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In this Data Visualization Basics with Python training course, expert author Randy Olson will teach you how to create effective data visualizations in Python. This course is designed for users that already have some experience with programming in Python.

You will start by learning about the basics of data visualization, including types of charts, common pitfalls and good practices in data visualization, and data sources. Finally, Randy will teach you about matDescriptionlib, including how to use matDescriptionlib in the Jupyter Notebook, matDescriptionlib styles, and subDescriptions and small multiples.
Once you have completed this computer based training course, you will have learned a number of tips, tricks, and best practices for creating effecting data visualizations in Python. Working files are included, allowing you to follow along with the author throughout the lessons.

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Data Visualization Basics with Python Training Video

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Tags: Visualization, Basics, Python, Training

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