Data Visualization on the Browser 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
Produced in 2018
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.
Quality Score
Overall Score : 86 / 100
Course Description
Bokeh is a brand new data sciencelibrary that is gaining traction fast so it's smart to be ahead of the competition and packthe skills in your portfolio.
Whether you are a data analyst, data scientist, statistician or any other specialistin the data industry this courseis perfect for you as it will give you the skills to visualizedata in a way thatexcitesyour audienceandeventuallysells your product or your ideamuch easier. All you need to have to learn Bokehis some basic priorknowledge of Python.
The course also contains exercises tohelp you check your skills as you progress. You will be given access to various data samples and will be provided with additional examples to enforce your Bokeh skills. The course is estimated to take you aroundfour weeks to completeassuming you devote a 10-20hour /weekdepending on your productivity skills. You also get daily instructor support in the student forum inside the course which guarantees your success.
Who this course is for:
Anyone involved in the data industryAnyone who is already familiar with Python basics
Instructor Details
- 4.3 Rating
191 Reviews
Ardit Sulce
Hi, I am Ardit! I am a Python programmer and a Python teacher. I have worked with companies from many countries both as an employee and as self-employed. I have used Python as a data science tool and a language to develop both desktop and web applications. Some of the projects I have worked on have been using Python together with the Center for Conservation Geography to map and understand the Australian ecosystems, process drone land images with the Swiss in-Terra, and performing data mining to gain business insights with the Australian Rapid Intelligence.
I will teach you how you can use Python, just like I do. I take care to explain the programming concepts assuming my students don't have a computer science background. Indeed, you don't need a computer science degree to become a programmer.
I was graduated with a Master of Science in Geospatial Technologies from the University of Muenster in Germany. I am also the founder and author of PythonHow, a Python learning resource designed particularly for people with no previous programming experience. Try out one of my courses, and you will be on for an exciting ride.
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