Interactive Data Visualization with Python and Bokeh (Udemy.com)
A complete guide on creating beautiful plots and data dashboards on the browser using the Python Bokeh library.
Created by: Ardit Sulce
Last updated February 2026
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.
How it compares
Against the other 388 rated Udemy courses in Python on CourseDuck:
- Rating4.3 out of 5higher than 25% of them
- Reviews1,553#150 of 389 by number of reviews
- Length6.8 hoursshorter than 60% of them
- Last updatedFebruary 2026more recently than 80% of them
Course Description
If you love Python and want to impress your clients or your employer with impressive data visualization on the browser, Bokeh is the way to go. This course is a complete guide to mastering Bokeh, a Python library for building advanced and data dashboards containing beautiful interactive visualizations. The course will guide you step by step from plotting simple datasets to building rich and beautiful data visualization web apps that plot data in real-time and allow web users to interact and change the behavior of your plots via the internet from their browsers.
Whether you are a data analyst, data scientist, statistician, or any other specialist who deals with data regularly, this course is perfect for you. It will give you the skills to visualize data in a way that excites your audience and eventually sells your product or your idea much easier. All you need to have to learn Bokeh is some basic prior knowledge of Python.
The course also contains exercises to help you check your skills as you progress. You will be given access to various data samples and provided with additional examples to enforce your Bokeh skills. The course is estimated to take you around four weeks to complete assuming you devote 10-20 hours/week depending on your productivity skills.
Instructor Details
- 4.3 Rating
1,553 Reviews
Ardit Sulce
Ardit Sulce is a Python programmer and Udemy instructor with 10 years of teaching experience.
He also publishes the Daily Python Projects newsletter on Substack — the most popular Python newsletter on the platform.
Ardit holds a Master’s degree in Geospatial Technologies from the University of Muenster, Germany.
He has worked with organizations such as the Center for Conservation Geography, in-Terra, and Rapid Intelligence, applying Python in areas like environmental analysis, image processing, and data mining.
His teaching philosophy is simple: you learn Python best by building real apps. Ardit’s courses are known for being beginner-friendly, practical, and focused on tools you can actually use — from automation scripts to AI agents.
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Reviews
By Bryan Butler on 10/29/2020
Overall this was a good course on Bokeh, there are lots of things taht you can do with it and Ardit covered many ways to customize and deploy different plots. Bokeh has changed a bit since this course was created and this course could use some updating. Almost all of the changes were addressed in the questions, but a few took some hunting around to get the code to work. The deployment section is good and covers a few alternatives.
By Konstantin Leidman on 10/23/2020
Poor narration
By Mel Neubert on 10/16/2020
The covered content is really good, the exercises are really helpful.
So far for the good news.
Bad:
- text swims out of focus and that has nothing to do with my wifi connection
- the code wasn't prepared beforehand, so errors occur and are corrected during the course which leads to unnecessary length of the lecture and results in flaws in the structure - don't misunderstand me, that the coding is done while the next step is explained is great, and some editing, eg cutting out the mistakes would have been an additional courtesy, which is definitely missing
- Section 4, Bokeh Server, black background, tiny font size, not readable at all, then swimming out of focus and these corrections on the fly when the code doesn't work on the first try is really poor quality
- ColumnDataSource is explained nicely, but not taken to its full advantage, eg. 3 CDS are created when one would have been enough - also CDSview is missing
- Q&A is not answered
I just finished Section 4 - my feedback in between
By Scott Ginther on 10/1/2020
Some content is out of date. Missing py files.
By Anirudh Vats on 9/23/2020
Very well explained. Starts with the basics.
By Harinder Matharoo on 9/17/2020
This class was very informative. I didn't have any experience with Bokeh beforehand and after taking this class I feel pretty comfortable with it. I also did not understand how to set up a web server and now I understand the basics. I think students taking this course need to already be familiar with Python and if they have a little knowledge of HTML and Javascript, that's a bonus, but not required.
By Harinder Matharoo on 9/11/2020
This class was very informative. I didn't have any experience with Bokeh beforehand and after taking this class I feel pretty comfortable with it. I also did not understand how to set up a web server and now I understand the basics. I think students taking this course need to already be familiar with Python and if they have a little knowledge of HTML and Javascript, that's a bonus, but not required.
By Sunil Babu K C on 8/12/2020
Very good Learning
By Scott Bartkowski on 8/2/2020
Loved it, Artis does a great job explaining the concepts. Thank you.
By Gopinath Mandala on 8/2/2020
The examples covered are too basic. No details covered about passing data/info between multiple widgets etc. Also, I see no response to questions over last few months. No response even to the ones I posted. Looks like the instructor has moved on and is not watching for any questions etc. This is only my second course (out of nearly 30+ courses i took) at udemy where i rated it below 3.
By Sachin Gaware on 7/20/2020
Very good explanation of complex logics in filter function
By Ivan Carlos Pimentel da Cruz on 7/3/2020
At aqui, sim.
Quality Score
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Overall Score : 86 / 100









