Data is not new and the size of data is evolving every day. Size brings new challenges and introduces the new topic called Data Science. Data Science helps to discover new insights, patterns, trends in the data. Data Science is one of the fields which is in demand and growing massively.

Evolution:

Historically, data was evaluated manually which used to take a lot of time and concluded with errors, but nowadays it is automated, and the number of errors has also reduced. With the growth of technology, the number of people dealing with data has also reduced over time.

Real-Time scenario:

Data Science is seen as a bright field as it has applications all over, ranging from Automobile Industry, IT sector, Healthcare, Army and Weapons, Power and Energy, Banking, and Finance. Some of the real-time applications are, it helps in detecting whether the mail is spam or ham, money transaction is fraud or not, detecting the simplest and busiest air routes, recommendations in amazon and Netflix. It is chosen in many companies, as it helps in summarizing the efficiency of working of the company.

Prerequisites:

It is the field where coding is not only the focused area, it also deals in understanding the deeper meaning of data and conclusions. In the Data Science field, there are no particular prerequisites. Anyone who is passionate about dealing with data is most welcomed. Transition:
When we look into the statistics of the careers chosen by people in the past few years, data science is massively adopted by people even from non-technical backgrounds and are doing wonders.

It’s future:

The advantage of Data science is, it helps in decision making with less time. We are in an era where time plays a vital role, we always look for a decision that is accurate. Hence, Data Science is making our life easy and supportive with accurate and efficient results. So data science isn’t the end, it’s a beginning of a new era.