Have you ever wondered about the most in-demand tech job in our day and age? It’s safe to say that Data Science is a massive contender. It has advanced the way we live exponentially. If you asked a prolific business owner twenty years ago what their worst problem they faced was, there is a 90% chance that they would say data storage. This is because even though industries were technologically advancing, there weren’t many solutions to solve this problem.

Data science has solved this data storage problem and has even gone further to solve further technological issues. It has even helped Artificial Intelligence massively progress over the last few years. That’s why in this article, we would talk more about who a data scientist is, as well as how to become a successful one.

Who Is A Data Scientist?

 A data scientist is someone who gathers, organizes, stores, and analyzes information. They do this to assist individuals and companies from all industries achieve their goals. They understand that the amount of information available on the internet is abundant.

Most people would find that information tedious to analyze and try to understand. They also know that a lot of companies have information that they want to store and analyze. This is what a Data Scientist does.

What To Do To Become A Data Scientist

Data science is an excellent career choice, but it is not without its challenges. Luckily, they offer this course both on the internet and in person.

A Data Scientist is responsible for gathering, analyzing, and storing information, so it is only natural to possess certain qualities. Some of these are:

• Experience coding in a general programming language: Programming is not for the weak-minded, but frankly, neither is Data Science. It would help if you had at least six months of experience coding to increase your chances of success in this field. Programming languages include Python, C++, Javascript, and so on.
• Paying attention to detail: As we mentioned earlier, there are many information sources on the internet. Unfortunately, most of this information is either generic-looking or fake. A good data scientist should be able to sieve out quality information that has been researched well from the fake and generic ones.
• Proficient in Mathematics and Computer Science: A Data Scientist needs to be trained in both of these subjects to attain higher success levels. Math involves a lot of statistics and equations, which a Data Scientist needs. Computer science consists of a lot of computer knowledge and programming, which is equally crucial.

Our Verdict On Data Science

 If you are thinking of starting a tech career, becoming a Data Scientist is a pretty good way to go. Although trying to learn has become harder in this pandemic, online courses can take you on this topic, and excellent mentors are ready to help you out on your Data Science journey.

You can find data scientists everywhere: in startups as well as massive companies. If you are starting in Data Science, then you would get at least $95,000 per year. Intermediate-level and Expert-level roles averagely earn $130,000 and $195,000 respectively.