Interactive Data Visualization with Python & Bokeh

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Interactive Data Visualization with Python & Bokeh. A complete guide to building interactive and beautiful data visualization web apps using the Python Bokeh library.

95,00  10,00 

The name of this course is Interactive Data Visualization with Python & Bokeh. The knowledge you will get with this indescribable online course is astonishing. A complete guide to building interactive and beautiful data visualization web apps using the Python Bokeh library..
Not only will you be able to deeply internalize the concepts, but also their application in different fields won’t ever be a problem. The instructor is Ardit Sulce, one of the very best experts in this field.

Description of this course: Interactive Data Visualization with Python & Bokeh

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. The course has seven hours of video content and it is packed with eight exercises to help 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 around four weeks to complete assuming you devote a 10-20 hour / week depending on your productivity skills. You also get daily instructor support in the student forum inside the course which guarantees your success.

Requirements of this course: Interactive Data Visualization with Python & Bokeh

What are the requirements? A working computer (Windows, Mac, or Linux) Basic knowledge of Python

What will you learn in this course: Interactive Data Visualization with Python & Bokeh?

What am I going to get from this course? Build advanced data visualization web applications using the Python Bokeh library. Create web plots for impressive and modern presentations of data findings. 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.

Target audience of this course: Interactive Data Visualization with Python & Bokeh

Who is the target audience? Anyone involved in the data industry Anyone who is already familiar with Python basics