The Complete Python Data Visualization Course

Master the major plotting libraries Matplotlib, Seaborn, and Bokeh, and use them to create beautiful plots.

 

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Includes:
  • 3.1 Hours of Video
  • Certificate of Completion
  • Source Code
  • Closed Captions
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Benefits

  • On-demand, 24/7 access
  • 3.1 hours of video
  • Certificate of completion
  • Source code and PDF notes
  • Closed captions

Overview

Plotting is a fundamental aspect of data science – it allows you to visually communicate your findings and insights.

This course will teach you everything that you need to know about plotting with Python 3, using three of the major plotting libraries: Matplotlib, Seaborn, and Bokeh. All of these libraries provide sleek APIs that consume your data, before presenting a plot that’s completely customizable. You will learn how to display beautiful charts and plots in each of these libraries, as well as the different advantages each library has in displaying different types of data. The development environment installation using Anaconda is covered in this course.

Types of plots covered in this course include: 

  • Column charts
  • Pie charts
  • Line and Multi-Line charts
  • Scatter Plots
  • Joint Plots

…and more!

Frameworks and tools covered: Python 3.6, Anaconda 5.2, Matplotlib 3.0, Seaborn 0.9.0, Bokeh 1.0.0

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Our course instructors participate in elite developer programs and have been recognized for their demonstrated excellence in development and teaching.

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Interactive Lessons with Codemurai

Our unlimited access package comes with free access to all of the courses in our mobile app, Codemurai!

Available on iOS and Android, it’s full of interactive programming lessons and exercises so you can continue your learning on the go.

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Lessons

Requirements

    Basic to intermediate Python skills
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