Data Visualization with D3.js: Step-By-Step Tutorial

This course seeks to take you on a journey to learn to create beautiful visualizations of information using D3.js. D3.js, where D3 stands for data–driven documents, is an amazing JavaScript library which is known among data analysts, engineers, mathematicians, and developers worldwide as an advanced data visualization tool. Its ability to bring data to life in the form of graphics is what has made it so widespread in its use, scope, and popularity. If you want to create interactive charts, data trees, infographics, geospatial charts, and maps efficiently, then this course is your ideal choice to master interactive data visualization with D3.js V4. 

This course includes a number of extensive examples to help you hone your skills with data visualization using D3.js. Throughout the course these examples will help you acquire a clear practical understanding of the various techniques, tools, and functionality provided by D3.js. You will first setup your D3.js development environment and learn the basic patterns needed to visualize your data. You will then learn techniques to optimize different processes such as working with selections, animating data transitions, creating graphs and charts, integrating external resources (static as well as streaming),  visualizing information on maps, working with colors and scales, utilizing the different D3.js APIs, and more. This course will also guide you through creating custom graphs and visualizations, and show you how to go from the raw data to beautiful visualizations. The extensive examples will include working with complex and real time data streams, such as seismic data, geospatial data, scientific data, and more. Finally, you will build five unique data visualization projects to get a complete hold of the topic.