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.
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.
Kunal Jain is the Founder and CEO of Analytics Vidhya, one of the world's leading communities of AI professionals.
With over 17 years of experience in the field, Kunal has been instrumental in shaping the global AI landscape. His expertise spans diverse markets, from developed economies like the UK to emerging ones like India, where he has successfully led and delivered complex data-driven solutions. As a recognized thought leader, Kunal has empowered countless individuals to realize their AI ambitions through his visionary approach to AI education and community building.
Before founding Analytics Vidhya, Kunal earned both his undergraduate and postgraduate degrees from IIT Bombay and held key roles at Capital One and Aviva Life Insurance across multiple geographies. His passion lies at the intersection of analytics, AI, and fostering a thriving community of data science professionals.
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.
Which is better bokeh or d3.js if someone is working in Python