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Data Visualization with Bokeh

Course Summary

Learn how to use the Bokeh library to generate interactive charts, graphs, and other visualizations using Python. We'll explore a world population data set and see how to generate different charts using this powerful library.


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    Course Syllabus

    Getting and Displaying Data

    Before we can utilize Bokeh to visualize data we need to know how to get it into a Bokeh friendly format. There are lots of different ways to use and display the data as well, so we need to make sure to show what our data means. 5 steps
    • Course Introduction 4:10
    • Getting Started with Bokeh 6:32
    • Bokeh's ColumnDataSource 10:22
    • Colors and Legends 6:12
    • Review: Introducing Bokeh 4 questions

    Interactive Visualization

    Enhancing charts, graphs, and plots with interactivity makes for a better user experience. 4 steps


Course Fee:
USD 25

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

This course is listed under Open Source , Development & Implementations and Data & Information Management Community

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