How to get shift into Data Science profession from Different Backgrounds?

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Published on March 16th, 2021

Have you been watching a lot of people starting their career in data science? Are you a person from a totally different background? If you could start all over again do you wish you had a different career?

If the answer to all the above questions is yes then you have reached the right blog. Because we are going to tell you that you can turn to a different career path at any point of time in your life.

Yes, thats right. Lets talk about how to start learning data science even if you are from different technical or non-technical fields and smoothly shift to the data science profession. Even though the approach is quite the same for all domains there are little tips and tricks that can help you.

Table of Contents

1.Research:

You need to research data science first and the job roles available in the field. Take a look at the job descriptions and see what fits you best. Note down the key skills needed to fit that job description and you are ready to start.

2.Company:

Find out organizations that you want to join in the long run as you may not be able to get into tech giants at the start. Just note them down so you can have a clear understanding of where you are headed to.

3.Connect:

The most important is to connect with people who are either already in the field or aspire to be in data science just like you. Contact them through social media or other portals, join groups related to data science they can help you keep updated about recent trends, job openings, and new skills.

This was how you can transition from different backgrounds no matter the field. Now lets have a look at how you can transition/start inData Science smoothly.

1.Software Engineers

This is amongst the most comfortable transition as they are already well versed with the programming languages and all they need to work on are a few important skills for data scientists. But one should not expect to be treated as an experienced professional as they will be new to the field, a salary cut can also be expected.

2.Finance

It is assumed that finance people are good at statistics and mathematics so they already possess key data science skills. They need to get comfortable with programming, Python is a great option

3.Marketing

The most difficult transition of a career that can happen is from marketing or sales to data science as you have started from base zero and move towards advancing your skills and in between learning programming language, data interpretation, presentation, and data analytics for beginners. Though they have one skill at the best that is communication.

4.Graduates

If you have a strong hand over statistics and mathematics that can be beneficial for you but just graduating might not be enough for you to become a data scientist. You need to take up a course that will help you attain data science skillsets. We have a recommendation for you:

First, try the free demo available to get an idea, and then you can take up the paid version. Here were a few field transitions and methods briefly explained to help you get started with data science and attain all the qualifications of a data scientist.