Data Science Blogathon - 21
About the Event
The 21st edition of the Data Science Blogathon has concluded and here is the list of winners by the Views their articles got:
List of winners in the Guides category:
Data Science Blogathon 21st Edition
The best way to learn any concept, especially in Data Tech, is by sharing about it. That 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 delighted to announce the launch of Analytics Vidhya’s Data Science Blogathon 21st Edition. We have published approximately 4000 articles written by 700+ authors on various topics in Data Science such as Machine Learning, Deep Learning, Data Engineering, etc. And, we are aiming to make it bigger.
We will not only publish the best articles on Analytics Vidhya’s blog, but also provide feedback to every writer on their article. Along with recognition in front of a global audience, there are lucrative prizes to be won also! Are you ready to join our 'Data Science Community'?
In this edition, we are coming up with an Author Referral Program. This will help our existing authors to invite their peers/friends/leaders/gurus to share their knowledge with the community as well.
How do I Participate?
To enter the competition, just press the register button above. Once the competition starts on June 8th, please head over to https://editor.analyticsvidhya.com/ and start writing. It's that simple!
Note that it takes us up to 36-48 hours to review and provide feedback for each article. And once you see ‘Shortlisted’ on the Editor, give it up to 24 hours for the article to reflect on the Analytics Vidhya blog.
What are the Prizes on Offer?
Base Price
Choose the Data Science content you want to create and win for each published article.
* Special Topics: Data Engineering, Web 3.0, Blockchain, Interview Questions
This time we are considering all the topics that come under Data Engineering as special category. Following are some suggested 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 Topics | |||
A Comprehensive Guide on using KNIME | A Comprehensive Guide on Building an ETL Pipeline for Beginners | A Detailed Case Study using Geospatial Analysis | A Comprehensive Guide on Machine Learning for Mobile Devices |
A Comprehensive Guide on Delta Lake | A Comprehensive Guide on ELT beginners | End-to-end Guide on Airflow | How to deal with Sparse Datasets |
Difference between Web 2.0 and Web 3.0 | A Comprehensive Guide on building warehouse from scratch | An End-to-end Guide on data pipeline using AWS | A Comprehensive Guide on using RedShift |
A Comprehensive Guide on Replication in Data Engg | A Comprehensive Guide on Causal Inference | A Comprehensive Guide on Sharding in Data Engg. | A Comprehensive Guide on Neo4j |
End-to-end Guide using Linux for Data Engg. | A Comprehensive Guide on Cloud Security | A Comprehensive Guide on Partitioning in Data Engg. | An End-to-end Guide on Anomaly Detection |
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.
* 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
Rewards Based on Views: Bonus Rewards
Submission Type | Views | Bonus Rewards |
Article and Guide | 5000 to 15000 | INR 1,000(≅USD 13) |
>15000 | INR 2,000(≅USD 26) |
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.
Submission Type | Rank | Winners Prize |
Articles | ![]() |
INR 10,000(≅USD 133) |
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INR 5,000(≅USD 66) | |
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INR 3,000(≅USD 40) | |
Guides* | ![]() |
INR 7500(≅USD 100) each |
* 3 Guides (Chosen by Editorial Team)
Introducing Author Referral Program!
Yes, you read that right! Refer and encourage your friends to publish articles in the current Blogathon and both of you stand a chance to win an extra amount.
Who can participate in the Referral Program?
This program is open to all our authors.
Reward
- Refer a friend and if the referee publishes 1 article then both referrer and referee will receive INR 300 each.
- Refer a friend and if the referee publishes 3 or more articles then both referrer and referee will receive INR 1300 each.
How?
- The referral code is shared with existing authors over the mail
- Share your referral code with your friends (ONLY NEW AUTHORS are eligible for the code who would be publishing their articles for the first time on Analytics Vidhyas' blog).
- Tell them to submit the code at the time of registration
Lucky Draw! - Stand a Chance to Win an 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
What is AVCC?
Publish 3 or more articles in any Data Science Blogathon and automatically become a part of the Anaytics Vidhya Creators' Club to avail exciting benefits and prizes!
Starting from 8th June all AVCC Members will have 30 days free access to our AWS course!
What are the Important Dates & Deadlines?
Note: We update the leaderboard twice a day. There is no set time for the update per se. But check back in the afternoon and late evening to see the latest views.
Participate in Discussion
Registration Details
Total registered
Know where you stand
Spaces You Can Join
Frequently Asked Questions
Find the answers for the most frequently asked questions
Participants benefit from one-on-one feedback, publication on a respected platform, recognition from a global audience, and monetary rewards for each published article. Additionally, the top articles receive special rewards.
Each article must be original, and pass plagiarism and not AI generated content checks. You can submit multiple articles as long as each is distinct. Proper citation of all references and image sources is mandatory.
There are no specific requirements to register for the hackathon, although it is recommended to have some basic knowledge of the relevant topics, such as Data Science, Machine Learning, or Deep Learning, along with proficiency in a coding language, preferably Python.
In the Blogathon, an article typically explores a specific topic or idea within Data Science or Generative AI and is required to be at least 1000 words long. A guide, on the other hand, is a more comprehensive resource, covering all aspects of a particular subject in data science, and must be at least 2500 words long. Guides aim to serve as a one-stop resource, providing detailed insights and practical applications, whereas articles might focus on narrower or more specific topics.
Depending on the type of competition, you can participate individually or in a team.
Multiple submissions of the same article are prohibited and could lead to disqualification. Articles failing to meet the required length, originality, or citation standards will be rejected.
AVCC is a community for authors who have had three or more articles published in the Blogathons. Members benefit from monetary rewards for each published article and get the opportunity to showcase their work to a larger audience.
You can access the problem statement under the "Problem Statement" tab once the Hackathon is live.
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