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Newbie to D3.js Expert: Complete path to create interactive visualization using D3.js No ratings yet.

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From Analytics Vidhya:

“I think that the popularity of D3.js in data science fraternity is not in sync with its true potential. The main reason being that it requires a different skill set (for e.g. HTML, CSS and knowledge about JavaScript) than most of the mainstream tools for data science or machine learning. Also, there are readily available tools like QlikView and Tableau which provide this facility.

However, when you want customized dashboards / data stories delivered on web at a low cost, D3.js is one of the best tools available. And hence we thought of creating this learning path.

We’ve designed a learning path for novices below. If you find it intimidating at first, don’t worry that’s natural. But, if you promise to take your first step in D3.js, we promise that we’ll constantly help you in overcoming successive hurdles.”

This curriculum consists of the following steps:

  • Step 0: Motivation – Why learn D3.js?
  • Step 1: Learning the basics – HTML, CSS, SVG, Javascript
  • Step 2: Downloading, Installing and running D3.js
  • Step 3: Start Working on D3 – first example
  • Step 4: Practice Time

Recommended Prerequisites: "This learning path has been designed assuming you are a newbie to coding and web development languages (HTML / CSS and JavaScript). If you know them already, you can skip the corresponding sections."

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