In this new era of science, nothing works without data. The world can be called the world of data. Everything we see, search, read, and buy has a big data analysis behind it. But the question is: What is data? And why is it so important?
Data means information. It can be a text, number, word, picture, or sound. By analysing this information, we can make wise decisions.
Why do we need to store data?
In this digital world, every day we create a lot of data. And it’s not like that we create data, use it, and delete it. We need to store that data. Because we need that data for the future. Sometimes that data is needed for doing any special work, or sometimes that data helps us to make the correct decision. For example, in medical, a patient’s old record helps doctors to understand their disease, to understand which medicine helps them most to cure.
Sometimes, information is the greatest legal evidence. For example: bank transactions, hospital reports, contracts.
Furthermore, nowadays, Machine learning and AI rely on data science techniques to train models that can automate tasks, personalize experiences, and even detect fraud in real time.
Why are data-related jobs in demand?
Every day we create trillions of data. To analyse this data, we need skilled manpower. Business, health, education, IT -in every sector, we need data analysts. data scientist and data engineer. If you create trillions of data but can’t store them in an organized way, you lose it in a second and lose trillions of dollars in a second. So, you must need a data analyst and a data scientist in your business.
Why are data science jobs more in demand than other branches of IT?
There are very few people who understand data analysis. So these jobs are in high demand. Again, these jobs are not just technical- they also play a role in business and problem-solving. So, remote work and international jobs are open for a skilled data scientist with a good salary.
Will AI take these jobs?
AI may partially do some simple tasks. But AI is still not good at human reasoning, analysis, or understanding of context. Rather, a data professional can become more efficient by using AI as a collaborator.
In conclusion, we can say that Data is the gold of the present era.
Those who learn to work with data now will be ahead in the future job market.
Even in the AI era, people who analyze data were, are, and will be needed.
