As per analyticsindiamag.com, the total number of analytics and data science job positions available in India in 2019 amounted to 97,000. 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 analysts/data scientists/data engineers 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 freshly passed graduates in data science are in demand. In order to become a full-fledged data scientist, you must be proficient in mathematics, statistics and computer science. Let us see how to become a data scientist.

Undergraduate degree

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

Acquire skills

There are technical skills which are quite important to the nature of the job you will do, as a data scientist. Few of these are programming skills, machine learning algorithms, data visualisation, statistics, Mathematics, etc. They are not the only skills that matter, however. You'll be faced with complicated situations, which requires certain other skills such as being an effective communicator, leader and team member, etc.

Decide a specialisation

Specialisations are always better to develop a niche area of interest. Choose a specialisation among 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.

Take up a job

It is essential that you take up an entry-level job at least. Just acquiring skills and specialisation 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 which has scope for growth, or go for a small company where you will get to don multiple roles. This will increase your skill base.

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 specialisation 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 Labour and Statistics, employment growth of data scientists by 2028 will be 16%. Demand for data-scientist jobs are high, and experienced professionals are few in the market. Companies of each and every size are manifesting data into their processes. The demand is skyrocketing. Now is the time to learn and shine! Go for it!