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Advent of Data Science

The Advent of Data Science

Posted on December 20, 2018 by Dr. Yavar Ehsan  | Academics | Blog

The Advent of Data Science

When Big Data came on the horizon, big opportunities for working with tools like Hadoop and MapReduce amongst others were introduced. With the emergence of Chief Digital Officers or CDOs as they are better known, an entirely new arena has opened-up creating huge opportunities for data centres.

Now that corporations and government agencies have realized the value and need for data management, a whole new world has emerged. Tools like Tableau and Python have gained popularity as they are being used more and more by Data Analysts and Data Scientists.

Why Data Science is crucial

Data governance has become very critical for large corporations. With cyber-crime on the rise and data losses amounting to billions in Intellectual Property, organizations have adopted serious measures in managing their assets. Under the purview of the CDO, Data Curators, Data Engineers, Data Analysts and Data Scientists such issues amongst others are being tackled.

Functions such as metadata management and predictive analytics have helped create, believe it or not, 'data lakes', which are enterprise-wide data management platforms for storing data of all the departments in one go-to reservoir of information. These not only help in data mining but also help create data archives in warehouses.

How to become a Data Scientist

Overwhelming as it may seem, the key is to get a proper understanding of what all this means for you or your organization. A formal training for sure is essential. Due to the huge demand, there are several options and various formats available to get trained or certified. However, when one is convinced of spending their time and resources, they need to realize that at the end of the day it is quality education that will pay off.

Getting trained as a Data Scientist is opening numerous avenues of consultancy projects and job opportunities both within and outside one’s organization. It is certainly the ‘in-thing’ for promotions. Even smaller organizations that may be hesitant to take the plunge are realizing the benefit and promoting qualified personnel from within the company to wear the Data Analysts’ hat.

All this may be intimidating, however, there is hope on the horizon. Highly reputable Data Science Courses are now available which can put things in perspective and help in understanding things in-depth. For the enthusiasts, there are Master’s in Data Science courses from reputable top-notch universities. One needs to introspect and figure out how far do they want to go. In the next few years, Artificial Intelligence and the Blockchain combined with Data Science will literally change the way we do most routine things. A good programme will provide a deeper understanding of what to expect and how to prepare for the change.

I would, therefore, suggest to the knowledge seekers to check out the credentials and quality of programmes being offered. Those who can get into an IIT that would be wonderful, however for the rest of us there are world-class university backed options that offer the best of both the worlds - providing quality education by the finest in the industry and certification that enjoys global recognition.

How will Data Science evolve in the future?

As if mobile communication was not enough, Internet of things (IoT) is set to generate more data than we can ever imagine.

A key area, for instance, where this is particularly useful is criminal investigation and biometric analysis. With technical advancements and increasing usage of information technology in the health-care sector, there is a huge amount of data available with the medical practitioners than has ever been available before. In the near future, greater precision data from wellness trackers like fit-bits and other forms of wearable technology will be incorporated for better patient diagnosis.

Analysis done from legacy systems can help forecast future outcomes. The coming together of biological and clinical data has created immense opportunities for better diagnosis of diseases and health complications. The impacts of natural and clinical variables are considered to anticipate the headway of explicit diseases or prosperity perplexities.

Deeper Learning is becoming possible however it requires further elucidation for Business Analytics. Prescient Analytics requires a variety of abilities in different areas. The near future is bound to witness more precise and area-specific applications requiring specialized skill sets in Data Analytics.

The ones who will realize it’s worth and take time out to understand the science behind data management will not only get ahead of the rest, they will also be in a position to take the bull by its horns and take the lead in bringing about a greater good to society.

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