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Growing Demand for Big Data & Data Science- How to Become A Data Scientist?

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Ramesh Sampangi
Growing Demand for Big Data & Data Science- How to Become A Data Scientist?

The high-paying job roles in Data Science have made it become a lucrative career option for everyone. To excel in a career in Data Science, one needs to develop skills in different aspects including programming, statistics, data analysis, data management, data mining, data visualization, and many other concepts. Speaking of programming, Data Scientists need to have knowledge of Python or R programming along with SQL databases. Data Scientists also require critical skills in areas like Machine Learning, Artificial Intelligence, Deep Learning, and TensorFlow.   Data Scientists are being recruited in the industries across the verticals and can expect high salary packages depending on how they deepen their knowledge.

Growing Demand for Big Data:

As data permeates our lives and companies try to make sense of the data they generate, qualified data scientists continue to woo businesses large and small. With more and more industries recognizing the benefits of using analytical data to improve big data business practices, career opportunities in data science are exploding. Data science is not only a state-of-the-art field that allows you to have an important impact on your business on a global scale, but also one that is growing at an astonishing rate.

As a Data Engineer, you can be interested in software development, data infrastructure, or the construction of complete data pipelines. The most important thing that you need to do to become a Data Scientist is to clear your Data Science course certification The skills that you develop from this course will help you in handling the core technical challenges in Data Science and helps you in getting your first job as a data scientist. Some Data Analysts are using their programming skills to shift to more general developer roles. Some treat their data scientists like data analysts, combining their tasks with those of a data engineer, while others need high-level analysis experts familiar with intensified machine learning and data visualization.

Many industries, including IT, Software, Business, Banking, Insurance, Industrial, Science Research and Development, etc use big data to influence decisions. This allows other team members to turn data into useful insights and products. This task involves collecting large amounts of data and transforming them into insights so that companies and organizations can take useful measures.

Data Science Salary Packages:   

According to Glassdoor, the average salary of a data scientist is $108,224 a year, with salaries ranging from $79,000 to $145,000 based on knowledge and expertise. Common job titles include analyst, data scientist, research scientist, and consultant. The term "data scientist" is new compared to the other roles mentioned above.

According to the report, the number of job openings in data science and analytics is estimated to increase from 364,000 to 270 million in 2020. The field will become even more popular as mechanical engineers will be the largest labor market in 2021. Aspirants who are keen to excel in a career in Data Science can prefer to be a part of AI Patasala’s Data Science Course in Hyderabad program. The training delivery in this course will be headed by frontline Data Science industry experts.

 

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