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Treehouse

Data Visualization with Bokeh Course

via Treehouse

Overview

Prepare for a new career with $100 off Coursera Plus
Gear up for jobs in high-demand fields: data analytics, digital marketing, and more.

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.

What you'll learn

  • Bokeh library
  • ColumnDataSource
  • Chart Legends and HoverTools
  • Interactivity with charts

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.

Chevron 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.

Chevron 4 steps
  • Hover Tools

    5:30

  • Linking Data

    11:40

  • Plotting the World

    16:35

  • Review: Bokeh Visualizations

    5 questions

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