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 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.
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.
Which chart type to use for a data set.,Colors to avoid when making graphics.,How to determine if a graphic is effective.
Learn how to incorporate different narrative structures into your visualizations.,Learn about bias in the data visualization process and learn how to add context.
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.
Gregory J Hamel ( Life Is Study) completed this course and found the course difficulty to be medium.
Udacity's Data Visualization and D3.js is one of two new intermediate data science courses Udacity released this month, the other being an introduction machine learning. This course consists of 4 lessons covering visualization and D3.js basics, design...
Data Visualization with D3.js is not a bad course and I could see other students liking more than I did, but after taking Udacity's excellent Exploratory Data Analysis course, it was a disappointment. In the EDA course, you jump in and start generating tons of plots in R and actually get to the point where you are reasonably comfortable using ggplot2 to make plots by the end. If are looking to learn D3.js specifically, this course could be a good starting point, but for learning data visualization in general, D3.js seemed to be more of a barrier to learning than an asset. I'd liken this course to an introductory programming course that uses C. Starting with a lower level language like C can be a bit painful and it takes longer to get to the point where you are doing interesting things--time you don't have in a 4 lesson course.
I give this course 3 out of 5 stars: Satisfactory.