Why Data Scientist Jobs for Freshers are on Trend & How Can You Become One?

Blog Authors | Board Infinity

As per analyticsindiamag.com, the total number of analytics and data science job positions available in India in 2019 amounted to 97,000. The demand for data scientists will only keep increasing!

By 2020, the vacancies in data science jobs will touch almost 2 lakhs, says Economic Times. With the advent of Data Science, industries are able to make careful data-driven decisions.

The demand for data scientists is growing exponentially, especially in sectors like BFSI (Banking, Financial Services, and Insurance), Energy, Pharma, ECommerce to name a few, says DQIndia. Data Science has been hailed as the “Sexiest Job of the 21st Century”.

No wonder there are so many data scientist jobs for freshers.

In order to become a full-fledged data scientist, you must be proficient in mathematics, statistics, and computer science. Let us see how to learn data science and how to get a job as a data scientist.

1. Undergraduate Degree

You need to plan out your undergraduate degree in mathematics, statistics, or computer science to get a good start in data science. However, even if you have done a degree in some other specialization, it doesn’t matter because you can always take up online certifications and courses and get the required skills.

2. Acquire Skills

There are technical skills that are quite important to the nature of the job you will do, as a data scientist. A few of these are programming skills, machine learning algorithms, data visualization, statistics, mathematics, etc. They are not the only skills that matter, however.

You'll be faced with complicated situations, which require certain other skills such as being an effective communicator, leader, team member, etc. These are some skills that you need to develop for the future.

3. Decide a Specialization

Specializations are always better to develop a niche area of interest. Choose a specialization in database management, machine learning, research, or artificial intelligence and try to develop strong skills. Doing it will increase your potential for earning and also increase opportunities.

4. Take Up a Job

It is essential that you take up an entry-level job at least, it's the best way to learn data science. Just acquiring skills and specialization won't suffice. Only on the job will you be able to get good experience and exposure to data science.

Moreover, you will also get to build a portfolio to showcase to your future employers. Go for a company that has scope for growth, or go for a small company where you will get to don multiple roles. This will increase your skill base.

5. Get a Degree

The next step is to supplement your existing knowledge with a formal degree. Once you have performed on the job, you will know where your interest lies.

Since you have developed your skills as per the specialization of your choice, it is time you support it by doing a master's degree in data science. Those who don't want to give in to a long commitment can always opt for various certifications that are available.

As per the Bureau of Labor and Statistics, the employment growth of data scientists by 2028 will be 16%. The demand for data-scientist jobs is high, and experienced professionals are few in the market. Companies of each and every size are manifesting data into their processes. The demand for data scientists is skyrocketing.

Now is the time to learn and shine... Go for it!

Before you read the further blog, why don't you watch this short video on how to begin your career in Data Science.

If you feel stuck and are overwhelmed by the idea of how to become a data scientist from scratch then you should check out our Data Science Learning Path. At Board Infinity, we take you step-by-step from being a Beginner to a Pro Data Scientist.

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Blog Authors | Board Infinity

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