Nowadays, data science is on the list of the most demanding professions. According to expert predictions, the popularity of this profession will be there for several years to come. We know that data has been considered valuable since the time immemorial. For example, in 1863, experts developed a diagram to show the mortality causes in the British army. During that time, the technology was not advanced enough. But this type of data visualization was pretty impressive. In this article, we will help you know if you can become a data scientist in 2 years. Read on to find out more.
We have always been aware of the potential of data. However, our ability to collect, filter, process, transfer, and store data has changed significantly over time. Today, we can use advanced tools to handle large scale data without any trouble. Regardless of the size of data, we can handle it efficiently with other tools.
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With these improvements, it has become possible to make great investments in the world of data science. This is one of the main reasons that the demand for data professionals has been on the rise. And therefore, more and more people are thinking of making a career in this field.
But the million dollar question is, what does it take to become a data scientist? Although it’s not an easy task o take, you can spend time and effort to get the hang of it.
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But, is it worth it?
Is it worth spending 2 years learning data science? The good news is that many people have landed their first jobs as data scientist in just 2 years. The duration can be a little more or less than 2 years. Let’s take a look at this question from two perspectives: monetary rewards and non-monetary rewards.
Monetary rewards
First of all, learning data science in 2 years comes with standard monetary rewards. After you have gained skills and knowledge, you may find it easier to land your first job since there is a lot of demand for these professionals in the world of data science. Partly, this is because there will be billions of AI gadgets down the road, and these gadgets will make the lives of people easier in almost every field of life.
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There is no reason to worry about the demand as it is expected to keep rising down the road. As a matter of fact, there is endless scope for data scientist for at least the next few decades. The good news is that data science applies to any process and business as long as data collection is involved. Therefore, most organizations of today have a high demand for data science professionals.
Therefore, even if AI tools replace some data scientists, the demand for these professionals will continue to rise. Therefore, you don’t need to worry about your employment in the future. You will be on the safe side as long as you keep updating your skills and knowledge in this field. After all, there will always be demand for experts as computers cannot replace humans.
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As far as your salary is concerned, you will be able to make plenty of money, based on your location and experience in the world of data science. Generally, data science professionals are well-paid. As a matter of fact, data science professionals earn higher than average salaries if you compare the salaries of these professionals with those of other professionals. Therefore, we don’t need to worry about this aspect.
Non-monetary rewards
Although these are non-standard rewards, they are as important as the monetary rewards. We cannot deny the importance of non-monetary awards. In this case, a most important consideration is the job satisfaction. We know that some tasks in the field of data science are quite boring, but you can at least enjoy most of your daily tasks.
In the world of data science, there is no such thing as “routine”. As a matter of fact, you will be able to get valuable insights and surprises from every data set. In other words, your job as a data scientist is to discover, analyze, and model large-scale data. And this is something far away from routine or tedious jobs.
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Apart from job satisfaction, there are other non-monitory rewards that you can enjoy as a data scientist. For example, analyzing data will provide you with something interesting to learn every time. Therefore, learning new things will refresh your mind from time to time. In other words, if you are a data scientist, you will always have something new to learn.
As a data scientist, you will learn about new tools and techniques from time to time. You will always use some tools, but the new tools will provide a lot better efficiency. Apart from this, these tools will come with new capabilities. Therefore, your job will be to keep learning and practicing these techniques and tools, especially if you want to stay ahead of the competition.
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This is another type of non-monitory reward that you can get as a data scientist. You may not be able to get these rewards in other professions. These rewards, challenges, and surprises will keep you happy throughout your journey.
Long story short, you can learn data science in 2 years and it is completely worth it. However, it is important to keep in mind that you will continue to learn new Tools and techniques for as long as you are in this field. Learning is a continuous process even for professionals like you.
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