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.
Contents and Overview
This training program includes 3 complete courses, carefully chosen to give you the most comprehensive training possible.
The first course, Creating Data Visualization with D3, 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. After that you will learn techniques to optimize different processes such animating data transitions, creating charts, and much more. You will also learn how to create custom graphs and visualizations, and how to go from the raw data to beautiful visualizations.
In the second course, Applied Data Visualization with D3, you will learn techniques to optimize different processes such as 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. The extensive examples will include working with complex and real time data streams. You will also learn to add custom shapes and paths using various D3 functionality.
In the third course, D3.js Data Visualization Projects, you will build two complete applications with D3.js. While you create apps from scratch, you will learn to implement the various features of D3.js. The projects start with a simple chart app, then move on to creating scalable data-intensive apps, typically dedicated to the big data domain. You will also create a complex business app that lets you feed your data and create interactive real time visualizations with various export options.
By the end of this course, you will have developed a strong foundation in D3.js and would be able to create breathtaking visualizations of data using its vast library.
Meet Your Expert(s):
We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:
Michael Heydt is an independent consultant, programmer, educator, and trainer. He has a passion for learning and sharing his knowledge of new technologies. Michael has worked in multiple industry verticals, including media, finance, energy, and healthcare. Over the last decade, he worked extensively with web, cloud, and mobile technologies and managed user experiences, interface design, and data visualization for major consulting firms and their clients. Michael's current company, Seamless Thingies , focuses on IoT development and connecting everything with everything. He is also a frequent speaker at .NET user groups and various mobile, cloud, and IoT conferences and delivers webinars on advanced technologies.