Course details

Advanced Visualizations & Dashboards: Visualization Using Python

Advanced Visualizations & Dashboards: Visualization Using Python


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Explore approaches to building and implementing visualizations, as well as plotting and graphing using Python libraries like Matplotlib, ggplot, bokeh, and Pygal.



Expected Duration (hours)
0.6

Lesson Objectives

Advanced Visualizations & Dashboards: Visualization Using Python

  • recognize the importance and relevance of data visualization from the business perspective
  • list libraries that can be used in Python to implement data visualization
  • set up a data visualization environment using Python tools and libraries
  • list the prominent data visualization libraries that we can be used with Matplotlib
  • create bar charts using ggplot in Python
  • create charts using the bokeh and Pygal libraries in Python
  • recognize criteria that should be considered when selecting an appropriate data visualization library
  • create interactive graphs and image files
  • plot graphs using line and markers
  • plot multiple lines in a single graph using different line styles and markers
  • create a line chart with Pygal, create an HTML directive to render the line chart, and render the line chart
  • Course Number:
    it_dsavdsdj_01_enus

    Expertise Level
    Intermediate