifically for an international bootcamp with in-person or hybrid offerings. Options were surprisingly limited, but Le Wagon stood out. Not only do they have a strong international presence, but they’ve done a great job promoting their tech community locally through Meetup events and free workshops. I attended a few of their free sessions and was impressed with both the content and teaching style—clear, practical, and beginner-friendly.

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World Quant University (WQU)’s Applied Data Science Module

So, you are interested in Data Science and you have come across this free course offered by WQU and you are evaluating whether this course might be worth your time. In this post I will share my experience from having taken this course six months ago. WQU shared a list of key skills which are used on this course which can be found here. At first, the course starts with basic concepts of programming such as: defining variables, data types, loops, functions, classes, etc. It then builds on these core concepts and introduces key packages such as NumPy and Pandas which have ready made modules to read in data. I would say that the rest of module 1 can be summarised in transforming this data and querying it; it’s no coincidence that WQU put ‘Data Wrangling’ at the top of the skills list.

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