How to start your career in Data Science?

I can, I can, I can be a data scientist

“Hey bro, I am working in the field of Human Resource. Can I pursue my career in the field of Data Science or it is not for me?”

“Hello sir, I have 5 years of experience in software development, but I want to break into the path of data science. Is it still possible?”

“I have graduated recently sir and want to start my career in the field of data science. How to do it?”

And many more like this…

The questions might come from a diverse background, knocking on the door of data science, but the answer is straightforward. A BIG YES….

But HOW??

This article is all about answering this question.

But before answering this question, I will tell you the common mistakes which most of the data science freshers commit and regret later.

  1. Deep diving into theory — It will not only slow you down, but you might lose interest in data science. In addition, you don’t remember deep theory for long unless you are not revising it regularly. So, you should create a balance between theory and practical.

So, let’s focus on how to start your career in data science.

  1. Understand data science— Talk to multiple people working in the field of data science and before diving into the data science pool, try to understand what it is. Also, there are tons of materials available on the internet. But it will dilute your thoughts and might confuse you more. A good mentor in data science is a boon.


If you go for any jobs portal, it is colored with multi-level jobs in data science. So, there is a crazy level of opportunity currently in this field. The distance to start a career in data science is only that far, you start taking the first step towards it. With a ray of hope and belief, with a sense of working hard, with the sense of learning more, with a determination to move in the right direction with a unidirectional focus mindset, one can become a good data science practitioner. The article has been initiated with the point to not let you take some common mistakes. The remaining part of this article created guidelines for anyone who wants to start their career in data science.

If you have some more opinions, or you have rowed the same boat of data science with some more or different opinions as been told in this blog, please do let me know in the comments.

Senior Data Scientist in TCS, more than 10 years experience in Data Science, Top 20 Data Science Academician in 2018.

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