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Data Visualization - Clear Introduction to Data Visualization with Python Proper Guide for Data Scientist - cover
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Data Visualization - Clear Introduction to Data Visualization with Python Proper Guide for Data Scientist

Alex Campbell

Narrator Darcey Kobbs

Publisher: Alex Published

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Summary

Are you a budding data scientist or aspire to be one someday? Have you ever wondered about all the data that is constantly in motion around the world? Does it surprise you when Netflix gives you suggestions for your next movie and it is very close to your taste in movies? Would you like to know more about data and how it is used regularly to influence every action you take? Do you want to know how businesses with a turnover in millions make critical decisions to make or break their business? Do you wonder how humans can process huge data for their decision-making? All this can be achieved through data in the form of visual representations. If you are curious to know the answers to all these questions, then this is the right book for you. 
The tools in this book will help you get a first impression of data science and how Python can be used extensively to create beautiful visuals to turn raw data into stories. The book will take you through: 
·      The need for data visualization today 
·      The concepts and techniques of data visualization 
·      The various tools available to achieve data visualization 
·      Data visualization libraries in Python 
·      The Pareto Chart 
·      Regression and Classification using Python 
This book has been designed for you to understand data visualization using Python. There are step by step guides and images with code snippets throughout the book to help you get your hands dirty by creating your own data visuals. So, here’s hoping that this book helps you find your appetite to become a data scientist with a mystery in presenting data through effective visualizations someday. Click the Buy Now button to get started!
Duration: about 3 hours (03:00:07)
Publishing date: 2020-09-21; Unabridged; Copyright Year: — Copyright Statment: —