Data Visualization and D3.js
About this Course
Learn the fundamentals of data visualization and practice communicating with data. This course covers how to apply design principles, human perception, color theory, and effective storytelling to data visualization. If you present data to others, aspire to be an analyst or data scientist, or if you’d like to become more technical with visualization tools, then you can grow your skills with this course.
The course does not cover exploratory …
Data Visualization and D3.js
About this Course
Learn the fundamentals of data visualization and practice communicating with data. This course covers how to apply design principles, human perception, color theory, and effective storytelling to data visualization. If you present data to others, aspire to be an analyst or data scientist, or if you’d like to become more technical with visualization tools, then you can grow your skills with this course.
The course does not cover exploratory approaches to discover insights about data. Instead, the course focuses on how to visually encode and present data to an audience once an insight has been found.
This course is part of the Data Analyst Nanodegree.
Learn the fundamentals of data visualization and apply design and narrative concepts to create your own visualization.
[
Learn by doing! You will analyze existing data visualization and create new ones to learn about the field. At it’s core, data visualization is a form of communication. Learn how to be a great communicator and how to enable readers to walk away from your graphics with insight and understanding. This course also makes use of open web standards (HTML, CSS, and SVG) to create data visualizations.
,You can also learn how to…
,- communicate clearly with the best visual representation of your data
- tell stories, spark discussion, and create calls to actions for readers
- design graphics like ones from the NYTimes and other media companies
- how to use open web technologies to create an online portfolio of your work
- use visualization libraries (dimple.js and D3.js) to create graphics
]
lesson 1
Visualization Fundamentals
Learn about the elements of great data visualization.
Meet data visualization experts, learn about data visualization in the context of data science.
Learn how to represent data values in visual form.
lesson 2
Building Blocks
Learn how to use the open standards of the web to create graphical elements.
Select elements on the page, add SVG elements, and how to style SVG elements.
Instructor Notes throughout this lesson are available if you have little or no experience with HTML and CSS.
lesson 3
Design Principles
Which chart type to use for a data set.
Colors to avoid when making graphics.
How to determine if a graphic is effective.
lesson 4
Dimple js
Create graphics using the Dimple JavaScript library.
Learn about this library as a gentle coding introduction before learning about D3.js.
Produce great graphics with minimal code and interactivity without any extra effort.
lesson 5
Narratives
Learn how to incorporate different narrative structures into your visualizations.
Learn about bias in the data visualization process and learn how to add context.
lesson 6
Animation and Interaction
Learn how to leverage animation and interaction to bring more data insights to your audience.
Learn how to create a bubble map for the World Cup data set.
