Registered
Prizes
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:
Are you excited to be a part of our Data Science Community?
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:
You can also refer to the video below for a virtual walk-through of the Registration process and Editor Platform.
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
Choose the Data Science content you want to create and win for each published article.
*Note: Will be considering following topics only as special category 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.
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.
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
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!
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
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.