It's widely known that data scientists spend a lot of their time cleaning data, you even might have heard that data scientists spend 80% of their time finding, cleaning, and reorganizing data, and only 20% analyzing it and producing insights.
👀 Overview
In this workshop, learn how to perform common tasks in data cleaning such as dealing with missing data, inconsistent data, and outliers.
We'll be using the python data science libraries pandas, numpy, seaborn and matplotlib and run all the code in a Google Collab notebook (https://colab.research.google.com/))
💻 Pre-requisite
🚀About bitgrit 🚀
bitgrit Inc. (https://bitgrit.net/) is an online data science platform that includes AI competitions, a job board for data scientists and analysts, and our end goal is a fully functional AI Marketplace where companies and engineers can exchange algorithms and payment freely on a blockchain platform.
🚀About Le Wagon Tokyo 🚀
Le Wagon Tokyo (https://www.lewagon.com/tokyo) is a top ranked coding school for startups, creative people and tech entrepreneurs.
Our Web Development and Data Science bootcamps are designed for individuals who want to change their career, become freelancer, or launch their own venture!
Our next bootcamps will start:
🚶♂️September 25th for our 24-week part-time Web Development and Data Science programs
🏃♀️ October 4th for our 9-week full-time Web Development and Data Science programs
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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