Advanced Visualizations & Dashboards: Visualization Using Python

Data Visualization    |    Intermediate
  • 12 Videos | 42m 8s
  • Includes Assessment
  • Earns a Badge
Likes 16 Likes 16
In this course, learners explore approaches to building and implementing visualizations for data science, as well as plotting and graphing using Python libraries such as Matplotlib, ggplot, bokeh, and Pygal. Key concepts covered here include the importance and relevance of data visualization from the business perspective; libraries that can be used in Python to implement data visualization and how to set up a data visualization environment using Python tools and libraries; and prominent data visualization libraries that can be used with Matplotlib. Then see how to create bar charts by using ggplot in Python; how to create charts, using the bokeh and Pygal libraries in Python; and criteria that should be considered when selecting an appropriate data visualization library. Learners observe how to create interactive graphs and image files; how to plot graphs using line and markers; and how to plot multiple lines in a single graph with different line styles and markers. Finally, see how to create a line chart with Pygal, create an HTML directive to render the line chart, and render the line chart.

WHAT YOU WILL LEARN

  • 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

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    1m 43s
    UP NEXT
  • Playable
    2. 
    Relevance of Data Visualization for Business
    3m 42s
  • Locked
    3. 
    Libraries for Data Visualization in Python
    3m 13s
    FREE ACCESS
  • Locked
    4. 
    Python Data Visualization Environment Configuration
    3m 57s
    FREE ACCESS
  • Locked
    5. 
    Matplotlib Libraries for Visualization
    3m 22s
    FREE ACCESS
  • Locked
    6. 
    Bar Chart Using ggplot
    2m 16s
    FREE ACCESS
  • Locked
    7. 
    Bokeh and Pygal
    4m 33s
    FREE ACCESS
  • Locked
    8. 
    Select Visualization Libraries
    3m 34s
    FREE ACCESS
  • Locked
    9. 
    Interactive Graphs and Image Files
    2m 24s
    FREE ACCESS
  • Locked
    10. 
    Plot Graphs
    3m 18s
    FREE ACCESS
  • Locked
    11. 
    Multiple Lines in Graphs
    2m 32s
    FREE ACCESS
  • Locked
    12. 
    Exercise: Create Line Charts with Pygal
    2m 34s
    FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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