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Excitement going up at Analytics Vidhya (and I can’t stop smiling)!

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Guess what…we will celebrate our first year anniversary shortly. Last year has just flown by! I still remember the excitement and the anxiety I had while writing my first article on Analytics Vidhya. I had no clue, whether people will read what I’ll write, whether they will like and appreciate it. I didn’t know how things will pan out (I still don’t). What I did know was that I wanted to write and build a community of analysts, where they could learn from each other.

And the year has been nothing short of amazing! Our readers love what we write, they come back to read our new articles time and again. We relish writing articles, doing our research before writing them, listening back from our audience through comments, mails and one on one interactions. We love sleeping with our mind full of new and exciting articles / case studies / tips.anniversary

In our efforts to make Analytics Vidhya more meaningful for our audience, we are taking new (baby) steps. We are very excited about these new initiatives and can’t hide is any more. Following are the new initiatives which have doubled tripled up excitement at Analytics Vidhya:

  • Starting analytics training – Professional training is heart of analytics learning. And the supply for good quality training is limited. So, we couldn’t stop from getting our hands dirty! We will keep a high bar on quality of trainings (similar to all our content) and hope that through these trainings, we will have lot more active role to play in analytics learning of our audience.

The first course which we are launching is a Summer training aimed towards beginners. This course aims to provide deep understanding of basics of analytics. By end of this course, you will be able to build a simple predictive model (in excel). The idea behind this course is not to make you technically proficient in a tool (like most of the trainings out there), but to really drive home the basic fundamentals of statistics and analytics.

So, if you are a fresher looking to enter this industry, a college student passing out in an year or MIS professional looking for a shift to analytics, this could be the course you might be looking for. In order to deliver this training, we have partnered with Internshala. They have tremendous reach among college students and combined we will reach out to the right audience for the course.

If you are interested in this course, we are running an early bird discount offer. The earlier you sign up, the better it will be! You can find more details here.

  • Creating a job alerts platform – Next important aspect for an analyst is to be aware of available career opportunities. In order to help our readers on this, we have launched a job alerts platform. On this platform, you can see some of the best jobs we come across. It is a very basic alerts page to start with. Over time, this will become a single place for looking and searching for analytics jobs (globally). I’ll keep you posted how this develops further.

We have kept job alerts out of the RSS feed / email subscription for now. In next dew days, we will provide a way to sign up for these individually.

In order to keep up with the pace of changes we are driving and make sure we deliver absolute best to our audience, I have decided to devote all my working hours to Analytics Vidhya. Yes, that’s right, over next few weeks, I’ll hand over my responsibilities at my full time employment and become self-employed.

We are absolutely in love with what we are creating for our audience. We hope that each of these initiatives will make Analytics Vidhya more meaningful for you. Do let us know what you think about these new initiatives. What would you want out of them? Any suggestions / feedback / questions? Please feel free to comment / reach out to us, we want to hear more from you.

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

12 Comments

  • shiv says:

    Hi Kunal,
    feel good to know about your new venture.
    1 Straight Questions : Does it would be helpful to a person with a 4-5 year experience in Digital Marketing who want to switch in Analytic Industry?

    • Kunal Jain says:

      Shiv,

      This course would definitely be helpful as a first overview of business analytics. You will go through all the required concepts of statistics, overview of predictive modeling and will be building first predictive model by end of course.

      Given the nature, it will benefit freshers, college students and MIS professionals in improving their career prospects. Same thing holds for a Digital Marketing person, but at an entry level.

      If you are looking for a more advanced / experienced position, you should take up a more advanced training. We plan to launch some advanced ones later this year.

      Regards,
      Kunal

  • Vishwash Raj Verma says:

    Great Work!!!

    I would like to help my junior friends by informing them about the great Summer Training Course on Analytics, as they are much interested to learn analytics.

    Thanks Kunal Jain, I must say they will be benefited by the great new course for the freshers..

    Regards,
    Vishwash

  • BellurSrikar says:

    Hi,

    I have been following your blog for a few months now. it is very interesting and educational.
    What you are doing is definitely great service to the population segment hungry for analytics knowledge.
    Keep up the good work.

    I live in Washington DC. But would love to meet with you personally my next visit to India.

    Wish you all the success and the very best in your next venture.

    Best Regards,
    Srikar

  • Jayana Natalia Charles says:

    Hi Kunal

    Just a few questions!!!

    – Is this course self paced? Would I need to complete it within a certain time period? Or would I have access to it always?
    – If in case I miss the sessions, can I attend them later on?
    – Is completion of the project a must for certification? If yes, then can I complete the project at my pace and submit it? (I don’t mean 2 years or anything….maybe 2 months or so)

    I guess you would need to ask internshala to specify these things.

    Regards,

    Jayana

    • Kunal Jain says:

      Jayana,

      1. It is a self paced course. However, you will be expected to finish the course during the period of the course as doubt clearing sessions, practice environment etc. will become unavailable after the course ends. You will be able to download the tutorials in form of PDFs for your reference in future.

      2. It is a self paced course. You can pick up sessions later on.

      3. Yes, you will need to make a submission during the course. There is ample time kept so that a beginner can complete the final project.

      Hope this answers your questions.

      Regards,
      Kunal

  • Madhura K says:

    Hi Kunal, Tavish,
    Let me first Congratulate both of you on completion of the first year of AnalyticsVidhya. I have been an avid reader of this blog. This is an excellent intiative by both of you.
    The choice of topics have been consistently exciting keeping me looking for more as a browse the site almost daily.
    The ‘formal training’ initiative is really good alongwith the job alerts platform which completes the loop.
    Thanks again and look forward to hearing from you during the training.

    Thanks,
    Madhura

  • Suvayan Saha says:

    Sir,

    Thank you for posting such highly informative articles.. These have been of immense help.

    I have some beginners knowledge of SQL and used it in SAS environment. But i would like read more about SQL.

    1) in analytics industry, SQL is used more widely in Access , or in SAS? or in some other environment?
    2) Can you please suggest some materials, where i can learn more on SQL?

    Thanks in advance !!

    • Kunal Jain says:

      Suvayan,

      Here are answers to your questions:

      1. It depends on which part of the spectrum you are referrring to. For reporting Access is more widely used. On the other hand, for predictive modeling, SAS is more popular.

      2. Again, depends on the tool. Internet is the best place to start.

      Thanks,
      Kunal

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