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Why Should you Become a Data Scientist

We have already discussed why and how “Big Data” is all set to revolutionize our lives, professions and the way we communicate. Data is growing by leaps and bounds. The Walmart database handles over 2.6 petabytes of massive data from several million customer transactions every hour. Facebook database, similarly handles millions of pictures being uploaded every day. Data Scientist source:datamyze.com The solution to every Big Data issue rests on the shoulders of what we call as a Data Scientist. A data scientist is in charge of management and analysis of databases that are too big and unstructured to be accessed and handled. Thus, with the use of data increasing rapidly among all major companies, the need of Data Scientists or Data Analyst Specialists is on the rise.

Data Scientist: "The Sexiest Job in 21st Century" -Harvard

In the words of Rob Bearden, CEO of Hortonworks, the career as a data analyst is one of the most sought after position these days.  The relevance of a data scientist can be judged from the fact that the talent pool available when it comes to data scientist is roughly 20 percent of the existing demand in the current market. Given the scarcity in the number count of data scientists, the imbalance has created a great career avenue for the present lot of data scientists or data analyst specialist. Any qualified data scientist can demand a comprehensive salary package. To read about the skills required to become a Data Scientist, you can read our expert article here. The gap in the market and the availability of talented data scientists is so wide that a fresh pass out having professional qualification in data analysis studies can demand up to $125,000. With experience by your side, the data scientist can demand a salary package in the range of $250,000. “Hadoop” is by far the most popular Big Data technology that is used by Data Scientists. To know more about Hadoop and Big Data, you can read our article here.

Career Prospects

Three speciality fields have been identified by the experts and they feel that the career prospects will get confined within the below listed segments:
  • Technologists who are responsible for writing algorithms along with codes which help in transversing large amount of data.
  • Statisticians and Quantification experts.
  • Art explorers and creative people who can navigate content in a creative manner.
However, each of the above listed areas require specific training and those who are able to reach the pinnacle of success in these areas can only survive and prosper as a data scientist. A number of Universities offer professional courses in data studies and if you desire to enroll for one in United States, you can enroll for a course in Arizona University, University of Georgia among a range of others.

A Bright Future

As a data scientist, the career prospects are booming. Over 4.4 million Information Technology jobs are set to be generated over the next two years to support development in the data analysis scenario. Almost half of the jobs in data analysts or data scientist segment are set to be in United States of America and this has turned the country into a hot spot for data scientists who wish to take their career to a new high in the coming years. It is not as if only a professional with a degree in data analysis can seek a career as a data scientist. Even a Marine Biologist with a deep rooted understanding of qualitative and quantitative research methods and techniques too can seek to take his career prospects to a new high in this rapidly emerging profession. The work as a data scientist might seem challenging to those who wish to remain confined in a safe cocoon but if you can dare to be different, the career prospects are bright and you will rise to the peaks of success soon enough. If you aspire to become a Data Scientist and learn Hadoop you can refer to this page. Post Your Enquiry for Related Courses Here >>

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Related Questions

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If you want to shape up your career for next 4-5 years, go for Apache Spark. Knowing Hadoop would be a big plus. Since Spark ecosystem integrated with YARN.
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