Salary trends according to the various aspects of the field of data science

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Salary Trends According To The Various Aspects Of The Field Of Data Science

With the announcement of careers in the Data Science industry, being considered to be the sexiest of the 21st century; there was a huge shift of popularity towards this field, both in terms of companies as well as professionals. A decade ago, getting an entry into any professional field was pretty easy, in comparison to the present times. Today, just having an MBA degree or a PhD degree in a related field, does not cut it. The most popular hiring trend, which a lot head honchos belonging to HR abide by, is a candidate who has a specialized certification in specific tools. This applies similarly to the field of Data Science, which has led to a lot of candidates grappling in search for institutes, providing the best in class specialization courses. Institutes like Imarticus, with their experts run learning programs and their teaching methods of practical implementation and experiential learning, rule the roost in terms of offering specialization courses. Imarticus in particular offers a number of specialization courses, which ensure that a candidate not only has all the knowledge about that particular tool, but also about all the relevant industry requirements. When we talk about the field of data science, there are certain specific attributes, which we must be acquainted with. Those professionals working in this field, better known as Data Scientists, are highly skilled, in both Big Data and Data Science, which results in them being offered the highest salaries available in the market. India has been no stranger to the various possibilities that data science has opened up for professionals wanting to work in this field. But, what is surprising is the fact that the best city, to work as a data analyst in India, is not the IT hub, Bangalore or the economical capital, Mumbai,


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Salary trends according to the various aspects of the field of data science by Imarticus Learning - Issuu