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Getting Started with Matplotlib

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Duration

1h 9m

level

Beginner

Course Creator

Mihaela Danci

Last Updated

24-Feb-23

Understanding and presenting complex information is easier with data visualization. In this course, you’ll learn how to use Matplotlib to create and customize line, bar, and scatter plots.

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Data visualization represents a great way to explore and understand data. It also helps in effectivity communicating insights to a variety of audiences and facilitating the decision-making process. In this course, Getting Started with Matplotlib, you’ll learn to create basic chart types. First, you’ll explore Matplotlib’s architecture. Next, you’ll discover what the components of a figure are. Finally, you’ll learn how to build and customize line, bar, and scatter plots. When you’re finished with this course, you’ll have the foundational knowledge needed to craft data visualizations using Matplotlib.
Author Name: Mihaela Danci
Author Description:
As a data analyst enthusiast, Mihaela has special interests in translating vision into action using end-to-end data analysis. She is very passionate about teaching and resolving real-world business problems. Her greatest joy is learning new data exploration techniques and pushing the boundaries of data analytics. Mihaela has a bachelor’s degree in economic cybernetics and in her spare time she loves to travel and dance.

Table of Contents

  • Course Overview
    1min
  • Understanding Matplotlib’s Architecture
    25mins
  • Building Line Charts
    13mins
  • Working with Scatter Plots
    14mins
  • Creating Bar Charts
    14mins

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Getting Started with Matplotlib
Getting Started with Matplotlib
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