Is the Scalar Data Science & Machine Learning program good?

Asked by Raveena Tomar over 2 years ago

Answers 4
Ajay Tewani

Ajay Tewani

Investment Analyst at IFC - World Bank Group | IIM Ahmedabad | CA | CFA Level III

Well, I have personally tried the Scalar data science & machine learning program. It’s definitely good, I have to say. With live classes, they have one-on-one mentorship, industry projects and help in finding jobs as well. Plus I have seen students' ratings for their data science programs, they are impressive. All in all, it is as good as it seems, but there are a lot of other things to know.


Data science is already one of the best courses given current times. If you don’t know, LinkedIn named data science the fastest-growing job in 2k17 and it has been almost the same for all these years. Scalar of nor, doing a data science course now is most relevant. Plus data science professionals earn crazy money. Just in the USA, you can expect a six-figure salary in your mid-career.


Scalar is a good source for online studies. In India, it is very popular. I have seen many students that ask about their data science course and how good they are. Be assured for an online course it is very good. Plus these kinds of courses don't cost much. You can do a six-month-long course of like 2-3 lakhs. These courses are efficient and help to land a job in data science.


However good it may be or sounds, I would not recommend it as a general option. See, the best jobs and careers in data science are located in prime locations. There are MNCs and many government bodies that have a high demand for data scientists. Leaving out all the best options just to maintain an easier and cheaper course is not something you should do. Scaler is a good doubt, but you have to target a full-time data science program.


There are hundreds of top-tier universities in the USA, UK, Canada etc. They have many courses in data science that are a big attraction for international students. Just from India, more than a million students go to universities abroad for their higher studies. You can target these ones based on your academics.


These full-time courses allow you to apply for bigger jobs. Plus, after graduation, you can stay back and work in the selected country where data science is popular. Not only will you earn more, but you can also work in more areas and locations. If you need help on how to start, let me know. Happy to help anytime.

 


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Neha Shrivastava

Neha Shrivastava

Student of MITS College

I'm currently enrolled in the Scalar Data Science & Machine Learning program, and it's been quite a journey.

The program is intense, with a high learning curve, especially if you're new to some of the concepts. But the sense of achievement you get after mastering these complex topics is unmatched. The course structure is well-organized, blending theoretical knowledge with practical skills.

One of the highlights for me has been the collaborative environment. Working on projects with associated from diverse backgrounds has not only enhanced my learning experience but also helped me build a global network.

 


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Neema Nigam

Neema Nigam

Sr. Consultant

The Scalar Data Science & Machine Learning one is great one to learn. Let's break it down:

What's Good About It:

Lots to Learn: They teach you everything from basic stuff to advanced machine learning.
Real Work: You get to do hands-on projects that bosses really like.
Smart Teachers: The teachers know their stuff because they've worked in the real world.
Things to Think About:

Is it a Fit?: If you're already good at math and programming, it might be easier for you.
Future Help: Check out what they offer for finding jobs and making friends in the industry.
So, if you're super into data science and machine learning, this program is a good choice. But be ready it's a bit intense and needs you to work hard. 

 


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Darak Sarita

Darak Sarita

Consultant-Mentr-Me

From a study abroad consultant’s standpoint, the effectiveness of any educational program, including Scalar’s Data Science & Machine Learning program, hinges on several key criteria. The depth and breadth of the curriculum, which should cover foundational topics like statistics and programming, as well as advanced topics such as artificial intelligence and machine learning algorithms, are fundamental for thorough learning.

The program's structure to foster hands-on learning through projects and internships is equally important, as it ensures students can apply theoretical knowledge practically. Additionally, the qualifications of faculty members and their industry connections can greatly enhance the learning experience and future job prospects for students.

It’s also essential to consider the program’s recognition in the industry and the success of its alumni network. These factors typically reflect the program's quality and how well it prepares students for the demands of the job market. Scalar seems to maintain a robust network and has garnered positive feedback regarding its comprehensive approach to the rapidly evolving field of data science and machine learning.


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