Data Science Blogathon - 22

1. malamahadevan: Step-by-Step Exploratory Data Analysis (EDA) using Python
2. subramanian8: Exploring Partitions and Consumer Groups in Apache Kafka
3. gitesh20: Apache Kafka Architecture and Use Cases Explained

Data Science Blogathon 22^nd 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 22^nd 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 8^th, 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

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.

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

* Please note, according to the government regulations, we shall be deducting 30% tax on all payments.

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)
		INR 5,000(≅USD 66)
		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!*

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.