Data Science Blogathon - 40

Online 08-01-2024 12:00 AM to 31-01-2024 11:59 PM
  • 3674


  • Assured Rewards + Total prizes worth INR 6 Lakh(≅USD 8000)


Data Science Blogathon 40th 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 40th Edition. We take pride in publishing over 6000+ articles written by 850+ 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 40th 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'
  • Are you excited to be a part of our Data Science Community?

How do I Participate?

The competition starts on 8th January 2024. 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:

You can also refer to the video below for a virtual walk-through of the 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 Janaury, all AVCC Members will have 30 days of free access to our AWS course!


In case you have any queries or concerns, reach out to us at [email protected]

  • 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 January 31st, 2024, 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.
  • While submitting article the author agrees to take the responsibility and liability of taking due permissions from the respective sources from where they are taking the illustrations(data, tables, figures) which are propriety or not free to use or belonging to some other publication (any scientific journal, paper or article) elsewhere. 
  • Analytics Vidhya under no circumstances will be held responsible for unauthorized usage of content (parts of your article, illustrations, tables, charts) copied from other sources. The article will be taken down if any claim about any content in your article is made, by the authentic sources and the claim is found to be reasonable.

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: Langchain, Finetuning LLms, Diffusion Models, LLAMAINDEX, Vector Database, Prompt engineering, LORA, Large Language Models, Model Quantisation, BITS AND BYTES, QLORA, TRANSFORMER, ENCODER and DECODER, BERT, GAN, PEFT, RAG ( Retrival Augmented Generation), Chatgpt Plugins, LLMOPs, RLHF, Multimodal, LLAMA, Palm 2, GPT 4, xgboost2.0


Article Topics to be Rejected

  • Regression: Linear/Logistic/General 
  • LSTMs
  • K- Means
  • Clustering
  • Introduction to Machine Learning
  • Cloud Computing Basics/Introduction/Overview
  • Data Science Basics/History/Facts/Interview Questions
  • Basics of NLP 
  • Basics/ Introductory articles on Blockchain

Note: Please add FAQ section (5 questions) after the conclusion and key takeaways section at the end of your article. Please check this article for FAQ format and reference:

Guides: One-Stop Resource on Specific Topics

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

Note: 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.

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


In case you have any queries or concerns, reach out to us at [email protected]

The 40th edition of the Data Science Blogathon has concluded, and we are delighted to announce the winners, category-wise.

List of Winners by the Views Category:

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.

Subhradeep Rang

Blogathon 24 iPad Winner

Data Science blogger

I have been writing on the AnalyticsVidhya platform since May 2022 and have learned many things by writing 8 articles until now . In my college days, I worked on some projects on Web Scraping, Data Science and Machine Learning, but as those were all done by me, I don't know if I was doing something wrong. If I want to know this, I must get feedback from somebody familiar with my domain. First, I started writing on Medium. But there I face a little problem- I don't get views in my articles. So I started searching for a platform where I could get a good amount of audience. Then I learned about the Data Science Blogathon organized by AnalyticsVidhya every month. I started writing articles here. The main thing I like most is that they will give feedback on your article. For this, you will get a chance to rectify your errors. Those Blogathons also help me get a good grip on my data analysis skills.

In this fantastic learning journey, I also achieved in Blogathon 22 - one of my articles got 3rd place in the Guides category, which gave me extra rewards. I was excited when I came to know about this. And if you are lucky enough, you can also win an iPad from this blogathon - yes, an iPad. Every month they organize a lucky draw for those contributing to their platform. I am delighted to share that I got an iPad 9th generation in the Blogathon 24 lucky draw. If you want to strengthen your core concepts of the Data Science domain, then writing articles is the best way!

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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