What is Motivating Individuals to Pursue a Career in Data Science?

What is Motivating Individuals to Pursue a Career in Data Science?
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Here is the list of key drivers that are fostering the growth of career in data science among individuals

The popularity of data science education has soared over the last few years. Subsequently, the field's job prospects have also gone up, with companies worldwide looking to hire skilled professionals to drive business processes. Following are the key drivers fostering the growth of career in data science. 

Diverse Roles

With booming data science demand, job positions are abundant. The most common job roles are data scientists, big data engineers, big data analysts, database administrator, senior data scientist, IT business analyst, business operations analyst, business systems analyst, lead business analyst, associate business analyst, IT analyst, business technology analyst, associate data scientist and more. 

Personal Improvement

Learning data science not only allows professionals to help their companies, but the nature of their work also enables them to advance in their career, embracing multiple analytical skills over diverse domains like machine learning, big data, predictive analytics, and others. This extensive pool of knowledge provides them with a unique status and makes them different from others.

Heightened Demand

Emerging as a linchpin for business growth, data science is one of the most in-demand job options in India. This demand is continuously rising as organizations realize their troves of data. According to our analysis, the job trend graph for data science proves that there is a growing demand for data professionals and as a result, there is a significant rise in the number of job opportunities.

Handsome Salaries

Foresighted companies know the significance of their data, and to process them, they pay high salaries to get skilled and talented data professionals that can help them derive value from their data. The data science salary trend can be varying organization to organization and on skills and experience level.

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