Kunal Jain — Published On February 3, 2016
Beginner Business Intelligence Data Visualization Learning Path

We launched our learning paths last year and to say the least, they were a runaway hit!

The aim of these learning paths is to take away confusion in learning for newbies. If you haven’t checked them out and are learning a tool / technique, you should definitely check them out.

complete learning path to master d3.js

Today, I am pleased to announce the launch of learning path to master D3.js. For those of you who don’t know about D3.js, D3.js is a tool to create interactive data stories over the web.

So, go out and check what it takes to learn D3.js.

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About the Author

Kunal Jain
Kunal Jain

Kunal is a post graduate from IIT Bombay in Aerospace Engineering. He has spent more than 10 years in field of Data Science. His work experience ranges from mature markets like UK to a developing market like India. During this period he has lead teams of various sizes and has worked on various tools like SAS, SPSS, Qlikview, R, Python and Matlab.

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2 thoughts on "Launching learning path to master D3.js"

Angus says: February 03, 2016 at 9:44 am
The learning path is really helpful. People should also consider other libraries that sit on top of D3.js such as Dimple.js. This basically takes away some of the complexity in the D3 code and breaks charts down into elements that a data scientist is more likely to understand e.g. you can easily code what you want your x-axis, y-axis, measure and dimension to be on a bar chart. Reply
Harmandeep Singh
Harmandeep Singh says: February 18, 2016 at 6:47 am
Which is better bokeh or d3.js if someone is working in Python Reply

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