Master Interactive Data Visualization with Python & Bokeh
What you will learn:
- Craft interactive, web-based visualizations with the Bokeh Python library.
- Design visually appealing plots that effectively communicate your data.
- Create interactive widgets that allow users to explore your visualizations.
- Master Bokeh's styling options to create visually captivating plots.
- Integrate and visualize data from Pandas DataFrames seamlessly.
- Build dynamic graphs that update in real-time for captivating data storytelling.
- Visualize time-series data effectively.
- Integrate your Bokeh visualizations with Flask web applications.
- Deploy your data visualization apps to live servers for wider access.
- Learn to troubleshoot and debug Bokeh applications for smooth development.
Description
Unlock the power of Bokeh, a cutting-edge Python library, and transform your data into captivating interactive web visualizations. This comprehensive course guides you from beginner to expert, empowering you to build stunning data dashboards and web applications that engage your audience.
Learn to create interactive plots, build user-friendly widgets, and seamlessly integrate data from Pandas DataFrames. Master advanced styling techniques to craft visually appealing graphics, and delve into the world of real-time data visualization with dynamic graphs.
Whether you're a data analyst, scientist, or simply looking to elevate your data storytelling abilities, this course provides the skills you need to impress clients, communicate insights effectively, and bring your data to life.