Why Should You Study Data Science?

21-Mar-2022

The amount of data produced on a daily basis in the world is unparalleled, and it is likely to continue to rise as more people gain access to the internet. Consider the quantity of data saved on Google, Youtube, Netflix, Twitter, Facebook, Instagram, LinkedIn, Amazon, and several other sites. Not forgetting the public information like healthcare information, customer information, and academic records stored in the databases of innumerable universities across the globe. It is data science that aids in making sense of all these complex webs of colossal data sets. This alone explains the advantages to why learn data science.

So Why Learn Data Science?

The goal of learning about data science does not necessarily need to be because one wants to be a data scientist. Learning the principles of data science can be a goal for anyone who enjoys working with data.

For those considering taking up a data science career, let us talk about the nitty-gritty benefits of learning data science

Acquire cutting-edge techniques and skills

People who major in data science have the opportunity to study specialized skills that will allow them to create expertise that will allow them to enter the job market immediately after graduation. These abilities also provide you with an advantage over students pursuing degrees in general computer science and other IT-related fields. You'll be encouraged to learn about cutting-edge technologies like artificial intelligence, data modeling, and machine learning.

High demand for Data Science Professionals around the world

Data science is the major driver behind all enterprises around the world, and it will be for the majority of the twenty-first century. While the demand for data scientists continues to grow, there are few professionals in the sector, making it a top priority for large companies to hire as many as possible.

According to the US Bureau of Labor Statistics, the data science profession is expected to grow at a rapid pace, with numerous jobs expected to grow by 28 percent by 2026. To make sense of the 28 percent rise, there will soon be over 11.8 million data scientists available in the United States alone.

Opportunity to Work in Multiple Sectors

One of the most appealing aspects of working in this field is that data scientists can work in a variety of industries and sectors. Healthcare and pharmaceuticals, financial services, manufacturing, logistics, telecommunications, and the automobile industry are among the top sectors requiring data scientists. As a data scientist, you can make a difference in your job by analyzing the performance of essential business areas like sales and marketing, operations, and customer service and making evidence-based improvements.

Future-Oriented Vocation

In the twenty-first century, data is the driving force behind industries. Anyone who wants to expand their data science skills is putting themselves in a good position for a successful future profession. Forward-thinking companies who recognize that data is the fuel of the future are now hiring data scientists. It's the job of the future, and it promises to provide a secure future for everyone who learns about technologies like machine learning and artificial intelligence, which will enable them to become truly useful assets to their business.

A rewarding vocation with excellent earning potential

Having a rewarding career, for the most part, also entails a large salary. Data scientists are among the highest-paid specialists in a variety of fields. This encourages them to pursue their passions in order to assist organizations in resolving data difficulties. Take the example of the United States, a data scientist can earn between $104,000 and $155,000 per year, which is a very lucrative career making it a desirable profession for the new generation.

Even an entry-level data scientist job pays well, albeit it depends on the classification and level of employment. There is no limitation to how one can apply data science knowledge and acquired skills if one has to answer why learn data science. An individual with a strong and in-depth knowledge can even earn extra income or side money by working independently as a freelancer or tutoring or maintaining one's own blogging profile. There's no restriction to how one can expand their earning portfolio.

Contribute to society

Data science has transformed the way the world functions decades back. From mechanizing work to amplifying productivity and efficiency in the operations of any business data science has impacted massively. There's no denying that data science has the potential to improve the world. Experts reviewing data in imaginative and intelligent ways to achieve beneficial results are credited with numerous "good news tales."

During the COVID-19 pandemic, a group of data scientists and medical professionals partnered at Oxford University to develop a more effective contact tracing process. The researchers utilized mathematical models to demonstrate that standard procedures were not fast enough to stop the virus from spreading completely. The acquired data is further utilized to develop a system that is mobile-based which will send text messages to whoever has had direct contact with positive confirmed cases. This helps in identifying people to isolate themselves at the earliest. This is one instance denoting the importance of the contribution data science makes to society.

Individuals with the enthusiasm and the zeal to work to unleash the power of data must sure have no second thoughts as to why learn data science. The prospects and the opportunities that lay ahead are challenging yet very rewarding. The only plausible point to ponder undoubtedly is the data science future and its feasibility ten to twenty years down the line.

Data science future: An ever-evolving field

Ten or twenty years from now, the field of data science will evolve and may not bear the same name as it is today. Looking back one or two decades ago, data science did exist with different names only that it had grown and diversified into varying domains. Data science future looks even more promising with almost all the industries including economics, commerce other than technology.

There are several estimates that state unequivocally that the demand for data scientists will skyrocket in the next five years. The demand, on the other hand, is clearly greater than the supply. Data science necessitates a high level of sophistication and specific knowledge, as well as a strong commitment to computers, math, and analytical abilities on the part of those who work in the field. The demand-supply imbalance persists because there aren't enough people with these characteristics.

The world has arrived at a point when every company imaginable is becoming data-driven. Tech giants top Amazon, Google, Meta, Microsoft, and Apple are all data-driven companies. They aren't the only ones, though. Starting from the commercial field to health care to agriculture, production to delivery, Data-driven decision-making is an integral aspect of practically every competitor's strategy. Data sets are being personalized at a breakneck speed. Hence, it is evident that the world requires data scientists, which bodes well for their employment prospects.