Defining Data Science is like defining nature. It should be easy as it is all around us, but expressing it in words is difficult. It is a lot more than what we perceive.

This world is data-driven. Today, data is not something to be managed but something to be valued. Data science includes a set of standards and calculations for finding valuable patterns from enormous data sets. It is largely connected to data mining and artificial intelligence, but more extensive in scope. It utilizes various speculations and procedures drawn from various fields such as computer science, statistics, and mathematics.

In this world of transformation, the demand for a data scientist is increasing, and a person with incredible mathematical acumen can become a good data scientist. Data scientists can identify customers' expectations by analysing their regular habits and hobbies. They help to figure out competitors and their strategies. They define short-term and long-term objectives and accordingly provide the responsibilities to different staff members. They measure the success of the strategies and introduce changes if needed.  To state clearly, data scientists monetize the data. There had been examples that a few companies have earned millions using data science.

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