Helping Millions Of Data Science Beginners To Become Experts

“If you can’t explain it simply, you don’t understand it well enough

Albert Einstein

 
 

About Us

Dataaspirant is an ideal place for beginners who are passionate to learn data science. We give the initial push you need to learn data science concepts to become an expert in the field and get the job you dream and deserve to get.

 

Our Global Reach

Dataaspirant is the global learning platform for millions of data science beginners.

4.5M

Overall Readers

100K

Monthly Readers

30K

Subscribers

150+

Articles

 
 
 

Our Mission

Our mission is to teach data science concepts for beginners in a much more simplistic way. Because we believe this field is for everyone who is passionate and loves solving challenging problems. For the next 2 years, our goal is to create quality content through which we intend to teach 1 million learners each month.

 

Want to join Dataaspirant Content team ? 

We believe the world is a better place when we share the knowledge we gain to others. If you love to share any data science topic, check out our join us page.

 
 

Our Story

It all started in the year 2014, with Saimadhu Polamuri random thought to write the data scince concepts he learned through a blog, and named his blog as dataaspirant with an aim to teach the complex concepts in a much simpler way with vibrand and rich visuals.

He is holding a post-grad in Artificial Intelligence & Machine Learning degree from The University Of Texas.


He inspired a lot with Albert Einstein's words,

 "If you cannot explain it simply, you do not understand it well enough"

Keeping this as a standard rule, he started writing the articles to explain complex data science concepts in a mush simpler way.

Over the years, dataaspirant got a decent amount of popularity over the internet, which propagated. In the year 2016, it was recognized as best blog for data science. The published dataaspirant articles are used as reference articles in various universities across the globe. Even few of the articles are used as a reference in the world famous university Stanford.

 
 

Let's Chat 

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