Download free Python Data Visualization: Create impactful visuals, animations and dashboards

Download free Python Data Visualization: Create impactful visuals, animations and dashboards
This course helps participants to gain a deep understanding of the principles of analytical design and how to use different data imagery tools.

Course Content

  • • Python Data Visualization: Introduction
  • • Lesson 1: Human Perception
  • • Topics
  • • 1.1 Understanding Color Theory
  • • 1.2 Overview of Human Vision
  • • 1.3 Color Schemes
  • • Lesson 2: Analytical Design
  • • Topics
  • • 2.1 Understand the Fundamental Principles of Analytical Design
  • • 2.2 Describe the Fundamental Tools of Visualization
  • • 2.3 Advantages and Disadvantages of Different Chart Types
  • • Lesson 3: Data Cleaning and Visualizion with Pandas
  • • Topics
  • • 3.1 DataFrames and Series
  • • 3.2 GroupBy and Pivot Tables
  • • 3.3 Merge and Join
  • • 3.4 The Plot Function
  • • 3.5 Demo
  • • 3.6 Time Series
  • • 3.7 Bar Plot Demo
  • • Lesson 4: Matplotlib
  • • Topics
  • • 4.1 Fundamental Components of a matplotlib plot
  • • 4.2 Explore the matplotlib API
  • • 4.3 Demo
  • • 4.4 Stylesheets
  • • 4.5 Demo
  • • 4.6 Mapping
  • • 4.7 Demo
  • • Lesson 5: Matploltib Animations
  • • Topics
  • • 5.1 Matploltib Animation API
  • • 5.2 Func Animation
  • • 5.3 Animation Writers
  • • 5.4 Demo
  • • Lesson 6: Jupyter Widgets
  • • Topics
  • • 6.1 ipywidgets as Interactive Browser Controls
  • • 6.2 Simple Wdget Use
  • • 6.3 Widget Customization
  • • 6.4 Demo
  • • Lesson 7: Seaborn
  • • Topics
  • • 7.1 Understand the Structure of seaborn
  • • 7.2 Understand the Differences with matplotlib
  • • 7.3 Explore the Seaborn API
  • • 7.4 Demo
  • • Lesson 8: Bokeh
  • • Topics
  • • 8.1 Basic Plotting with Bokeh
  • • 8.2 Advanced Plotting
  • • 8.3 Networks
  • • 8.4 Demo
  • • Lesson 9: Plotly
  • • Topics
  • • 9.1 Basic Plotly
  • • 9.2 3D and Animated Plots
  • • 9.3 Demo
  • • Summary
  • • Python Data Visualization: Summary

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