In this article, rather doing coding I would like to share some of the benefits of writing a blog/article/tutorial as a Data Science Enthusiast.

Trust me, if you want to go a long way in this field than it is unavoidable. Consider it as an advanced form or more detailed version of the **readme file **that you make for your GitHub projects that will allow your project (open source) to reach more audiences and get a better understanding of your project.

Yes!! I know writing concise and clear technical blogs takes practice but trust me the knowledge you share will help a lot of folks.

NOTE:- Most of the people will say to start your own blogging website, in some cases, this will be beneficial(earning money through ads) but if you really want to share your knowledge then go for renowned platforms like **Medium. **Tell me whowants to see those ads while learning something. That’s the reason for the success of Medium(no ads).

So, here are some of the benefits of writing blogs that will boost your data science portfolio.

Enforce Learning

Writing about what you have learned recently or explaining the working of the project and underlying maths of the algorithms will help you to remember it in the longer run. Also writing the learning in your words will help you to recall it quickly by just skimming through the article.

Knowledge Sharing

Sharing code with others is not enough. They must understand why you have used a certain algorithm and other technical stuff in order to understand the underlying working of your project. So, that they can implement that without any hurdle or even contribute and improve your existing project. This gap can be filled by writing an article.

Also, sharing your solution to a particular problem can be in the form of an answer to StackOverflow or Quora’s question.

#careers #opinion #blogging #data-science #machine-learning