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Data Visualization with Python


  Data Visualization with Python

Data Visualization with Python | Udemy Coupon ED

Because matplotlib was the first Python data visualization library, many other libraries are built on top of it or designed to work in tandem with it during analysis. Some libraries like pandas and Seaborn are “wrappers” over matplotlib. They allow you to access a number of matplotlib's methods with less code Get Udemy Coupon Code
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What you'll learn
  • Foundational data visualization using Python language
Requirements
  • Basic understanding of Python
  • Basic understanding of navigating through jupyter notebook
 Description

Data visualization is the discipline of trying to understand data by placing it in a visual context so that patterns, trends and correlations that might not otherwise be detected can be exposed.
Python offers multiple great graphing libraries that come packed with lots of different features. No matter if you want to create interactive, live or highly customized plots python has an excellent library for you.

To get a little overview here are a few popular plotting libraries:
  • Matplotlib: low level, provides lots of freedom
  • Seaborn: high-level interface, great default styles
  • Pandas Visualization: easy to use interface, built on Matplotlib
Who this course is for:
  • Beginner Developer, student or data enthusiast who wants to learn visualization using python


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