Top 10 Advantages of a Data Science Course
As per the latest analyst’s business predictions, the most booming industry Data Science is having the potent of millions of job openings by the year 2020. But what if you want to learn data science without paying heavy cost for a degree? What is the best way to prepare for this upcoming wave of opportunity and maximize your chances for a 100K job? Well, many challenges stand in front of you in such a case. Not only is the market saturated with an abundance of existing fresh talent, but most of the training you receive in college has no relationship to the actual type of work you get on the job. With so many engineering graduates passing out every year from so many established institutions such as the IITs, how can you hope to realistically compete? Well, there is a possibility you can choose if you wish to stand out from the rest of the competition – high-quality data science programs or courses offered by the Mages institute as nothing can beat enrolling in a planned, accredited program that provides instruction from industry professionals, pro-active training on projects based on real-life, and industrial projects, which awards with a professional certification after the completion of course. We have listed here the top ten advantages of choosing such a course:
Top Ten Advantages of Data Science Certification
1. Stick to Essentials, Cut the Fluff.
Now if you are a professional data scientist, no one expects you to derive any AI algorithms from first principles. Even don’t you need to crack extensively into the inconsequential history behind each algorithm, nor learn Singular Value Decomposition or Gaussian Elimination on a real matrix without a computer for your assistance. There is so much material that gets covered by an academic degree that is never used on the job! But yes! you should have an instinctive idea related to the algorithms unless you’re going in for research based on machine learning. Jacobians or Hessians, says, there’s no more need of the depth knowledge. Data scientists who are professional work in very different domains as don’t you need to cover everything mentioned in class, either you will lose the race, so, just focus on learning of bare essentials thoroughly. You always have Google and StackOverflow with you for assistance as long as you’re not writing an exam!
2. Learning from Instructors who are experienced!
Now it is important to know that from whom you should be getting the training? Is it from the Ph.D. academician who’ve never worked on a real project but has published extensively, or from the instructors who have the experience based on the real-life project? You are fortunate if you have an instructor who has that invaluable component called industry experience because the teachers and instructors who are in colleges and universities belong to the former category. The industry experienced are rare and difficult to find, and you are lucky even extraordinarily as well if you are studying under them. They can teach you with context to experience in the job of real-life, and that is exactly what learners need the most.
3. Working with the Technology in trend Stacks.
Now, who would be better able to land a job for you, the teachers who teach what they studied ten years ago, or professionals who work with the latest tools available in the industry? Undoubtedly the one with industry experience will be extremely helpful for you to choose what technologies you should learn and master. So, if possible try to stick with instructors who have work experience.
4. Individual Attention.
In a college with thousands of students, each student can’t get individual attention. However, in data science programs offered by MAGES INSTITUTE, every student will receive individual attention tailored to their needs, and this is what exactly what you need. All students are different and have their understanding of the projects. This customized attention is available when batch sizes are less than 30 which is one of the greatest advantages for the students.
5. GitHub guidance for Project Portfolio.
Every lecturer will advise you to develop a GitHub project portfolio, but they cannot provide special attention to your profile genuinely. The reason behind this is they have many students and requirements upon their time to be able to spend time with individual project portfolios. But, data science programs offered by us are very different and the instructors mentor you individually in designing your project portfolios. Industry professionals who are experienced can even help you to identify ‘niches’ among your field in which you can shine and shape out a special brand for your project specialties so that you can distinguish yourself and can stand out from the rest of your competition.
6. Getting Mentored Even After Getting Placed in a Company and Working by Yourself.
Now if you are a professional data scientist, no one expects you to derive any AI algorithms from first principles. Even don’t you need to crack extensively into the inconsequential history behind each algorithm, nor learn Singular Value Decomposition or Gaussian Elimination on a real matrix without a computer for your assistance. There is so much material that gets covered by an academic degree that is never used on the job! But yes! you should have an instinctive idea related to the algorithms unless you’re going in for research based on machine learning. Jacobians or Hessians, says, there’s no more need of the depth knowledge. Data scientists who are professional work in very different domains as don’t you need to cover everything mentioned in class, either you will lose the race, so, just focus on learning of bare essentials thoroughly. You always have Google and StackOverflow with you for assistance as long as you’re not writing an exam!
2. Learning from Instructors who are experienced!
Now it is important to know that from whom you should be getting the training? Is it from the Ph.D. academician who’ve never worked on a real project but has published extensively, or from the instructors who have the experience based on the real-life project? You are fortunate if you have an instructor who has that invaluable component called industry experience because the teachers and instructors who are in colleges and universities belong to the former category. The industry experienced are rare and difficult to find, and you are lucky even extraordinarily as well if you are studying under them. They can teach you with context to experience in the job of real-life, and that is exactly what learners need the most.
3. Working with the Technology in trend Stacks.
Now, who would be better able to land a job for you, the teachers who teach what they studied ten years ago, or professionals who work with the latest tools available in the industry? Undoubtedly the one with industry experience will be extremely helpful for you to choose what technologies you should learn and master. So, if possible try to stick with instructors who have work experience.
4. Individual Attention.
In a college with thousands of students, each student can’t get individual attention. However, in data science programs offered by MAGES INSTITUTE, every student will receive individual attention tailored to their needs, and this is what exactly what you need. All students are different and have their understanding of the projects. This customized attention is available when batch sizes are less than 30 which is one of the greatest advantages for the students.
5. GitHub guidance for Project Portfolio.
Every lecturer will advise you to develop a GitHub project portfolio, but they cannot provide special attention to your profile genuinely. The reason behind this is they have many students and requirements upon their time to be able to spend time with individual project portfolios. But, data science programs offered by us are very different and the instructors mentor you individually in designing your project portfolios. Industry professionals who are experienced can even help you to identify ‘niches’ among your field in which you can shine and shape out a special brand for your project specialties so that you can distinguish yourself and can stand out from the rest of your competition.
6. Getting Mentored Even After Getting Placed in a Company and Working by Yourself.
Trust
me, college professor will never be able to help you once after you get
placed because within the industry your domains will be so different.
However, it's different from industry professionals who become
instructors, as you can go to them or contact them for guidance even
after placement.
7. Placement Assistance.
People who have worked will understand the referrals in the company during the placement process very well. Having someone already existing in the company you apply to can make a difference between a successful and unsuccessful recruitment process. Every industry professional have contacts in numerous companies, which puts them in a position to aid you at the time of placement opportunities.
8. Learn Critical but Non-Technical Job Skills, such as Networking, Communication, and Teamwork
While it is very important to know the basics, as to why brilliant students do badly in the industry after they get a job is just because of the lack of soft skills like communication and teamwork. Bare skills studied in class is much more than to join in the job in the industry. You need to communicate effectively and to work well in a team, as it can be guided by industry professionals. Professionals will know who to guide about this aspect of your expertise since it is a case of being in that position and having learned the necessary skills in the industry through their job experiences and work capacities.
9. Reduced Cost Requirements
It is one thing that enables you to sponsor your Ph.D. doctoral fees. It is quite another thing to learn the very same skills for less than 1% of the cost of a Ph.D. degree. It is not only less demanding in terms of finance, but also you don’t have to worry about how to pay off massive student loans through the work of industry and fat paychecks, over and over again at the cost of compromising your health or your family needs. Why take an Rs. 75 lakh student loan, when you can get the same outcome from a course offered by MAGES INSTITUTE which is less than 0.5% of the price? The carryout will still be the same! In most cases, you will even receive better training through the program of data science than an academic qualification as the instructors of your training programs are holding the experience in a job.
10. Highly Reduced Time Requirements
In completion of a Ph.D. degree, it will take around an average period of 5 years. A data science program offered by the MAGES INSTITUTE gets you land for the job in a few months only. The decision depends upon you completely that which is better for you? If you already well-experienced in a job with having a broad knowledge of any other domain, and you are more than 23-25 years old, and still pursuing a full Ph.D. program then it could put you on the wrong side of 30 with almost no job experience. Please go for the data science program, since the time spent working in your 20s is critical for most companies who are hiring today since they consider you to be a good ‘çultural fit’ for the company environment, especially when you have less than 3-4 years’ experience.
7. Placement Assistance.
People who have worked will understand the referrals in the company during the placement process very well. Having someone already existing in the company you apply to can make a difference between a successful and unsuccessful recruitment process. Every industry professional have contacts in numerous companies, which puts them in a position to aid you at the time of placement opportunities.
8. Learn Critical but Non-Technical Job Skills, such as Networking, Communication, and Teamwork
While it is very important to know the basics, as to why brilliant students do badly in the industry after they get a job is just because of the lack of soft skills like communication and teamwork. Bare skills studied in class is much more than to join in the job in the industry. You need to communicate effectively and to work well in a team, as it can be guided by industry professionals. Professionals will know who to guide about this aspect of your expertise since it is a case of being in that position and having learned the necessary skills in the industry through their job experiences and work capacities.
9. Reduced Cost Requirements
It is one thing that enables you to sponsor your Ph.D. doctoral fees. It is quite another thing to learn the very same skills for less than 1% of the cost of a Ph.D. degree. It is not only less demanding in terms of finance, but also you don’t have to worry about how to pay off massive student loans through the work of industry and fat paychecks, over and over again at the cost of compromising your health or your family needs. Why take an Rs. 75 lakh student loan, when you can get the same outcome from a course offered by MAGES INSTITUTE which is less than 0.5% of the price? The carryout will still be the same! In most cases, you will even receive better training through the program of data science than an academic qualification as the instructors of your training programs are holding the experience in a job.
10. Highly Reduced Time Requirements
In completion of a Ph.D. degree, it will take around an average period of 5 years. A data science program offered by the MAGES INSTITUTE gets you land for the job in a few months only. The decision depends upon you completely that which is better for you? If you already well-experienced in a job with having a broad knowledge of any other domain, and you are more than 23-25 years old, and still pursuing a full Ph.D. program then it could put you on the wrong side of 30 with almost no job experience. Please go for the data science program, since the time spent working in your 20s is critical for most companies who are hiring today since they consider you to be a good ‘çultural fit’ for the company environment, especially when you have less than 3-4 years’ experience.
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