Welcome 2015 with new, better and more helpful Analytics Vidhya

Kunal Jain 18 Apr, 2015 • 3 min read

Over the last 12 months, we went from a small, little known blog on analytics to one of the most engaging and helpful community in Data Science across the globe.

If 2014 was big (for us), the plans for 2015 are grand!

Analytics Vidhya Logo

Before I pull out any rabbits from my hat, I want to thank our followers and audience. They have been the driving force behind our existence, our growth and our inspiration. Nothing beats the satisfaction we get in seeing / meeting / talking to a satisfied reader!

One of the things, which set us on this high growth trajectory is that we have listened to our audience! We have listened to every comment on our blog, every mail in our inbox, every social media interaction and the list goes on! And, it has helped us immensely. Whenever we had to decide between A or B, or take any important decision – it has always been guided by what our audience have said.

Whenever we are stuck with these questions, we always question ourselves – What is the best decision for our audience? And it has served us well. It goes without saying, that this is not changing in future.

 One of the things, which set us on this high growth is that we have listened! We have listened to every comment on our blog, every mail in our inbox, every social media interaction and the list goes on. And it has helped us immensely!

So, the first thing we want to do in 2015 is to listen more, participate more in discussions, in knowledge creation and in turn help out the larger community.

Analytics Vidhya Discuss:

Analytics Vidhya Discuss is a question and answer platform for data science professionals (or those who want to enter data science world). You can ask any question related to data science here. Here are a few examples:

  • An error you are facing while running your analysis in SAS / R / Python / Weka
  • Confusion on the best technique for a specific problem
  • Question on how to improve your clustering (or)
  • How to start your journey in data science

We are super excited and I am sure you would also be, once you look at our new Question and Answer platform – discuss.analyticsvidhya.com. This platform is one of the best platforms we have seen for asking questions and getting answers. It is super intuitive, easy to scroll and find relevant topics. We think that this platform should go on to become the place to discuss analytics and data science.

So, what are you waiting for? Go and test out Analytics Vidhya Discuss

Analytics Vidhya discussions

Coming soon – Website re-design:

We started our journey as a blog and the focus at the start was to test out whether we can help people with their analytics learning. We never thought we would add so much content in so little time. We also hacked a blog platform and used it for training listings and job alerts. While all of this has helped our readers and us, it has also resulted in a cluttered website.

So, we are re-designing the site. The site will get a new look shortly. We love the way new look is coming out and are working hard in tuning, fine-tuning and re-tuning it. It feels like we are dressing up a teen who is out to impress his / her friends in a party. Where do we put the social sharing buttons? How is the site looking on mobile devices? Different browsers? How do we ask users to login?

Do lookout for the new look and let us know your feedback.

 

End Notes:

We are starting the year in style – by launching Analytics Vidhya Discuss and re-designing Analytics Vidhya. The idea is to make it better and more helpful. We dedicate both these changes to our audience for their support and patronage and hope that Analytics Vidhya Discuss turns out to be our biggest gift to data science community across the globe.

Do check out these additions and let us know your feedback. As usual, we will be waiting to hear more from you.

If you like what you just read & want to continue your analytics learning, subscribe to our emails, follow us on twitter or like our facebook page.

Kunal Jain 18 Apr 2015

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.

Frequently Asked Questions

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Responses From Readers

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Rajarshi Chakraborti
Rajarshi Chakraborti 02 Jan, 2015

Way to go @AnalyticsVidhya.com. Hope this year you be landing up many more hits and I a career in data sciences.

Abhijit Ghatak
Abhijit Ghatak 02 Jan, 2015

Can you suggest how do I install rattle along with RGtk2 package in Mac OSX 10.9.5Thanks,- Abhijit

Anon
Anon 02 Jan, 2015

Nice move, AV Team. I'm looking forward to learning at the new forum.

Gopal
Gopal 02 Jan, 2015

Hi Kunal,Happy New Year!I'm a MBA Finance and Cost Accountant, I've been working as Manager Finance in software companies in core finance processes like AR, AP, GL and Project Accounting functions for last 10 years. Off late I've been reading a lot about business Analytics and have made up my mind to shift my career into it over next 1 year time frame.I wish ti become Business Analyst/Manager who interacts with customers to understand their business problem and devise a solution with the help of technical folks for it.As you can see I'm not from Science/Engineering/Software background which I belive may not be required for Analysts, however I'm bit confused how and where to start my training process, after reading a lot of articles i understand I need to get trained in SAS, R & Hadoop to start with, but when I see SAS website it has all the technical certifications and mentions nothing about the business analytics training part.I understand ISB course is best, however I cant afford it. Could you please suggest me a step by step or structured way to learn these technologies and start my career into the analytics field within next 1 year.Also advise how easy or difficult it is to make this shift from my Finance background to Analytics, also what are the chances of landing a Job in Analytics once I get trained.Appreciate your help.Thanks, Gopal

Rehan Singh
Rehan Singh 03 Jan, 2015

I wish you all the very best for your new assignment!!!

Nirmit Gang
Nirmit Gang 03 Jan, 2015

Hi Kunal,I wanted to discuss with you on the road that I might be thinking of taking - Data Analyst or Data Scientist, especially from a current stand point in my career.I would appreciate if you could find time in your schedule to have a small conversation with me and clear some of the doubts / questions that I have.Regards nirmit gang

Amit Karnad
Amit Karnad 07 Jan, 2015

Encouraging thoughts and details !!

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