95% off Interactive Data Visualization with Python & Bokeh (Coupon)

Interactive Data Visualization with Python & Bokeh - Udemy Coupon

Get Discount


Bonus: download a free guide that reveals 11 tricks for getting the biggest discounts on Udemy courses, including this course.

Coupon & course info

Course Name: Interactive Data Visualization with Python & Bokeh

Subtitle: A complete guide to building interactive and beautiful data visualization web apps using the Python Bokeh library.

Instructor: Taught by Ardit Sulce, Python and GIS Expert, Founder of PythonHow.com

Category: Business

Subcategory: Data & Analytics

Provided by: Udemy

Price: $95 (before discount)

Free coupon code: See above (no charge for coupon)

Review info & popularity

As of January 2, 2017…

Students: 903 students enrolled

Ratings: 53 reviews

Rank: ranked #85f in Udemy Business Courses

Brief course description

Course released on 10/27/2016

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 which is a Python library for building advanced and modern data visualization web applications. The course will guide you step by step starting 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 internet from their browsers. Bokeh is a brand new data science library that is gaining traction fast so it’s smart to be ahead of the competition and pack the skills in your portfolio.

Whether you are a data analyst, data scientist, statistician or any other specialist in the data industry this course is perfect for you as 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.

(Read more about this course on the official course page.)

Ardit Sulce bio

Ardit received his master’s degree in Geospatial Technologies from the Institute of Geoinformatics at University of Muenster, Germany. He also holds a Bachelor’s degree in Geodetic Engineering.

(Learn more about this instructor on the official course page.)

Recommended courses

If you like this course, you might also be interested in:


1. Networking Growth Hacks: Take Your Career to the Next Level

Taught by 3 Business, Personal and Social Media Networking for Growth Relationship Experts

Taught by Prof. Chris Haroun, Award Winning MBA Professor, Venture Capitalist and Author.


2. Amazon Kindle Publishing Masterclass – Self-publish an eBook

A Step-by-step Guide to Researching, Writing, Editing, Formatting, Publishing and Marketing Your Book.

Taught by David James Ault, Author, Internet Marketer & Udemy Instructor


3. How to work from home as a consultant…

The only certification that will have you working as a freelance consultant from home…

Taught by Luther Landro, Success and sales coach


4. Manager Masterclass – Develop Your Leadership Skills

Leadership Skills. Management Skills. Communication Skills Training. Leadership Development. Body Language For Business.

Taught by Dr. Roy Naraine, Medical Doctor, Coach, Award Winning Udemy Instructor


5. Project Management Professional: PMP Practice Tests

Test your skills with 3 full practice exams through our newest product offering – Certification Practice Tests.

Taught by Joseph Phillips, PMP, PMI-ACP, Project+, Certified Technical Trainer

Final details for this Udemy course

Languages: English

Skill level: All Levels

Lectures: 82 lessons

Duration: 7.5 hours of video

What you get: Build advanced data visualization web applications using the Python Bokeh library.

Target audience: Anyone involved in the data industry

Requirements: A working computer (Windows, Mac, or Linux)

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons