One of the most popular academic disciplines in the current generation is data science. Huge excitement and enthusiasm have been created for data science, and this trend is expected to last for decades to come.
In this article, we will analyze the 10 wrong reasons for aiming to be a data scientist. This is an opinion piece that doesn’t usually try to discourage readers. Instead, I want to expose several misconceptions and incorrect beliefs that must be corrected if you want to be a successful data scientist.
You think it’s Easier to Get a Job
The sexiest job of the twenty-first century is thought to be data science. There are a lot of open positions there. Everyone wants a job with a good reputation. You are erroneous if you believe that data science is one of the simpler careers to get because there is such a high need for qualified data scientists but you have no passion in the field.
No Interest in Coding or Programming
To truly comprehend the discipline of data science, one must have a working knowledge of coding and programming. If you are interested in learning and pursuing these strategies but lack the necessary coding or programming skills, this should not be a huge problem.
Your Primary Reason is Money
One of the highest paid positions in the software industry is undoubtedly that of a data scientist. You have many options to construct different projects and generate money by freelancing or working with startups, and even if you don’t secure or are not interested in a full-time data science employment, you may still earn a good 6-digit US dollar amount.
It won’t take you long to become psychologically worn out if you have no interest in the topic of data science, though.
You Hate Math
One of those subjects that you either grow to love or end up loving to hate is mathematics, in my opinion. While some people find math to be a fascinating topic, others find all these numbers to be somewhat uninteresting. Regardless of your position on the issue, arithmetic is one of the most essential needs for machine learning and data science, which is good or sad.
An Overall Lack of Passion
The majority of the successful data scientists all share a similar passion for data science and the amazing fresh discoveries that are still to be discovered.
The need for passion and affection for the field of data science cannot be overstated. It goes without saying that you should probably think about a different career if you are not enthusiastic about and lack the general drive for data science.
You Find Working with Data Annoying
As the name says, data science involves a lot of DATA.
It is perfectly acceptable if you dislike dealing with data, which is occasionally thought of as one of the many fascinating elements of data science. However, that should be something to consider if you are completely irritated and turned off by working with data, which is a fundamental component of data science.
Consistent Learning is Boring
Being a data scientist is probably not the best career choice for someone who doesn’t enjoy learning a lot of new stuff. There are several industries where you can continuously apply the abilities you learned in school or from a previous career to develop things and make a living.
Unfortunately for such individuals, data science is a field that is continually evolving, with more discoveries appearing every day.
Lack of Communication Skills
It is possible to improve one’s communication abilities with practice and assurance. As a result, it is not the end of the world if you cannot effectively interact with your peers. You can succeed if you focus on this subject and make progress. This only holds true, though, if you are genuinely engaged in personal growth.
It is impossible to advance if you are unwilling to improve your communication abilities, particularly in the field of data science.
Hate Collaboratively Working in a Team
You will struggle as a data scientist if you don’t enjoy discussing new emerging technologies or sharing your ideas with others.
Because there must be a continuous flow of information about the ongoing project, teamwork is important. As a result, to come up with the best solutions, increase the model’s accuracy, and deliver top-notch results throughout the deployment, data scientists must collaborate.
You are Not Interested in Exploring or Working on Newer Projects
There are a ton of better possibilities available to you if you do not want to work on a tonne of brand-new projects or investigate a wide range of novel ideas in the amazing subject of data science. And picking one of these would definitely be better for you!
Data Scientist is a very reputed job and no wonder it pays very well! But to be committed to the sector of DATA, and becoming a Data Scientist is a very tough job. So, If your reason to become a Data Scientist overlaps with any of the above reasons, you should think twice!