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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.
4.4
4.4/5
(1,150 reviews)
9,198 students
Created by

9.5

CourseMarks Score®

10.0

Freshness

8.6

Feedback

9.3

Content

Platform: Udemy
Price: $17.99
Video: 6h 47m
Language: English
Next start: On Demand

Top Data Visualization courses:

Detailed Analysis

CourseMarks Score®

9.5 / 10

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

Freshness Score

10.0 / 10
This course was last updated on 8/2021.

Course content can become outdated quite quickly.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.

Student Feedback

8.6 / 10
We analyzed factors such as the rating (4.4/5) 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.

Content Score

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 4 hours 54 minutes of 131 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.

Table of contents

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.

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.

Requirements

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

This course is for

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

How much does the Interactive Data Visualization with Python and Bokeh course cost? Is it worth it?

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 $14.0 of 131 Data Visualization courses. So this course is 7% more expensive than the average Data Visualization course on Udemy.

Does the Interactive Data Visualization with Python and Bokeh course have a money back guarantee or refund policy?

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 SCHOLARSHIPS 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 is the instructor? Is Ardit Sulce a SCAM or a TRUSTED instructor?

Ardit Sulce has created 6 courses that got 65,182 reviews which are generally positive. Ardit Sulce has taught 353,743 students and received a 4.6 average review out of 65,182 reviews. Depending on the information available, Ardit Sulce is a TRUSTED instructor.
Python Programmer. Founder and Author, PythonHow.
Hi, I am Ardit! I am a Python programmer and teacher. I graduated in 2013 with a Master of Science in Geospatial Technologies from the University of Muenster in Germany.

I have worked with companies from various countries both as an employee and self-employed using Python together with companies such as the Center for Conservation Geography to map and understand Australian ecosystems, processing orthophotos with the Swiss in-Terra, and performing data mining to gain business insights with the Australian Rapid Intelligence. I am also the founder and author of PythonHow, a Python learning resource designed particularly for people with no previous programming experience.

If you are interested in Python, I would suggest the following roadmap to becoming a Python developer.

Start by first taking my course, The Python Mega Course: Build 10 Real World Applications, and then take my other course, Advanced Python by Example. Both courses are listed here on my profile page. Both courses are designed around learning Python by practice rather than rote memorization.

The mega course will guide you step by step, starting with Python basics and all the way to building real-world Python programs, including GUIs, web apps, web scrapers, mobile apps, etc. Once you complete that course, take the other one.

The advanced course will take you to a new professional level, teaching you Python from a deeper computer science perspective, covering programming logic, and giving you the skills for building complex, professional applications in an object-oriented programming (OOP) style. After you complete the second course, you can practice Python even further by remaking the 10 apps of the first mega course, but this time in OOP style. If you can manage to do that, you will be job-ready.

9.5

CourseMarks Score®

10.0

Freshness

8.6

Feedback

9.3

Content

Platform: Udemy
Price: $17.99
Video: 6h 47m
Language: English
Next start: On Demand

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