By Nafisa Khatoon The course will encourage students to create projects using indigenous solutions to solve local challenges To increase technology integration in schools, the CBSE has introduced Artificial Intelligence (AI) and the Internet of Things (IoT) in the school curriculum from classes VI to X. The initiative was launched jointly by NITI Aayod and Atal Tinkering Lab (ATL) in October 2022. This was introduced as the pilot project in 59 schools having Atal Tinkering Labs (ATL) at their campuses. The schools are now making efforts to include students who are outside the ambit of ATLs. “CBSE has introduced emerging technologies such as AI, Data Science, AR and VR as skill subjects for classes VI-XII. Presently, more than 10,00,000 students from more than 5,000 schools have enrolled in these subjects. As its integration into academic subjects and teaching pedagogies is in the early stages, CBSE is conducting organizing capacity building programs for the teachers,” says Biswajit Saha, Director (Skill Education), CBSE. Intel was roped in to offer technical support and create the course activities. “We want to create a digital-first mindset among both teachers and students so that they can work in the AI-enabled future,” says Shweta Khurana, senior director, Global Government Affairs, Intel. The curriculum includes creative lesson plans for students to work on projects offering solutions to local problems. “The initial part of the program focused on training the computer teachers on AI and IoT, where we encouraged them to create lesson plans based on the new technologies. Students are encouraged to learn these technologies at ATL to create projects with social impact and build indigenous solutions,” adds Khurana. The National Education Policy of 2020 (NEP 2020) recognized the immense potential of AI and recommends its integration into the education system. “The larger aim is to align with the NEP 2020 and optimize the current ATLs infrastructure to make Indian schools AI-ready. For example, class IX students will gain knowledge through the newly designed lesson plan that focuses on identifying reasons for back pain and developing an AI-driven solution. They will work in group projects to develop an LED device that glows, whenever an incorrect posture is detected and green light glows when the correct posture is retained,” says Khurana. The technology has also been introduced in class IX textbooks of Social Science to create interesting lesson plans. “Science students are guided to understand why plants die in winter. Through the lesson plans, they are allowed to use tinkering tools like sensors to record the moisture level of the soil. They are then supported to deploy a supervised AI model to predict the plant’s health by making use of the recorded data. In another scenario, an English teacher built a lesson plan for explaining the poem ‘The Road Not Taken’ by Robert Frost using the scientific probability method in computer labs,” she adds. So far, more than 20,000 teachers are trained, who are imparting knowledge to 350,000 students through boot camps and mentoring camps.
By pursuing a course in Data Science, students can upskill themselves in various domains that would make them job relevant for diversified roles in industries ranging from Telecommunications, Aviation, Agriculture, Banking, Healthcare, etc. Fresh graduates studying data science are quickly getting absorbed as they are introduced to some mathematical topics along with programming languages including Python, R, and SAS. Most students after completing their course in Data Science, are getting placed as data scientists, business analysts, data engineers, and risk analysts. The National Skill Development Corporation (NSDC) also offers short-term courses in Data Science, Data Analytics, and Data engineering. Recently, NSDC has joined hands with Scaler, an EdTech startup to technically up-skill Data scientists, machine learning specialists, and software development engineers in emerging growth areas. Students who have recently completed the course from SP Jain Global School of Management have got jobs ranging from $ (AUS) 78,000 to 120,000. Students placed in Indian companies have got jobs ranging from Rs 22 to 36 lakhs. Some of the companies where students have got placements are Macquarie Group, Amazon, Wolters Kluwer, EdgeRed Analytics Pty Ltd, Integrity Solutions, NSW Government (Grad Program), Viettel Big Data Analytics Center, OCB Bank, Savills Vietnam, and ITR Vietnam. In 2021-22 batch of MTech in Data Science at IIT Guwahati, a total of 14 students enrolled in the course, and all of them got placed in IT giants such as Accenture, Axtria, Cisco, HCL, IBM, Microsoft, MTX, Oracle, SAP Labs. The highest salary that was offered to IIT Guwahati graduates in 2022 was Rs 38.40 lakhs. Speaking to Education Times, Bhupesh Daheria, CEO, Aegis School of Data Science, Mumbai, says, “Data Science courses are gaining popularity as the course is real-world problem solver across all industries and business that functions through data assimilation and interpretation. These courses train students to build models that enable commercial banks and Fintech startups to assess a customer’s eligibility for a loan.” Students pursuing courses in Data Science can also contribute their bit to stop evils like child trafficking by analysing the data. In addition to this, Data Science students are even taught to create recommendation systems that allow e-commerce sites like Amazon, Flipkart, Netflix, and YouTube to provide personalised products and content for their customers which increases their sales and profits. Data Science students are trained in a range of topics, including Linear Algebra, Calculus, Probability, Statistics, Python programming language, database management, big data, data visualisation, machine learning, deep learning, Natural Language Processing (NLP), and business domains, adds Daheria. “Students are picking Data Science to study as it provides intellectually challenging roles, attractive salary packages, and attractive career opportunities worldwide,” he says. “Many instances have come to the fore where students have built AI proctoring systems for cheat-proof examinations and systems of fair job recommendations,” adds Daheria. Around 1500 full-time and executive students have graduated in Data Science from Aegis School of Data Science and all of them have got placements with companies like KPMG, Lenovo, Redhat, E&Y, Teradata, Teradata, Indegene, Morningstar, HDFC Bank, Go Air, Vodafone Idea and many more,” informs Daheria. Ratnajit Bhattacharjee, head, Mehta Family School of Data Science and Artificial Intelligence, IIT Guwahati, says, “As the entire industry is becoming increasingly data-driven, demand for Data Science graduates is perpetually growing. As large amounts of data are being generated daily, correct and meaningful information needs to be extracted from it which will be beneficial to businesses ranging from agriculture, healthcare, communication industries, transportation, etc. In 2021, we introduced a BTech programme in Data Science to cater to growing demand.” Professor Abhijit Dasgupta, director, Data Science programme, SP Jain School of Global Management, Mumbai, says, “Data Science is taught through the perspective of Computer Science, Statistics, and businesses which gives the students a 360-degree overview to devise solutions to the existing real-world problems. Apart from the students, even working professionals pursue Data Science courses to up-skill themselves after gaining work experience.”
Professor of Mathematics at the University of Oxford, England.
He is active in developing research partnerships between academic and commercial interests, and in deriving value from knowledge and research via Innovation and Knowledge Exchange.
He is an internationally known expert on digital transformation, data science, and behavioral analytics.
We are part of a competitive world, and there are spaces where a lot is expected these days from a student, whether its academic excellence or being extremely skillful. Talking about the varied approaches made by companies to collaborate with universities on a global level, is something to ponder upon.
Discussing the future prospects of collaborations with MNCs and the fundamentals of Data Science and Mathematics, we have with us, Prof. Peter Grindrod CBE. Prof. Grindrod is a Mathematics Professor at Oxford University.
Here Prof. Peter Grindrod talks about the scope of university-corporate collaborations, digital media and businesses, and how budding entrepreneurs should step into the market.
We have witnessed unemployment lately due to the ongoing health crisis. I would like to know what are the companies expecting from universities, not in terms of value proposals but based on developed countries or developing countries or students?
I think it is quite hard for most people within universities to put themselves in the shoes of the people within the companies. The company leaders and managers desire to research that is based on the urgency and the depth of ambition of their plans of action. They do not have the luxury of time. We in universities need to have a very clear perspective: why should companies work with us? The companies actually need to collaborate on R&D that they cannot easily do themselves, or even do at all; and that they cannot justify to their own shareholders, perhaps because it is too risky, too long-term, requiring a range of skills they do not have, or requiring an existing track record and some momentum. They are also seeking disruption and talent.
Corporates think about their collaborations based on the idea of “open innovation networking”, which is a completely different approach from the old, closed, “everything in-house” style of secret development. And open innovation networking means that they must engage directly with universities and other companies who might do things that they themselves cannot – so that they have some real options for their future activity.
The companies may also wish to collaborate with universities because of their access to public research funding. The role of public money should really be to enable upstream research that the companies cannot easily justify to themselves, but that might be highly disruptive.
The academic fraternity needs to understand how companies plan and carry out disruptive research, and ask why would companies reach in and partner with us? There are very many good reasons for them to do so, as I have illustrated.
If anything “lethal”, highly disruptive, even happens within the universities, then of course companies will look into it. However usually when a company decides to collaborate with a university they will have a very clear idea of what are they looking for.
In problem-solving, companies usually wish to resolve a problem in a time span of 6 months, or maybe let’s say 3 months, whereas the universities are stuck trying to resolve problems on a 3-year timescale (equal the length of a post-doc or a Ph.D. project). Exceptions are those companies that have long term development plans: say for next-generation jet engines or drug discovery, and so on. In general though, corporate timescales are shortening, and especially within the digital economy where I work.
A year is a very long time in digital. So we have to overcome that mismatch. One way to do so is to hire post-docs long term (over years) and allow them some freedom, for maybe half of their time, to be researching in their own fields of interest so as to become independent researchers; while also asking them to become involved in a string of short “sprints” or “fail fast” projects with the corporate partner for the other half of their time. This works well.
Oxford particularly is a massive entity in itself, and the major collaborations made by us have been with larger corporates mostly and they have lasted for a long period. The programmes which lasted the longest are projects based on biomedical science, engineering, etc. But as I said time-scales are much shorted with the digital, fast-growing, sectors that are critical for national economies – especially post-pandemic.
Universities need to manage those corporate partners that are large and diverse. Beyond the present particular engagement, we should guarantee that the partner will be networked into all possible parts of the university and that the university will become networked into all parts of the company. And there must be a strategic conversation at the highest possible level, outlasting any particular present project.
We have been witnessing the startups growing rapidly, and there are budding entrepreneurs all around. So when companies collaborate with universities, do you believe that they should assist these budding startups on the go?
It is good that universities and their collaborating organizations provide funding to these start-ups, especially those started by our graduating students. But it’s never easy to start companies from nothing, it requires a lot of passion, time, and commitment. I have done it when I was outside of academia.
So when people have started companies and are at a very early stage, they lack knowledge, experience: but on the other hand can they think outside of the box? They are often overly optimistic and underestimate their need for listening, networking, and business development. I do think it is very important to enable students to run start-ups: actually, I think there should be funding available to people even before they crystallize their own business venture. Why not invest in 100 students per year, hold a competition, and award them a one-year bursary, as a salary? After ten years you will have supported 1000 people, each of whom wants to cross the chasm from graduate to entrepreneur. What if every large university did that?
If I talk about India, I think that in planning for success, a little more risk might be taken to invest in visionary and radical people (and their ideas); people who are passionate and determined enough to be successful, but who have a solid background of academic achievement.
Paying emphasis on incorporating new curriculums, what according to you are the companies expecting when they are looking forward to collaborating with universities based on their academic infrastructure?
Firstly, I believe that courses such as MBAs that are based on data science, artificial intelligence, and various 21st-century digital agendas or digital transformations, dwell far too much on the details (the functional details of the what and how of machine learning, for example; or learning about mean, median, and mode), instead of focusing at a much higher level on how one should harness data science, and how to lead data scientists.
Leadership and vision are the keys. I myself, as a mathematician, I cannot “drive” a computer but I do know how to get the best from those who can. This detailed focus is a common error and it also pervades the way that data science is dealt with in the military and civil service. There seems to be a mad belief that anybody could get the best out of data science and AI ventures as a leader. This is itself a skill and it requires some close attention. You cannot “luck-in” to it.
Secondly, applied mathematics turns out to be a good option because of its rigorous underpinnings. The courses are a little slow to evolve but I think that graduates can deliver great outcomes. Here at Oxford, many maths students are opting for network science and related courses, for example. So if the data science training is put together along with applied mathematics then that can work in everybody’s favor, and it will be popular with the industry.
It’s a great endeavor, I believe if initiatives like yours instill better ideas to improve the teaching and learning system. If your idea is to bring a positive change in the education sector, then I think Eduvoice is doing a really good job.
Prof. Grindrod has enlightened us with various possible opportunities that might nurture the growth of budding industries shortly. If the idea that Prof. Grindrod believes in is executed wisely, then surely it will benefit the academic growth of the university as well as the student.
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IIT Roorkee has launched two new MTech programs under the recently established Centre for Artificial Intelligence and Data Science (CAIDS). Artificial Intelligence (AI) and Data Science (DS) have the power to solve real-life problems and benefit humankind by harnessing valuable information from big data.
Academicians, professionals, policymakers, and business leaders are working towards creating a sustainable society with intelligent automation of complex real-life tasks powered by AI and DS.
Such efforts provide better research opportunities and innovation leading to skill enhancement and empowerment of the Indian workforce. IIT Roorkee has set up a Centre for Artificial Intelligence and Data Science (CAIDS) with the above in mind.
Promoting Research in Artificial Intelligence and Data Science
The CAIDS intends to develop significant and effective methodologies towards the advancement of artificial intelligence (AI) and data science (DS) applications and studies in the country, and thereby promote teaching, training, and development of manpower applied research, entrepreneurship, and innovation in the field of AI and DS.
The primary objective of CAIDS is to promote innovation and research in the fields of AI and DS, provide vital and active technical support to national and international projects, and support Make-in-India and Aatmanirbhar Bharat initiatives of the Government of India by seeding entrepreneurship and start-ups in AI and DS domains.Further, the facility would act as a resource centre facilitating rapid DS and AI information and knowledge dissemination.
Two New MTech Programmes by IIT Roorkee
CAIDS has launched two MTech program which would commence from the academic session 2021-2022:
MTech Programme in Artificial Intelligence (AI)
MTech Programme in Data Science (DS)
These two MTech programmes will train human resources with an in-depth knowledge of the tools and techniques necessary to translate data into actionable decisions.
From 15 different departments of IIT Roorkee, 23 faculty members from have joined CAIDS as joint faculty of the centre.
Course eligibility: The candidate having BE/BTech/Integrated MSc or equivalent degree in any engineering science discipline can apply for the course.
Applicants must also have a CGPA of 6.0, shortlisted candidates will be selected on the basis of an online interview.
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“There are two things that build the foundation of students’ minds: one is the course material which according to me is well sufficient and the other is how students intake it.” – Ms. Manisha Dhingra.
In a world that is increasingly becoming a digital space, around2.5 Exabytes of Data is collected each day. Every industry collects data so that they can make more careful decisions. Data is nothing if analyzed and evaluated properly.
Earlier companies employed statisticians to evaluate the data and convert them into useful information but as the technologies have evolved, Data Science was born.
Data Science is a recent technology; it is a field of computer science merged with statistics. The domain deals with processes and systems that are used to extract knowledge or insights from large amounts of data.
It has far-reaching implications in many fields like academic and applied research domains such as machine translation, speech recognition, digital economy on one hand and fields like healthcare, social science, medical informatics on the other hand.
Data Science also affects the growth and development of brands by providing a lot of intelligence about consumers and campaigns, through techniques like data mining and data analysis.
Data Scientists are well versed in problem-solving and are assigned to find patterns in data. Their goal is to recognize redundant samples and draw insights from it. They have an abundant amount of knowledge about various languages and technologies that they use in computing the data.
Eduvoice Understanding The Needs And Bridging The Gap!!
The need for Data Scientists has increased within the last decade. That is why it is important for people to know more about this field and how to get a job in it.
To explore more around such domains we at Eduvoice invite corporate leaders of various domains who share their insights about how the industry works and what skill set an optimum candidate needs to possess to get a job in it.
This will not only create more such leaders but also improve the Educational System of the country.
Let’s Get To Know Ms. Manisha Dhingra!!
This time we got an opportunity to have a fruitful conversation on the skill set of Data Science with Ms. Manisha Dhingra, who is a Data Scientist and Software Developer at Swiggy.
To commence the conversation we asked Ms. Dhingra about her journey to which she said that she did her graduation in B. Tech (computer science) from the BITS Pilani Hyderabad campus. From there she got an internship of three months in a company named 24*7. AI, as a data science intern. After that, Manisha got a campus placement inMicrosoft as a software developer, where she worked for two years.
She further added that she became a part of Swiggy at the time when the company was still in its first year. Ms. Dhingra joined the company as a back-end developer. The difference that she found in well-established organizations and start-ups was that in start-up one doesn’t have to do only one job but anything and everything that the company asks for.
She was not just a developer but an engineer as well. Then Swiggy was making a Data Science team and that is when she shifted her domains and went into Data Science and there she worked for three years.
Ms. Dhingra lastly added that currently, she is working on a startup named Millow, which is situated in Bangalore. Manisha is trying to hire interns and freshers.
The reason behind it is Manisha’s passion to teach and mentor the freshers so that they can inculcate the right skills and practical knowledge that is required in the industry. She mentors them on small projects and tries to explain to them how to work on the projects, end to end.
What Are Things That Data Science Is Looking For In A College Pass Out?
We then asked Ms. Dhingra about the skill set that an optimum candidate should possess to work efficiently and effectively in the field of Data Science. Manisha answered that candidates should have very strong fundamentals of maths and along with that, their basics of statistics should also be very clear.
In terms of programming skills, basic knowledge is also fine, for example, Python. Candidates should know the basics of AI as it will help them in the industry. Moreover, the fundamentals of Data Science should be very clear as the algorithms change rapidly. If one’s basics will be clear then it will be easy for them to learn and understand new concepts.
We further asked her about what industry expects from students to which she replied, “I look if they have all the right skills and are they even a little bit interested in knowing how those skills are used.” She lastly added that the candidates should be curious about new things and behavior ownership should be there in them.
A Word About Higher Education From The Industry
While discussing the relevancy of what was taught to her during her higher education in the current industrial scenario Manisha mentioned that it is not directly relevant. All the things that are taught build a foundation in students’ minds. Not everything comes in use but it should also not be skipped as they clear many concepts that come in use in the future.
Also, all the basic knowledge helps in creating a mindset that helps in the future learning of more complex concepts and problems.
She also added, “There are two things that build the foundation of students’ minds: one is the course material, which according to me, is well sufficient and the other is how students understand it.”
She further gave her own example that when she was in college there was the subject of Statistics. She used to dislike it because she didn’t know it’s applicability; so she never really learned or understood it properly. But after three years when she finally went into the Data Science industry, she realized how important it is.
Ms. Dhingra lastly added that people who don’t know the applicability of the concepts don’t study it properly and end up forgetting it. If they’re taught the practicality of the concepts they will remember it and will be able to use it in industry.
Ms. Manisha Dhingra’s Say On Eduvoice And It’s Initiative.
Manish firmly believes that it is a very great initiative that somebody is raising their voice for student’s benefits. She adds that if she would have known about the important parts of her field it would have been much easier for her as well.
Now that Eduvoice is working in creating a bridge between the Industry and the Educational sector, she wishes us all the luck. After having the conversation with Ms. Manisha we realized one thing that one should never settle for what S/he doesn’t want
Whenever we are working in a company or business, there comes a time when you are facing issues and you need solutions for that. Some problems need proper data mining and analysis. You need to dig in data to find the optimum solution.
That’s where Data Science comes into play. A person that can help you in this is a data scientist.
Data science deals with designing and developing solutions for a particular problem in a particular business.
“The goal is to turn data into information, and information into insight.”- Carly Fiorina (ex CEO of Hewlett Packard)
Data Science is a field that is in demand these days. In a report of 2019, data science is one of the most promising jobs in the USA. Almost every company across the world needs a data scientist. So, if you are looking forward to taking up data science as a career, there is a lot of scopes.
Understanding The Needs & Bridging The Gap
Like the other sciences, data science is also a practical subject. It involves analyzing the data and converting it into meaningful information. So, for those students who are interested in this field, Eduvoice took an initiative and reached with some corporate leaders of the field. We want to make the students as well as the universities more clear about what the industry is actually looking for.
Let’s Get To Know Mr. Badri Raghavan!!
This time we had a golden chance to have a very thoughtful conversation with a prestigious personality, Mr. Badri Raghavan, former President and Chief Data Scientist of OLA, USA, and today he is the founder of data science-oriented company in Boston. He has a total experience of 14 years in which he worked with a number of companies.
We started our conversation with Mr. Badri by asking him about his journey. Mr. Badri told us that after his studies at St. Stephen’s College and IIT Delhi, he completed his M.S. at Carnegie Mellon University and Ph. D. in Theoretic Physics at Northeastern University in Boston, the USA in the mid-1990s.
Due to his amazing education profile, he was able to join a pioneering company where he solved various industrial problems and worked on a variety of machines and artificial intelligence.
Since, Mr. Badri had such a good amount of experience, we asked him about the relevance of his higher education to the work he was doing presently.
Mr. Badri replied that “While a portion of my education as a physicist may not have had direct relevance, I do believe that the general skills I learned about abstraction and modeling the real world, formulating a problem in mathematical terms, a sound grasp of probability and statistics, training in understanding research in algorithms, and ability to rapidly prototype solutions in code all helped me in my journey as a professional Data Scientist.”
“Of course, I had to supplement my formal education by various means such as online and in-person courses, as well as attending conferences, meetups, etc. “
The Gap Between The Education Sector And The Industry
We moved our conversation further and asked Mr. Badri what he thought about the education system and is it preparing the students for the industrial experience or not.
Mr. Badri replied that the rigid and outdated curriculum does not address many of the most exciting modern developments (such as AI), emphasis on rote learning and exams, lack of interaction with industry, lack of demonstrating to students how what they are learning can lead towards gainful employment in their field of interest, lack of emphasis on hands-on learning and collaborative learning, inability to fully incorporate modern pedagogical methods including videos and group learning, all contribute to an increasingly irrelevant education establishment today.
What Skills Is The Data Science Industry Looking For In The Aspiring Candidates?
Further, we asked him about the skills and qualities they were looking for when it comes to hiring someone in their field. We were specifically asking him about hiring a fresher who has just graduated from college. We also asked him about how the tiers affected the hiring of the candidates.
To which Mr. Badri replied that a fresher from Tier 1 college (IITs, NITs, Delhi University, etc.) with a degree in Computer Science or Physics/Mathematics/Statistics with coursework and project experience in programming (preferably in Python), exposure to data extraction and manipulation (so-called ETL), understanding of fundamental prediction and other Machine Learning algorithms would be ideally placed to be hired as entry-level Data Scientists. Pay band varies widely but are among the highest for any discipline.
Whereas, for a Tier 2 graduates (Manipal, Bombay/ Pune/Calcutta/Anna University, VJTI, IIIT, etc.) it would be best to supplement formal education with a variety of online MOOCs in the areas of Data Science outlined previously. Pay bands are of course lower for entry-level Tier 2 graduates, but they “catch up” after a few years in the industry with Tier 1 graduates.
A fresher from tier 3 college without “proving” to top employers that she has mastered the necessary skills of a Data Scientist, it will be difficult for a Tier 3 graduate to land a job with a top employer as a Data Scientist. However, with supplementary education, including a Masters’s or higher degree, they should be able to achieve similar employment options as Tier 2 graduates.
Then we asked him that if the candidate possesses the mentioned skills, will a good company be hiring them. To which Mr. Badri replied that there is a huge demand for Data Science skills in the industry. Therefore a well-qualified student with the necessary skills will have little difficulty in securing and interesting, well-paying position in the industry.
Mr. Badri’s Thoughts On Eduvoice
Mr. Raghavan appreciates and praises the efforts of Eduvoice and believes that it a really great initiative that will help college students a lot. It is filling an important need for the education sector.
Having a conversation with someone who has so much experience and possesses many skills was overwhelming for us. Mr. Badri is an inspiring and hardworking personality who reached where he is today, by working in every way possible. We learned from him that we should take up every opportunity coming our way. One of them will definitely take us through.
Eduvoice keeps on making small efforts to enhance the higher education system in India and with the help of such great personalities, one day this surely will be achieved.
We are currently living in the world full of data, as this is an era of Artificial Intelligence where facts and figures are everywhere. Earlier we had statisticians who were appointed by the companies so that they could analyse the statistics and help them in making the most profitable decisions for company.
This phenomenon gave birth to the sector of “Data Science”. In which data scientists use different techniques like cloud computing and Anomaly Detection to compute the figures.
Data Science is needed in both the sector nowadays be it for government sector or private sector. Both of them need data scientists who can scientifically and systematically configure the numbers and then can extract the best out of it. Companies use this method so that they can provide what their consumers are demanding for, in the best way possible.
Also the data scientists tend to find even the hidden insights from the facts. They bring out even the tiniest detail which further helps in making right decisions.
Eduvoice – Understanding The Needs And Bridging The Gap
Looking at the scope of Data Science, it is really necessary to ensure that students know more about this field and to how to get into this. Also, they should be aware of all the skills and knowledge that they would need to possess in order to get the best job out there in Data Science .
For this, we at Eduvoice are working to know about what is lacking in the higher education sector that is required by industry. For the same, we talk to corporate leaders who are from different sectors and ask them about what is their take on this and what according to them are the actual requirements of their industry.
The main motto for the same is to enhance the education system of the country so that it can produce more such corporate leaders.
Let’s Get To Know Mr. Harsh Jain
This time we got the opportunity to have a fruitful conversation with Mr. Harsh Jain who is currently working in PwC India in the domain of Data Science.
When asked about how he began his journey, Mr. Jain told us that he did his graduation in B.Tech but that course was not enough for him to get his desired job, so to enhance his skills and to get deeper knowledge he did an online course of python language. Later when he got to know that Data Science has high scope he did an online course of the same.
After 6 months of his hard work, he got a job offer from a Mumbai based company but he said no to it as they did not offer him a role in Data Science but after that, he finally got his expected job role in PwC India.
What Are The Things That Data Science Sector Is Looking In A College Pass Out?
We also asked Mr. Jain about what are the skills that companies are looking for in any fresher, to this he said that even big companies like Google or Facebook don’t see your degree or if you have completed your college or not. All they lookout is if you have the right set of skills for the job.
“If I have to mention a few skills required for data scientist’s job , s/he should be a good in the stream of mathematics, should know his way around the sector of statistics. S/He should also possess the basic skills of every technology and should know coding languages like C++, Java etc.”
The candidate should also possess good communication skills as well as storytelling skills. They should have an analytical approach towards solving any technical or non-technical problems.
He summarised by stating that if the candidate has acquired all the above-mentioned skills completely than even with no experience in the industrial sector they’ll definitely fetch a good job in the domain of Data Science.
A Word About Higher Education Sector From The Industry.
Eduvoice also asked Mr. Harsh about what he feels about the current education system of the country and to this he answered, “it needs to be updated as soon as possible as colleges are teaching so much extra to the students. If I have to say about my self even I got to know about the Data Science field in my 4th year which was kind of a disadvantage for me. If I had known about it earlier, I could have prepared for it much more sooner.”
According to Harsh, what colleges teach us is only 20 percent relevant in the industrial sector. If the colleges can just cut out the extra part and let students focus on a specific field, they can actually bring the best out of them.
Mr. Harsh emphasised that theoretical knowledge is important as it helps us to understand the concept but the practical application of it is what makes it effective and concrete.
Mr.Harsh’s say on Eduvoice and it’s initiative.
Mr. Harsh strongly believes that the gap between the Higher Education Sector and the Industrial Sector should be bridged as soon as possible . He appreciates the fact that Eduvoice is working for the same. He also states that this initiative will help in taking our higher education system to another level.
Hard work is key to the success is the only thought that comes in our mind after having such a wonderful conversation with Mr. Harsh. He is such an inspiration for people as he has learned all the things on his own which is really difficult and also has got the best results out of them.
Credits:
Moderated by: Jayesh Pawar Arranged by Aastha Samarwal
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