Science and technology have been made quantum leaps in recent decades. With such vast developments, our lives have become pretty simple.
Whenever, we switch to the YouTube, there are many recommendations as per our choice. While texting someone, the keyboard automatically shows the exact word which we want to type. Whenever, we search anything on Google, it shows the time taken to produce the results. In fact, we always see some advertisements on the Google page. Then, you can always see some suggestions of similar products which we are looking on Amazon, Myntra, Netflix etc. Even, on Facebook, we get friend suggestions based on the number of mutual friends.
Have you ever wondered how do all these happen within such a short span of time? Well, no? Then, here is the answer. Yes, the domain of data science is responsible for all these magic happening in our daily life. Though, these are petty things occurring in daily life, yet they play a vital role.
The field of data science must have become quite fascinating for you. Now, you must be thinking that what are the degrees required to become a data scientist. Though no special and certain degree is required, yet, almost all the data scientists are either master’s holders or PhD holders. After completing their higher educations, they take some courses on data science. The data scientists are found in almost all fields like mathematics, physics, artificial intelligence, logical reasoning, business, finance, machine learning, programming, statistics, data mining etc.
To become a data scientist, the technical skills of a person should be pretty strong. They should have good coding knowledge. It is always recommended to know any one of the programming languages accurately. These languages may involve Python, Java, Perl, C++, C, SQL, Pig etc.
In fact, machine learning is another field where the data scientists should be proficient. Most of the data scientists are not that good in topics like neural networks, survival analysis, computer vision and other related topics.
Since the amount of data to be dealt by a data scientist, and a data analyst is huge, they should also have in depth knowledge of data visualization. They should be able to visualize the data and translate them into a simple format that could be comprehended by common mass.
In companies, data scientists play an important role in fraud and risk detection. Due to the maintenance of huge data, it would become difficult for the organization to store such huge data. Sometimes, they could not even keep track of the lost data. Thus, these scientists take the responsibility of preventing the company from problems like debts, loans and losses.
In fact, data science is used in hospitals, airlines, health cares, human resources, automobiles, computer games, speech recognition, image recognition, digital advertisements, government policies, marketing, robotics and every other possible industry where the production and storage of data in necessary.
The demand for data scientists is expanding exponentially. The number of data scientists produced each year is less than the number of scientists required.
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If you want a secured job after the completion of your studies, then this is the best job. Though, you have to study a bit harder, yet the fruits are always sweet. Taking up an online data science course singapore from ExcelR will always be beneficial!
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