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Learning data visualization with Python as a beginner can be made easier with a variety of resources. Here are some of the best resources to get you started:

Online Courses

1. Coursera - Data Visualization with Python by IBM

  • A comprehensive course that covers the basics and more advanced topics in data visualization using Python.

2. Udemy - Python for Data Science and Machine Learning Bootcamp

  • Includes sections on data visualization with libraries such as Matplotlib, Seaborn.

3. edX - Analyzing Data with Python by IBM

  • Focuses on data analysis and visualization using Python's powerful libraries.

Books

  1. "Python Data Science Handbook" by Jake VanderPlas

    • A comprehensive guide that includes a detailed section on data visualization with Matplotlib, Seaborn, and other libraries.
  2. "Python Data Visualization Cookbook" by Igor Milovanovic

    • A practical guide with recipes for creating various types of visualizations.
  3. "Data Visualization with Python and JavaScript" by Kyran Dale

    • Covers Python libraries for data visualization along with some JavaScript libraries for web-based visualizations.

Websites and Tutorials

1. Matplotlib Documentation

  • The official documentation provides a thorough guide on how to use Matplotlib for creating static, animated, and interactive visualizations.

2. Seaborn Documentation

  • Seaborn is a powerful library based on Matplotlib that makes it easier to create aesthetically pleasing visualizations.

3. DataCamp

  • Offers interactive courses on data visualization with Python, including hands-on practice and projects.

YouTube Channels

1. Corey Schafer

  • Offers a playlist on Python, including data visualization tutorials.

2. sentdex

  • Provides tutorials on various Python topics, including data visualization.

3. Tech With Tim

  • Covers Python programming with tutorials on data visualization.

Using these resources, you'll be well-equipped to start your journey in data visualization with Python.

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