Why Has Learning Analytics Become So Important All Of A Sudden?

Well, the globe was spinning fine without analytics. Everything was looking fine; the IT industry was doing well; the economy was looking stable. The Giants of the IT industry were getting bigger. Did we need all this? Of course we did. Every now and then, the market needs a shaking, or things start to get saturated and stagnant. Gradually the number of new industries decrease and the business falls for the old ones. The rise of big data analytics did not only shake the market but it just started riding it in full pace. So, there you got new skill sets; new posts; renewed vacancy and a revived economy. The best thing that data analytics brings into the market is equal chance for the small and the large companies to penetrate through the ranks of consumers. Then again it is not all about the commercial benefits. The way big data analytics has influenced medical science, military, security and technological development, is beyond conception.

The advancement of analytics has been consistent and has spread in a wide range of different industries. It is not that it has come under spotlight all of a sudden. It has been there for a while; it is true that the exposure that analytics is having in various trades is new, at least, in India and some other markets around the world.

It has become important to store, interpret, analyse and turn into usable insights, the data that is coming in a strong flux through various mediums. Social networking sites and youtube are making a great use of data analysis to customize their services and to earn more from the advertisements. At the other hand the product based or service based companies are manipulating the data that comes through these social mediums in order to set their focus on a certain part of the consumer base.

Oil and gas industries have remarkably reduced their costs and failure rates by the virtue of statistical analysis. They have become more efficient in discerning the right digging spots and spotting faulty equipments. Healthcare industry is putting data science and machine learning to good use in diagnosis and prescription. It is not a wild fantasy that a robot might soon start operating hearts.

These are only a few examples of the widely spread network of big data analytics. Everything is connected and therefore feeding this global phenomenon with data.

The startups that have grown in number in such a rapid pace are relying heavily on analytics. They are hiring data architects, data engineers, analysts, quite magnanimously. A lot of startups are spending overtly on their data analytics teams and others are outsourcing analytics services to other vendors. A whole new industry is in its making around analytics, where analytical service is the material to be sold. Companies trying to build their own analytics teams and analytics service firms, both kinds, are desperately looking for skilled professionals. The same goes to all the industries mentioned before and still more. This incredible demand on a global basis is what has brought analytics and data science in the educational framework. The obvious consequence of the demand is heightened salaries for skilled personnel. The average annual salary of a big data expert is 30% more than that of an IT professional. All this makes a contribution in bringing this subject to the forefront.

There is a seemingly immutable shortage of skilled data science programmers. Languages like SAS, Python, R etc, have not entered the conventional curriculum in India as yet. But when it comes to joining data centric firms, these are a must. A lot of small, mid-sized and new enterprises prefer not to invest on SAS; it is truly expensive and the expenses just keep on climbing. Python has become very popular as a programming language too; anyway, it is kind of new and yet to come to mainstream usage. R, however, is a language, essentially created for data scientific purpose. R analytics training can open a lot of opportunities for you. The libraries of R are pretty famous and they are quite regularly updated. It is an open source software environment that mainly supports statistical analytics. The community is highly active and the software suit has remarkably grown through the last fifteen years.

There is no denying the hard work involved in a big data job. But as you keep going, learning and discovering, you keep becoming more valuable. Big data analytics has, through its all pervading supremacy, become a part of numerous professional courses. Search for the best institutes, learn new skills and prosper.

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