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Countless graduating engineers want jobs either in software engineering or core engineering. still, only few have suitable skills to be employed in software or product market, and only 7 per cent can handle core engineering tasks.

According to the India’s ministry have around 6000 engineering and technology institutions which are enrolling 2.9 million students. Around 1.5 million engineers are released into the job market every year. But the dismal state of higher education in India ensures that they simply do not have adequate skills to be employed.

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60-65 percent of the workforce is just not trainable- A view echoed by Capgemini CEO.

The real basis is a large majority are engaged in jobs that are likely to be non-existent in the future. The old traditional physical jobs are likely to be replaced by automation and cloud computing that considerably reduces the size of the employees.

WHO IS TO BE BLAMED?

I assume it’s moment for us to face the reality. 90% of Engineering and MBA graduates that come out of our education organization lack fundamental communication and interpersonal skills. Which in-turn makes then entirely unemployable. The contributing factor being the quality of education provided in majority of these engineering colleges. The need for CHANGE is here. This is an issue which needs immediate attention.

Engineering organizations are generating so many graduates, but corporate’s often complained that they are not getting the skills and talents which are required for the entry level jobs.

Corporate today have to spend enormous amount of money and time in training the fresher graduates after employing them, not only on the technical front but also on something as basic as communication.

Following factors which contribute in making engineers – Unemployable:

Quality of the education: Outdated learning curriculum and old teaching techniques.

Theory v/s Practice: Our educational system focuses only on theoretical knowledge in spite of it should be more practical.

Exams: Indian education measures the learning on the basis of one final exam; instead it should start concentrating over assignments. Due to this stone-age methodology of evaluating knowledge, the students’ lay emphasis on only the exams and not on learning the subject.

Research: There is not much scope of research with our institutions.

Lack of exposure: Most institutes don’t provide internship opportunities. They should understand that an internship provides exposure to students, about the kind of work done in companies.

Professors: Majority of the professors don’t know how to teach, they are neither open-minded nor updated with the latest advancements. Moreover, in majority of our engineering colleges the lectures happen in local languages despite the curriculum being in English. I have personally witnessed the same. When the professors itself lack the basic communication and exposure required, how does one expect the students to be skilled?

More Supply – less demand: As more and more graduate fresher enter the job market, the supply and demand cycle is getting effected.

In addition to this, some drastic changes are required in our educational system. The government should work with priority on this matter, as it affects a lot of people’s life and indirectly affect the future of INDIA.

This is India; these things won’t change for decades so you guys have to work on it yourself. Stop waiting it be spoon fed and Start behaving like engineers.

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To all the unemployed fresher out there, i know how it feels to be unwanted but this is what will drive you to better opportunities.

Focus your time and energy only on learning because there is lot of opportunities waiting for the right candidate.

This means somebody who has upgraded their skills have a secured future and an edge over their peers. Business Analysis is already a buzz word. It is high time you consider building new abilities.

What is meant by the term ‘predictive analytics’? Many a data aspirants must have wondered quite a lot of times in their journey in this field. When we talk about predictive analytics we basically mean to talk about the usage of various data, statistical algorithms and varied machine learning techniques that help a person to not just identify but also make optimal use of all of the data in order to realize the best outcomes in keeping with its history. The main aim herein is to actually ensure what will happen while progressing expertly from what has happened in the present stage.

For many who think that predictive analytics is a by-product of the contemporary times, they are sadly living under some pleasant misconceptions. This field was always in the existence since decades. The only difference here is that today this field has emerged as quite a force to reckon with. This new age and contemporary development and coming to the fore of this field is due to a huge number of reasons. In a nutshell, we could talk about the various reasons like growing amounts of volumes of data, while more interest seems to be growing in generation and collection of this data.

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Apart from this there is the availability of cheaper and faster computers and computing systems all across the globe lately, even in the most remote parts of the most remote villages. Data generation and analytics is in a lot of ways an easier to use software which adds to the ever growing competition and tougher economic conditions which make companies strive harder to become their very best versions. With the emergence of new and interactive technologies, have resulted into a huge shift in the technology and the way it works especially in the field of predictive analytics. Today it no longer remains the field of mathematicians or statisticians, but rather has soon transformed into the field of business experts and business analysts.

Predictive analytics is used widely in various different types of verticals in the industry. These include detecting fraud, wherein multiple analytical systems can actually devise methods that help in improvement of the pattern of detection and help in the prevention of crime and criminalistics behaviour. It can also be used in optimizing marketing campaigns. These very systems then help one in promote cross sell opportunities in order to help businesses grow and attract more and more customers as well as retain and grow the most profitable customers.

These modules help prevent any kind of reducing risks and helping the companies increase their credit scores. This is why many financial firms usually follow the route of predictive analytics in terms of protecting the firms from any sort of financial debacle. Developing predictive models is a firmly strong practice followed by many. There are many professional training institutes in India as well abroad which offer a number of courses in various data analytical tools as well as predictive analytics like Imarticus Learning.