The past decade has seen huge advancements in technology. Data science is one of the newest technologies. However, with the latest advancements and with the implementation of artificial intelligence and machine learning, the whole idea of data science has changed. There is a vast amount of data that is available online. This data gets generated by every user around the world that uses the internet. All this data gets analyzed and extracted by data scientists.

Almost every organization is looking to extract and analyze the data. This is where the role of data scientists comes into the picture. With the help of this data, it is easy to understand the user’s preferences and the company can work accordingly to attain their potential client. From top organizations to small micro start-ups, almost everyone depends on this data to enhance their business in every way possible. Apart from that, it is also possible to increase productivity and reduce downtime to a considerable extent.

Organizations have understood how significant it is to manage this data. This has led to an increase in demand for data scientists. As a data scientist, you have multiple roles and responsibilities in an organization. It is not just about collecting data, you also have to analyze and test the information that is being extracted. Top brands like Facebook, Amazon, Netflix have already started implementing this in their services. With the help of data science, they have enhanced the user experience and collect information based on user preferences.

If you noticed, you would have searched for a specific product on Amazon. Once you come out of Amazon and go through your feed, you might find ads similar to the product you were searching for. This kind of recurring marketing tactic is a product of data analysis. Similarly, there are several such data science applications. Data science has helped to capture the data of the number of patients affected because of the COVID-19 pandemic. Data scientists have been constantly working to generate accurate healthcare analytics.

With the present technology, there is much demand for data scientists. The future might see more advancements and the role of data scientists will become more important. So, enhancing your skills with data science courses in some of the prestigious universities  like Texas McCombs, Great Learning can help you find the right job 

Without further ado, here is what the future seems for data scientists.

Data Science: What is there for the future?

With the COVID-19 effects, the year 2020 might have taken the biggest hit, but in the coming years, it won’t be the same. Even with the global pandemic in place, there are over 150000+ vacancies in India for the post of data science professionals currently. The implementation of cloud computing has enabled data scientists to work from home without having to stop work of any kind. Cloud computing has created a virtual agile platform for professionals. The world has slowly adapted to this pandemic. Probably by the end of this year, almost every industry will start working in a full-fledged manner.

In the next three years, the demand for data scientists will be at an all-time high. India might have around 5,39,465 job openings in total across major cities. When it comes to the salary package, an average data science fresher gets paid around INR 6,50,000 per annum. With the increase in demand in the future, there is quite a possibility that it might go up to 9,65,000 per annum, which is high. With the advancements in technology, there will be new job roles and responsibilities as data scientists. 

Data Science payscale details

With the new companies and MNCs setting up, there will be more job opportunities. Almost the entire world is moving towards digitalization, which will cause a boatload of data. Quality data scientists, engineers, and analysts will be required to extract the data and convert it into valuable information. Data science career has created a lot of buzz among the Indian Youth. So pursuing a Data science online course can help you to stand out as a data scientist. 

Every organization would look to give a complete product, reducing downtime and increasing productivity. There is a steady requirement for data science professionals in the workforce. You can always equip yourself with the necessary skills. The increase in demand for data scientists will eventually produce individuals with great skills and caliber in the future. They will have a superior thought process and could also solve the most critical and tedious problems. There will be more data science certification programs offered by premier educational institutions like Great Learning, Texas McCombs, PES University, and Northwestern University, etc to help individuals equip themselves with the necessary skills.

There will be colossal growth in businesses and start-ups that will enhance the Indian economy. They will also help achieve a more sustainable position in the global market in the next five years. Data scientists have huge potential, and only time will tell how long they rule the technological market. However, one thing is for sure that it won’t end anytime soon.

Will India lead China in data science Technology by 2030?

Over the past decade, China has grown as a technological stalwart globally. It is planning to become a global leader in the field of Artificial Intelligence by 2030. The Chinese IT firms have the backing of the government in every way, and this has transformed the Chinese economy in the global market. They are putting in everything to surpass the US in creating a fortune out of the ongoing dynamic AI wave. The two technologies that helped China become renowned in the global market is facial recognition software and AI chips.

On the IoT upfront, China has been competing with the US in coming up with viable products. Almost in every vertical, China has surpassed its competitors, and the country’s policies have proved to be quite favorable for the firms and organizations. India, on the other hand, has become a startup hub of the world. Several companies have brought innovative ideas and approaches to fame across the world. Most AI-based startups have shown great potential and have proven that they can match the prowess of any established company.

India has established IT parks, smart cities, and AI-based parks to create job opportunities for individuals and also has provided opportunities to startups to wide-scale their thought processes. AI-based startups are constantly working on projects to enhance India’s position among other developing countries. India will take time to meet global standards. But it is not far away from giving a tough competition on the global upfront. India has been showing continuous progress from the AI perspective. By 2030, we can expect India to compete with China on a global scale.

Final  Thoughts

India is a developing country. The country has shown that it does not differ from other well-developed nations like the US, China, and other global powers. India has the potential to come with technology that can outrun its competitors. By 2030, we can expect India to emerge as a nation that stands tall in the global IT market. India has produced many AI-based startups, and it is constantly giving support to innovative ideas, which have led to the establishment of companies like Avalon, Nykaa, which have raised venture capital.

Data science is another aspect where India has proven its prowess. From top organizations to small micro start-ups, almost everyone depends on this data to enhance their business in every way possible. Already it ranks second in the world after the US for being the largest recruiter of data science professionals. With time, this too shall rise, and there is a huge possibility that the Indian economy shall once again reach its peak with such advancements.

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