The Complete Python Data Visualization Course

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

Zenva

Category - Development, Data Science and AI ML, Python

- Introduction
  
  22 Lectures
  - Introduction
    02:38
    Preview
    Resources
    
    Main-content.pdf
  - Source Files
  - Column Chart
    14:04
    Preview
    Resources
    
    Main-content.pdf
  - Chart Annotations
    06:53
    Preview
    Resources
    
    Main-content.pdf
  - Bar Charts
    09:45
  - Line Charts
    09:53
  - Multiline Charts
    07:17
  - Scatter Plots
    11:07
  - Multiple Plots in One Figure
    13:06
  - Seaborn Column and Bar Charts
    11:45
  - Seaborn Line Plots
    06:24
  - Seaborn Scatter Plots and Multiple Plots
    09:34
  - Seaborn Joint Plots
    09:08
  - Bokeh Column Chart
    09:44
  - Bokeh Bar Chart
    06:20
  - Bokeh Hover over Tooltips
    05:37
  - Bokeh Multiline Plots
    06:35
  - Bokeh Interactive Legends
    02:26
  - Bokeh Scatter Plots
    08:28
  - Bokeh Multiple Plots
    09:41
  - Bokeh Linked Panning
    03:55
  - Conclusion
    01:43
Description

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!

Requirements
- Basic to intermediate Python skills