Every day, thousands of people are moving towards the data science stream because of the allure of the field and great earning opportunities. Some might come from a specialized background, while others simply participate because of interest.
Here are 6 Highest Paying Data Science Certifications You Should Know:
The data science landscape is a dynamic space, almost mimicking the real globally, connected world. New technologies are being developed and applied year on year, and the transformation is likely to continue into the coming decade.
There is a rising demand for data science practitioners around the world. These job opportunities would continue to surge beyond 2020, adding more than 1.5 lakh new jobs. This trend is a natural response to data being an important resource for organizations in the digital age. We listed the top 10 highest paying data science jobs in India. This list is updated and irrespective of your work level, beginner/entry-level or middle level, these will help you decide the direction you want to go in next.
If you are aspiring for one of the best data science jobs in India, the salary package is not the only factor. Career growth, job security, and reputation make a career attractive.
If you want to know about the highest paying data science jobs, this article may help you. Currently, about 70% of data science-related job postings require less than five years of experience, provided the candidates possess the necessary qualifications and demonstrate the right skill sets. Read on to get familiar with the job titles, the must-have credentials, and the top recruiters in the data science field!
Data science comprises collecting, manipulating, storing, and analyzing data. It facilitates data-driven approaches for decision-making, thus fostering an environment of continuous growth.
Amazon’s online shopping site serves as a prime example of how data collection can improve performance. Amazon customizes the home page views of users based on what they search, purchase, and spend. In other words, it remembers datasets and provides useful product recommendations to fit customer needs.
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For this week’s data science career interview, we got in touch with Dr Suman Sanyal, Associate Professor of Computer Science and Engineering at NIIT University. In this interview, Dr Sanyal shares his insights on how universities can contribute to this highly promising sector and what aspirants can do to build a successful data science career.
With industry-linkage, technology and research-driven seamless education, NIIT University has been recognised for addressing the growing demand for data science experts worldwide with its industry-ready courses. The university has recently introduced B.Tech in Data Science course, which aims to deploy data sets models to solve real-world problems. The programme provides industry-academic synergy for the students to establish careers in data science, artificial intelligence and machine learning.
“Students with skills that are aligned to new-age technology will be of huge value. The industry today wants young, ambitious students who have the know-how on how to get things done,” Sanyal said.
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Data science arrived on the scene of the technological sector and the IT industry with an unforeseen and unprecedented rush and quickly made a big space for itself. In a few short decades it has taken over the computer science and technological industry completely.
This meteoric rise in popularity has led many people to start asking the question – “Is a data science certificate worth it?” The short and simple answer to this question is that yes, a data science certification is definitely worth it.
In this article we will go into detail about the reasons why this is so. We will also attempt to give some relevant information about the data science certification, namely the PGP in data science course.
1. One will be able to build a basic foundation of knowledge -
A very important point which a learner of data science should realize in the beginning itself is that data science is a very vast field. It is formed out of the intersection of many different fields such as mathematics, statistics, computer science, information science, IT etc. So it contains a large number of concepts and topics which are difficult to impossible to master in the beginning.
The disadvantage of trying to learn data science from a 4 year university or college program is that the learner will be taught a lot of cruft; that is, he will be taught a lot of concepts and topics which he will never actually need to use in the real world. But a data science certification course will teach him the bare minimum essentials of data science which will be relevant for his career in data science.
2. One will be able to associate with instructors possessing personal experience -
Very often it turns out to be the case that the instructors teaching the learners are academicians and PhD scientists. Over their years of study and research in the field of data science they have amassed a lot of academic knowledge about it, which they are more than willing to impart to the learners.
But they lack the practical experience which only comes from working in the industry and it shows in the lack of real-world examples and case studies in their presentations. But in a data science training course, the learners are taught by professionals with decades of experience from working in the field.
3. One will be able to make use of the latest technology stacks -
In any decent PGP in data science course the course content or the course curriculum is updated frequently to keep pace with the changes in the field of data science – namely with the most recent developments and advances. Since the instructors have been professionals in the past, they are familiar with the latest technological trends in the field and update the content accordingly.
The situation is very different in university or college programs where the wizened old professors teach the same course content for years on end.
4. One will get personal care and attention from the instuctors -
In a university or college program there are typically thousands of students enrolled in the same course. So it is near to impossible for the instructors to provide personal care and attention to the students. But in a data science certification course the instructors arrange 1-on-1 meetings with the learners on a regular basis in which the learners can get all their doubts and quries cleared.
5. One can accrue practical and hands-on experience -
Any decent data science training course always contains assignments and practical projects. These provide a means for the learners to accrue hands-on and practical experience under the guidance of the seasoned and experienced instructors.
So, is a data science certification worth it?
From the above points it can be clearly seen that a data science certification is completely worth it. Not only are there numerous benefits to taking a data science training course, but the demand for skilled and competent data scientists is rising steadily as well.
So anyone who takes a course such as a PGP in data science course will have no difficulties in finding a job in any sector or industry of his choosing.
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If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.
If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.
In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.
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The buzz around data science has sent many youngsters and professionals on an upskill/reskilling spree. Prof. Raghunathan Rengasamy, the acting head of Robert Bosch Centre for Data Science and AI, IIT Madras, believes data science knowledge will soon become a necessity.
IIT Madras has been one of India’s prestigious universities offering numerous courses in data science, machine learning, and artificial intelligence in partnership with many edtech startups. For this week’s data science career interview, Analytics India Magazine spoke to Prof. Rengasamy to understand his views on the data science education market.
With more than 15 years of experience, Prof. Rengasamy is currently heading RBCDSAI-IIT Madras and teaching at the department of chemical engineering. He has co-authored a series of review articles on condition monitoring and fault detection and diagnosis. He has also been the recipient of the Young Engineer Award for the year 2000 by the Indian National Academy of Engineering (INAE) for outstanding engineers under the age of 32.
Of late, Rengaswamy has been working on engineering applications of artificial intelligence and computational microfluidics. His research work has also led to the formation of a startup, SysEng LLC, in the US, funded through an NSF STTR grant.
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