Online (Zoom)
Important: Zoom link will be sent before the workshop.
We are SO thrilled to be bringing back one of our most popular workshops — Data Analytics with Python!
One of the challenges of companies over the past few years has been to deal with their data: collect them, store them, and most importantly analyze them to find out insights about their products or customers' behaviors.
Dive into the world of Data Analytics with a very first introduction of how to use Jupyter Notebook and the extremely popular NumPy and Pandas libraries.
Dig into data sets and unleash the power of your data!
Overview
• Introduction of Jupyter Notebook, NumPy and Pandas
• What are data analysts, data scientists and data engineers really doing?
• Where to find your data sets?
• How to load and have a first overview of a data set
• How to clean up your data set
• Perform basic data exploration with lists, filtering and re-indexing
• Advanced concepts: Grouping, Advanced Aggregation and Plotting
Pre-requisite
• This is a 100% online workshop!
• Download Zoom (https://zoom.us/download)
• Basic Python or programming notions
• Recommended: Install the Anaconda distribution (https://www.anaconda.com/distribution/)
About Le Wagon Tokyo
Le Wagon Tokyo is a coding school for startups, creative people and tech entrepreneurs. Our 9-week full-time and 24-week part-time Full-Stack Coding Bootcamps are designed for complete beginners or "half-beginners" who really want to dive into programming and, above all, change their mindset. Learn to think like a developer, consider issues with new insight, and become more autonomous thanks to these newly acquired abilities.
The next Tokyo batch will start on June 29th and applications are open.
(https://www.lewagon.com/apply/tokyo)
Our part-time bootcamp is now open!
https://www.lewagon.com/tokyo/program/part-time
Le Wagon is a coding school for startups, creative people and tech entrepreneurs. Our 9-week Full-Stack Coding Bootcamp is designed for complete beginners or "half-beginners" who really want to ...
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