You’ve probably heard this question countless times before. Data science has been tagged by many publications as the next big career choice. But is it a dying career? Is it overhyped up just to grab everyone’s attention? Are data science jobs really there? And if so, do you have what it takes to become a data scientist?
I have been reading a lot about the rise and fall of data science. Recently, there have been more and more articles declaring data science as a dying career. My interest peaked, and I decided to dive into this topic so I could give an informed opinion on this matter.
Over the decade, data science has been considered a hot career, with many opportunities, high pay, and exciting projects. It is undoubtedly a rewarding career that has helped the professions of many individuals overnight. A Data Science certification course can help you acquire the skills and knowledge to excel in the field.
Now let’s see if data science is really dying?
So, here’s the truth!
Data science is certainly a flourishing field, and it’s easy to see why. The available data today can be used to solve problems in ways we never thought possible.
What Is Data Science, and Is It Really Needed?
For those new to the data science field, data science is a combination of domain expertise, programming skills, and a knowledge of mathematics and statistics to derive meaningful conclusions. Almost every business and organization globally uses data science to monitor, manage, and collect performance metrics to improve their operations and eventually boost revenues. Note that data scientists are needed by many businesses and organizations to analyze and present new predictions. Thus, data scientists will be a worthwhile career as long as they need this information for their business problems.
How Does a Data Scientist Help Companies?
As long as there is plenty of data and the data scientists know how to do their job well, they will assist any firm in various ways with which they collaborate.
Some of their core duties include:
- Data scientists provide management with the appropriate tools and techniques for making decisions.
- They look for ways to remain competitive in the business world.
- They reduce risks and increase business efficiency.
- Data scientists aid in the selection of new target audiences.
- They help companies find new opportunities, be it hidden information, new audience, new market, or even new product, by utilizing appropriate methods.
How Long Has Data Science Been Around?
Data science seems to be a relatively new topic; however, this is not the case. In fact, many believe that it just exploded out of nowhere and is growing exponentially. Whereas the truth is this field has been around for over a decade. Data science applications were only used for small-scale business problems in earlier days. But data scientists at that time were unable to handle such big problems due to a lack of advanced tools and techniques. As a result, this doesn’t mean data science is brand new and hasn’t been around lately.
Does Data Science Have a Foreseeable Future?
Data science has gone from a niche field to a mainstream career choice in less than 10 years. That rise has been fueled by the availability of open-source tools, the democratization of data through APIs, and the proliferation of cloud computing resources. We’ve been hearing a lot of buzz about data science in recent months. Data science careers are growing, and they’re even popping up in traditional fields like finance, marketing, etc. Many organizations will rely on data scientists and ML practitioners for their growth and success in the upcoming future. Data science is said to be a vast professional path that is evolving and promises a plethora of options in the future. Data science job roles are also projected to become more detailed, leading to specializations in the field, and thus the need for this skill has turned into one of the most pursued careers in recent times. This makes it even tougher when deciding to pursue the data science course because of its ever-growing popularity, but data science is certainly not a dying career.
Will Automation Kill Data Science Jobs?
Many individuals are concerned that automation will take over data scientists. But let me tell you something; Automation is simply a way to do things faster. And as automation increases, so will productivity. Automation will be a supplementary tool to boost data science tasks enabling more efficient operations. While bots can perform lower tasks, humans (data scientists) will take care of problem-solving tasks. As a result, human problem-solving and automation will empower data scientists rather than risk their careers. Shortly, we might expect even more technological advancements. However, data scientists possess a valuable and unique skill set that is tough for AI to imitate.
Conclusion
It is concluded that data science is both present and future of every organization’s development. Data science is an exciting field in which the most innovative thinkers and doers use their expertise and creativity to solve the world’s largest problems. The good news is that the availability of data and this technology will likely be around for a long time, and the opportunities for data scientists in this career will continue to expand. This is not a fad; it is a career path anticipated to grow in popularity in the coming years.
If you’ve ever thought about pursuing a career in data science or honing your skills, there’s no better time than today. Take a data science course in Delhi to earn a certificate and learn job-ready data science skills.
