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 of data scientist 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 of data scientist 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 science openings 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.
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.
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.
These are some skills that you need to develop for the future
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, it's the best way to learn data science. 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 of 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 of data scientist is skyrocketing.
Now is the time to learn and shine... Go for it!
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, take you step by step from being a Beginner to a Pro Data Scientist.
- You’re given access to 150+ hours of premium content (from online live classes to offline bootcamps)
- You get personalized 1:1 mentoring from industry experts in the field of Data Science
- You get exposed to internships in the industry while also working on live projects to help build your resume
- You’re given complete placement assistance
- And a lot more...
Click below to check out our Data Science Learning Path.