Interactive Data Visualization with Python and Bokeh

A complete guide on creating beautiful plots and data dashboards on the browser using the Python Bokeh library.

4.60 (1507 reviews)

Udemy

platform

English

language

Data & Analytics

What you will learn

Build advanced data visualization web apps using the Python Bokeh library.

Create interactive modern web plots that represent your data impressively.

Create widgets that let users interact with your plots.

Learn all the available Bokeh styling features.

Integrate and visualize data from Pandas DataFrames.

Create dynamic graphs that plot real-time data.

Plot time-series data.

Integrate your data visualization apps with Flask apps.

Deploy the apps in live servers.

Learn how to troubleshoot Bokeh apps.

Course Gallery

Interactive Data Visualization with Python and Bokeh – Screenshot 1 — Screenshot 1 – Interactive Data Visualization with Python and Bokeh

Interactive Data Visualization with Python and Bokeh – Screenshot 2 — Screenshot 2 – Interactive Data Visualization with Python and Bokeh

Interactive Data Visualization with Python and Bokeh – Screenshot 3 — Screenshot 3 – Interactive Data Visualization with Python and Bokeh

Interactive Data Visualization with Python and Bokeh – Screenshot 4 — Screenshot 4 – Interactive Data Visualization with Python and Bokeh

Charts

Students

Price

Rating & Reviews

Enrollment Distribution

Comidoc Review

Our Verdict

Interactive Data Visualization with Python and Bokeh proves to be a well-rounded course for those interested in creating stunning, interactive plots using the Bokeh library. Covering both theory and applications, it provides practical experience through exercises while being mildly affected by some deprecated code and minor presentation issues. Though facing stiff competition from Bokeh's own swift updates, this course remains relevant due to its focus on essential building blocks, embedding, and deployment techniques. All in all, an excellent starting point with the occasional need for deeper investigation when encountering discrepancies.

What We Liked

Thorough exploration of Bokeh's features and capabilities
Real-time data plotting through dynamic graph tutorials
Practical exercises that reinforce learned concepts
Valuable insights on integrating data visualization with Flask apps

Potential Drawbacks

Some code samples are deprecated due to Bokeh's rapid updates
Occasional discrepancies between actual and expected outcomes in lessons
Minor issues with video focus and audio clarity
Limited explanation of passing data/info between multiple widgets