What is a data scientist and how do I become one?


The emergence of big data, a term that is generally used to describe large sets of data so voluminous, disparate and volatile that traditional data processing applications aren’t able to manage them – has created a demand for skilled data science professionals who can mine and interpret the voluminous data sets to help enterprises take more informed decisions. 

If reports are to be believed, the next few years seem promising for data scientists, as Britain is anticipated to roll out an average of 56,000 big data jobs every year until 2020 in response to the shortage of data scientists. With a big data talent shortage in the market, large business organizations are ready to pay handsomely to hire the right talent with the right skillsets. Today, many data scientists command six figure salaries.

According to the reports of McKinsey & Company, there will be around 140,000–190,000 data science job openings in the United States that will remain unfulfilled by 2018.  Much worse (for the employers), there will be 1.5 million full stack data scientist managers required to optimize data, which is growing at an exponential rate. From this, we can say that the next few years will be prosperous ones for data scientists.

What is a data scientist?
A data scientist is a person who takes large and unstructured data sets and carries out analysis to make them meaningful and valuable for a business organization. To do this, they need to have a blend of different skills – a strong background in statistics and mathematics, a good understanding of algorithms and human behavior, as well as being well-versed with the industry in which they are working to put their findings into context. From here, they will be able to discover insights from the datasets and start identifying patterns and trends.

How to become a data scientist?

To become a successful data scientist you should have a combination of the following:

Technical Skills: Computer Science and Analytics
·         Python Coding
·         SQL Database/Coding
·         Hadoop Platform
·         SAS and/or R
·    Education: Data scientists have a strong educational background. They are from the fields of Mathematics and Statistics (32%), Computer Science (19%) and Engineering (16%).

Non-Technical Skills
·         Intellectual curiosity
·         Good communication skills
·         Business acumen
 After reading this, if you are planning to become a data scientist, we suggest you take a full stack data science program from any good institute in India.

Location: Bengaluru, Karnataka, India

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