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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.
4.2
4.2/5
(1,275 reviews)
10,164 students
Created by

9.2

Classbaze Grade®

9.5

Freshness

8.2

Popularity

9.3

Material

A complete guide on creating beautiful plots and data dashboards on the browser using the Python Bokeh library.
Platform: Udemy
Video: 6h 47m
Language: English
Next start: On Demand

Best Data Visualization classes:

Classbaze Rating

Classbaze Grade®

9.2 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

9.5 / 10
This course was last updated on 11/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

8.2 / 10
We analyzed factors such as the rating (4.2/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.3 / 10
Video Score: 8.6 / 10
The course includes 6h 47m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 5 hours 08 minutes of 163 Data Visualization courses on Udemy.
Detail Score: 9.4 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

26 articles.
7 resources.
0 exercise.
0 test.

In this page

About the course

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.

What can you learn from this course?

✓ 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.

What you need to start the course?

• A working computer (Windows, Mac, or Linux)
• Basic knowledge of Python

Who is this course is made for?

• Anyone involved in the data industry
• Anyone who is already familiar with Python basics

Are there coupons or discounts for Interactive Data Visualization with Python and Bokeh ? What is the current price?

The course costs $17.99. And currently there is a 81% discount on the original price of the course, which was $94.99. So you save $77 if you enroll the course now.
The average price is $16.0 of 163 Data Visualization courses. So this course is 12% more expensive than the average Data Visualization course on Udemy.

Will I be refunded if I'm not satisfied with the Interactive Data Visualization with Python and Bokeh course?

YES, Interactive Data Visualization with Python and Bokeh has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Interactive Data Visualization with Python and Bokeh course, but there is a $77 discount from the original price ($94.99). So the current price is just $17.99.

Who will teach this course? Can I trust Ardit Sulce?

Ardit Sulce has created 6 courses that got 73,102 reviews which are generally positive. Ardit Sulce has taught 397,899 students and received a 4.5 average review out of 73,102 reviews. Depending on the information available, we think that Ardit Sulce is an instructor that you can trust.
Python Programmer. Founder and Author, PythonHow.
Hi, I am Ardit! I am a Python programmer, teacher, and founder of PythonHow. I graduated in 2013 with a Master of Science in Geospatial Technologies from the University of Muenster in Germany with a focus on using Python for remote sensing.
I have worked with companies from various countries, such as the Center for Conservation Geography, to map and understand Australian ecosystems, image processing with the Swiss in-Terra, and performing data mining to gain business insights with the Australian Rapid Intelligence.
If you want to learn Python through my courses, I propose the following learning path: Start with The Python Mega Course 2022: Build 10 Real-World Applications. Students love that course as a comprehensive real-world guide to Python and building programs with Python. After finishing that course, take my Automate Everything with Python course if you want to use Python to make small-to-medium programs. That course contains everything you need to start using Python as your swiss army knife. On the other hand, if you are interested in making large applications, my advanced course Advanced Python: Python OOP with 10 Real-World Programs would be a better choice. All the courses are listed here on my Udemy profile page.
Browse all courses by on Classbaze.

9.2

Classbaze Grade®

9.5

Freshness

8.2

Popularity

9.3

Material

Platform: Udemy
Video: 6h 47m
Language: English
Next start: On Demand

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