What is Scope of Data Science in India

Data science has a very good scope in India. A report says that the statistics even increased in 2020. They estimated the open positions in data science at 2.9 million. Demand is growing as always and in the near future, it is said that companies need more data scientists. The need will increase and can never decrease.

Did you know that Flipkart has 700 vacancies for data science and other technical areas? In addition, Amazon, Netflix, and many of these large companies have massive demand and job opportunities for data scientists.

Data science is seeing an increase in jobs worldwide. India is one of those countries where there is a data explosion. The scope of data science in India and the need for IT professionals to improve their knowledge of data science are increasing.

India is the canter of the software and information technology industry. There is a new era of data and it professional is upgrading their knowledge on data. We can say that the IT industry is going to change with data science.

Data Science Career of the Future

Data science has been declared as the sexiest job of the 21^st century. There is a massive data revolution that has transformed around the world. Now data has become the fuel of the IT industry. Earlier most of the companies would rely on the experience to make major decisions. But after coming data science it becomes easy for the industry to make data-driven decisions. Now the industry can able to take decisions by using data science.

The industry can easily analyze the market by using data science. They can take the decision and analyze the risk involved decision. Data science has brought rapid growth in the industry to minimize industry loss.

Due to this, the demand for data scientists has increased in the IT industry. Therefore, data science has become a career in the future.

Read More:  How to Shape Your Career with Data Science Course in Bangalore?

The career of Data Science in India

In India, most of the start-up companies have shifted their traditional software development work to data science. They know that data science can make their development work so easy. With this, they can easily analyze their data workflow and can manage their work according to that. In India, there is a huge scope of data science. People are moving to this technology and making their careers in data science.

A data scientist has a deep learning curve. This technology includes various disciplines like mathematics, statistics, and computer science. You should have analytical thinking to become a data scientist. A full-fledged data scientists are those who proficient in these fields.  Due to the very high learning curve there are very few data scientists available in India. The industry needs those candidates who are proficient in these skills and can fulfill their requirements.

India is the second country after the United States of America where there are many universities available that provide degree in data science. As a result, there are very few candidates who process this degree. So there is a lack of data science roles.

 As I already told that various start-ups have emerged with the data science technology. Due to lack of this role, these companies are finding difficulties to get the right candidate for their business. Data science jobs have increased to 45% compared to last year. This figure will give you an idea that how much data science role increased in India.

Salary Demands by Data Scientist

A data scientist gets a huge salary in India. As everyone knows that there is a huge gap occurs between the demand and supply for the data scientist candidates. So because of the lack of data science candidates in India so there are more chances to get a high salary for these roles.

According to earnings data scientists in India are earning more salary rather than other IT positions. The average salary of a data scientist in India is 6,50,000 while other It roles average salary is 4,50,000 which is very high than other positions. That is why data science has a very good scope in respect of salary and added privileges. If you want to check the proper salary of a data scientist then you can go through what is the range of data scientist salaries in India.

 

Redefining Traditional Roles

With the advancement of automation and artificial intelligence, the roles are reducing. The roles like IT administrator, testing, database managers have found several years but due to artificial intelligence, these roles are decreasing day by day. Moreover, Indians IT workers are getting affected due to their skills gaps stated by the IBM chief Ginni Rometty.

These job losses in the computer industry are known as "digital bloodbath" and have hit the Indian IT workforce immensely. This is a challenging issue that requires special attention from employees to improve their skills and keep pace with the needs and requirements of the IT industry.

To do this, employees need to be familiar with the technology of the future - data. There is a huge field of activity for data in India - not only for data science but also for data analysis, big data engineers, big data managers, and data architects. If only the demand for data scientists is very great, imagine the demand for all of these roles together! The need for data scientists and other data-related professions is greater than ever. Therefore, data science in India can be seen as a new direction for people to build their careers for long-term benefits. It is clear that data science is very extensive in India.

Conclusion

In this article, we have described how India is seeing a massive increase in its data science jobs. We also understood various factors that are driving the need for data scientists. We also discussed why the position of data science brings high salary bonuses. We also discussed the "digital bloodbath" that has changed our IT industry and how a career in data science can promise a stable future.

 Near Learn is one of the best data science training institutes in Bangalore that provides the best education in Bangalore.

What is Data Science and why we need Data Science?

Before getting into the best training institute in Bangalore first I would like to tell you about data science that what is data science and why it is important.

What is Data Science?

 As the world has entered into the big data every company knows the importance of data. As this is the world of big data so its storage importance is also growing but after the Hadoop and other software came into the market, the storage problem was solved. Now the main concern is on the processing of data. As we have the solution of storage of data but how can we process the huge amount of data. So to solve this problem, data science came into the market.  

Data science term has grown because of big data, data interpretation and the development of scientific statistics. Data science is part of artificial intelligence.

Why we need Data Science?

Before the data was very structured, small in size and can be analyzed by using BI tools or other simple tools which are available in the market but nowadays the data is coming unstructured, big in size and coming from very different sources. Below the graph is showing that by 2020 more than 80% of data will be unstructured.

This unstructured data is generating from different sources like multimedia forms and sensors and instruments. Such kind of unstructured data cannot be analyzed by the BI tools and other tools these tools are not capable of analyzing such kind of data. For this, data science came into the market. For processing such kind of huge data and to analyze the data we need some powerful tools which can analyze, process and draw meaningful insights.

We cannot do only these things we can do another thing as well by using data science. That’s why data science has become much popular. Let’s take a look at what other things can be done by data science.

1.       How about if you could understand the customer’s need based on their existing data like past purchase history, browsing history age and income. No doubt it will give you a great business profit if these things can be done. This will be possible with data science and cannot be done by other analytics tools.

2.       How about if data science can be used in predictive analytics. Data science can give the prediction in weather forecasting. It can take and analyze the data from ships, aircraft, radar, and different satellites and give you the prediction of whether or also can tell you about some natural calamities. So you can aware before any natural calamities happen

3.       Let’s take another example of data science to suppose if your car had the intelligence to drive you home. These self-driving cars take the data from different sensors, cameras, radars, and lasers. Then this data is analyzed and based on this data your car takes the decision like when speed high when to speed up, when to take a turn and when to stop. This can be done by the latest machine algorithms.

Conclusion:

 I hope you have understood the role of data science and the need for data science in this modern world. Near Learn is the top Machine learning institute and it provides the best data science training in Bangalore. It also provides training on machine learning, blockchain, big data, and deep learning, etc.