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.

What you'll 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.

If you love Python and want to impress your clientsor youremployerwith impressivedata visualization on the browser, Bokeh is the way to go. This course is a complete guide to mastering Bokeh, a Python libraryforbuildingadvanced 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 inreal-time and allow web users to interact and change the behavior of your plots via the internetfrom their browsers.

Whether you are a data analyst, data scientist, statistician, or any other specialistwho deals with data regularly, this courseis perfect for you. 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 provided with additional examples to enforce your Bokeh skills. The course is estimated to take you aroundfour weeks to completeassuming you devote 10-20hours/weekdepending on your productivity skills.