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The Agile Entrepreneurship Podcast

Building a Data Science Training business with Kunal Jain

Subscribe & Download Listen on Apple Podcasts Listen on Google Play Follow us onSoundCloud Listen on Spotify Guest: Kunal Jain https://vimeo.com/450499038 Episode Transcript 00:06 Ramesh: Hello everyone. Welcome to one more episode of the agile entrepreneur podcast and video cast. And this is your host Ramesh Dontha. And today I'm very, very excited to introduce a guest who I’ve been meaning to talk for quite some time. His name is Kunal Jain. Kunal is the founder and CEO of Analytics Vidhya. Analytics Vidhya is one of the largest data science community across the globe and Analytics Vidhya helps millions of people every month in the data science learning and helps its community members find the dream jobs, focuses on education and training and then jobs. And before starting Analytics Vidhya Kunal graduated from the India's prestigious Indian Institute of technology in Bombay studying aerospace engineering and joined capital one as a business analyst in UK in 2006 and later on he decided to start Analytics Vidhya. So let's talk to Kunal on his journey, why he did what he did. Kunal Welcome. 01:11 Kunal: Thanks. Thanks, Ramesh, for that lovely introduction and really excited and happy to be here on the show. I've been wanting to talk for a long time. But thanks for inviting me and looking forward to the session. 01:30 Ramesh: Definitely no worries at all. So Kunal let's take it from the beginning. So right now you are the CEO of Analytics Vidhya. So tell the audience and tell me about what is Analytics Vidhya and even though I introduced it in your own words, what does it do? 01:49 Kunal: Sure. The vision behind Analytics Vidhya is to create a platform where every data science professional can come and get their knowledge and career needs addressed in form of the platform in the community, which is there on the platform. So you know, if you think about the career needs data scientists, there are broadly for different needs which they have. So that is learning on a day to day basis. So that happens through various blogs, which we publish a lot of education material along with some free courses and paid courses. Recently we also started a boot camp, so maybe I’ll explain that a bit more, but this is like a physical nine-month program with people in there. Engagement happens through a whole lot of community activities starting from meetups, webinars, podcasts and you know, the biggest run which we do is a conference in India called Data hacks Ramesh. That happens in November every year. Then there is competition. So we organize you know, very short duration competitions or two-day competitions to 15-day competitions where companies give their data sets and problems to our community and the community solves them. So from a community perspective, you get the best data scientists to compete on the problem you want to solve. From a data scientist perspective, you get a whole variety of problems to work upon instead of just being siloed on the industry you are work...
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