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Data Science Blogathon - 26

Online 08-11-2022 12:00 AM to 30-11-2022 11:59 PM
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  • Assured Rewards + Total prizes worth INR 6 Lakh(≅USD 8000)

    Prizes

Data Science Blogathon 26th Edition

The best way to learn any concept, specifically in Data Tech, is by sharing it. Knowledge sharing not only helps you understand what you learned in more detail but sharing it with the community helps others understand how a particular Data Tech idea works.

Analytics Vidhya has always been at the forefront of knowledge sharing, and we want to continue this trend among our community members/thought leaders/ industry experts.  

We are thrilled to announce the beginning of Analytics Vidhya’s Data Science Blogathon 26th Edition. We take pride in publishing over 4500+ articles written by 800+ authors on diverse topics in Data Science, including Machine Learning, Deep Learning, Data Engineering, etc. We are only aiming to make it bigger, better, and wiser by each day.

Here’s what’s in store for you at Data Science Blogathon 26th Edition:

  • Best articles get published on Analytics Vidhya’s Blog Space
  • One-on-one feedback to each author
  • Recognition with a global audience base
  • Assured rewards on each published article
  • Higher rewards scheme for ‘Top 3 Articles of the Month'
  • Chance to win an Apple iPad every month*

Are you excited to be a part of our Data Science Community?

How do I Participate?

The competition starts on 8th November. To enter the competition, just press the register button above. Once you are registered, gather your thoughts and start writing. Here are a few pointers to make your writing and submission journey smoother:

  • It takes 36-48 hours to review and provide feedback on each article.
  • Once you see ‘Shortlisted’ on the Editor, give it up to 48 hours for the article to reflect on the Analytics Vidhya blog.

You can also refer to the video below for a virtual walk-through of the Registration process and Editor Platform.

What is AVCC?

AVCC or Analytics Vidhya Creators’ Club is a community of loyal and applauded data science mavericks. All you need to join this club is to get 3 or more of your articles published in Blogathon/s.

The membership comes with a plethora of benefits. You get upto ₹1800/$24 for every published article and a chance to showcase your work to a community of 3 million+. For more information on the benefits, head over to the “Rewards” tab above.

Starting from 8th November, all AVCC Members will have 30 days of free access to our AWS course!

Warm Welcome our New AVCC Members

Blogathon Timeline

ALT
  • The content of your article(s) shall be unique and not published anywhere else.
  • Each article will be strictly checked for plagiarism, paraphrasing, and spun.
  • The article must have 1000 words, failing which they will be rejected.
  • You are free to make as many submissions as you want. But don’t make multiple submissions of the same article.
  • All the image sources and article references shall be cited at the end of the submission.
  • The submissions will close on November 30th, 2022, 23:59 IST (GMT +5:30 hrs)
  • You are not allowed to re-publish any of your articles elsewhere.
  • We monitor the traffic on each article regularly. Analytics Vidhya holds the right to remove all suspicious traffic.
  • Analytics Vidhya has the right to disqualify/reject any submission.
  • The decision for all the awards, as declared by Analytics Vidhya, would be final.

Blogathon Timeline

What are the Prizes on Offer?

Base Price

Choose the Data Science content you want to create and win for each published article.

Base Prize

* Special Topics: MLOps, Web 3.0, Blockchain, Interview Questions, Data Engineering (Specific Topics)

*Note: Will be considering following topics only as special category topics:

Special Topics

A New Submission Category - Guides!

As mentioned above, we continue to publish "Guides". Guides are intended to be a one-stop resource on specific topics in Data Engineering, Machine Learning and related topics. Since we receive multiple entries for Guides, only one Guide per topic will be published.

Guide categories

Here is an example of a Guide: K Means Clustering | K Means Clustering Algorithm in Python

Feel free to explore any topic of your choice though - the only restriction is that it should be as comprehensive as possible and should be of a minimum of 2500 words in length. It should also be on a topic in the domain of Machine Learning, Deep Learning, Data Engineering, etc.

Rewards Based on Views: Bonus Rewards

bonus rewards

Winners Prize

  • The top 3 Articles will be judged based on the number of unique pageviews.

  • The top 3 Guides will be judged by the editorial team

Winner

 

Lucky Draw! - Stand a Chance to Win an iPad (9th Gen)!*

You read that right - you even stand an opportunity to win the new iPad (9th Gen)! Every author in the blogathon will be eligible to win an iPad through a lucky draw where a single winner will be chosen!

 
iPad

 

This is an unmissable opportunity to get your hands on the latest Apple iPad that has the world swooning. Imagine the writing and reading you’ll be able to accomplish on this blazing fast tablet.

*Terms and Conditions Apply


* Note that the final consideration of guide is an editorial decision which is based on how unique your guide's topic is and how comprehensively have you explained all components of that topic.

* Note that the article will have to be technical and code-based in nature to be eligible for the above special categories. Listicles or career articles will not count.

* All International payments will be made via Paypal

For India-based authors, Pan Card and other bank details are imperative

 

Hear from our Top Blogathon Authors

With a mission to share knowledge in the domain of Data Science, our authors are here to share their success stories based on their passion for writing and contributing to our community.

Alifia Ghantiwala

Blogathon 18 iPad Winner

Senior Associate at Morgan Stanley

I have been writing for Analytics Vidhya since April 2021 and that’s how my data science journey began. As I was learning data science on my own, it was essential to receive feedback. That is where Analytics Vidhya’s blogathon helped me. I would first read and research a topic, do projects from datasets available on Kaggle, and post which I would write articles on Analytics Vidhya through the Data Science Blogathons.

Analytics Vidhya has a large data science community, which provided me with visibility and enabled me to receive a freelance offer! Your understanding would only improve when you receive feedback from fellow data scientists, and constructive feedback from their editorial team. Data Science Blogathon happens every month, and you receive a guaranteed stipend if your article is published. And if you are consistent and lucky, you might also win an Ipad like me:) Yes, you read it right! I am delighted to share that I have received an Ipad, 9th Gen from Analytics Vidhya in Blogathon 18 lucky draw. Hence, I would encourage students who plan to build a career in Data Science could leverage this exciting opportunity.

Devashree Subhash Madhugiri

Blogathon 17 iPad Winner

Consultant at ShortHills Tech (Gold Microsoft Partner)

Analytics Vidhya is an excellent platform for knowledge-sharing on AI and Data Science. You'll find well-written articles, guides, and follow-along tutorials on the latest AI and Data Science topics contributed by several authors from diverse backgrounds and professional levels.

The monthly blogathons are a great way for students, freelancers, and professionals to showcase their expertise. The prizes and base rewards motivate authors to bring articles and guides on exciting topics. The feedback and the article publishing are quick, with timely paid remuneration for your contributions!

I have been regularly participating in the monthly blogathons since July 2021, and it has been a great experience. I have even won prizes for my article and guide, and I also won an iPad in the lucky draw for Blogathon 17!

I would highly recommend participating in the blogathon if you are a Data and AI enthusiast like me!

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