JumpyJellybean
JumpyJellybean
31mo

Honest review on scaler data science course?

Share your tangible gains with scaler data science course

31mo ago
BubblyHamster
BubblyHamster
31mo

I used to work with scaler and confirm this is true. Founders have lost empathy towards learner. It's the next Allen lakhs of students and a few are getting placed... Those few would have done it without scaler as well

JumpyJellybean
JumpyJellybean

Scaler is literally shitt... Losing both time and money on their shitty trust and placement teams. 0 credibility in scaler for building tech communities which advocates transformational journey for 95% of its members, full on marketing gimmick to rake in money

JumpyJellybean
JumpyJellybean

My personal review

Do not join this DSML course for placements, coz its probably less than 5%.
No transformation journey with scaler data course

95% placements which they claim is a 2-3 yr old KPMG audit report when there was lots of hiring in software engineering.

Zero students of Data science in that report
How can u trust someone who is mis selling data to teach u data science. Honestly they manufactured audit report at peak of hiring

Srikanth Varma who is leading the course is not teaching in live course lectures.

Current teachers are hired with just 1yr of teaching experience. Good professionals but they seriously lack teaching skills.

And u wont find anything bad about them on LinkedIn coz they dont engage on bad posts in feat of it to spread and manipulate engagement by FREE sessions

Core thing they are selling is course with placements.
Its just a learning course sold for 3lakhs.
10000+ learners unplaced via DSML course

Industry projects of these 10000+ learners is same, how will even recruiter find something new

GoofyBanana
GoofyBanana

After finishing my BSc, I took a year off and was honestly confused about what to do next. I had no background in analytics or data science and was looking for a master’s option that didn’t require attending college full-time. That’s when I came across Scaler. I did my research, read reviews, watched videos, and tried to figure out if it was the right choice.

Looking back, I’m glad I joined. It wasn’t perfect, but it met my expectations. I was looking for structure, guidance, and placement support, and I got that.

It wasn’t easy, though. It required consistency, lots of practice, and facing multiple interview rejections. The interview prep material and AI mock interviews really helped me improve. I eventually received an offer from the company where I’m currently working, and the course played a big role in that.

One of my friends also got placed twice through the program, first as an intern and then in a full-time role. I’ve seen negative reviews online, but I can only speak for my own experience, which has been positive.

MagicalWaffle
MagicalWaffle

Coming from a Civil Engineering background at NIT Agartala, I had initially started preparing for UPSC after graduation. Unfortunately, I couldn’t clear it, and after months of trying to enter the corporate sector without success, I decided to explore opportunities in the IT field.

Taking a friend’s advice, I looked for courses that not only teach but also provide placement support. That’s when I discovered Scaler’s Data Science program. Joining this course turned out to be one of the best decisions I’ve made — within 8 months, I secured a role as a Data Analyst.

✨ What I truly appreciate about Scaler:

They start from the very basics, making it beginner-friendly even if you have no prior coding knowledge.

Live classes allow direct interaction with instructors, ensuring doubts are resolved effectively.

In Machine Learning, they don’t just stop at coding - they also teach the mathematics behind it, which deepens understanding.

With consistent learning, I was able to clear the HackerRank Advanced Certification, something I never thought I could achieve before joining.

💡 One suggestion I’d share is that Scaler could introduce weekend batches to better support working professionals.

Overall, I’m extremely satisfied with the program and grateful for how it helped me transition into the IT industry.

BouncyNoodle
BouncyNoodle
Student
7mo

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MagicalTaco
MagicalTaco
12d

I come from an infrastructure background and recently transitioned into the Data Science & Machine Learning space with a clear intent to build strong, industry-relevant capabilities. As part of this journey, I enrolled in Scaler’s DSML + Master’s program in collaboration with Woolf University.

The experience so far has been genuinely enriching. The curriculum is thoughtfully structured—starting from fundamentals and progressively moving into advanced concepts across Data Science, Machine Learning, and applied AI. What stands out is the strong emphasis on practical learning through real-world case studies, hands-on assignments, and industry-grade projects rather than just theoretical exposure.

The mentorship model is another key strength. Learning from experienced industry professionals brings a layer of clarity that goes beyond textbooks—they focus on how concepts are actually applied in real business scenarios. The peer community also adds value, creating a collaborative environment where discussions and problem-solving accelerate learning.

Additionally, the program instills discipline and consistency. It’s not a passive course—you are expected to engage, build, and think critically, which ultimately shapes you into a more confident and capable professional.

Overall, it has been a well-structured and forward-looking investment in my career transition. For anyone serious about moving into Data Science or upskilling in a meaningful, industry-aligned way, this program provides a strong foundation and the right ecosystem to grow.

SnoozyHamster
SnoozyHamster

DSML is a good program for anyone who is looking for structured learning in data science. They cover almost end-to-end topics required, starting from basics and going up to ML concepts, so you don’t feel lost about what to learn next.

The instructors are good and explain things clearly. Whenever I had questions, I was able to get answers either in class or through support, which helped in understanding better.

One thing I liked is that it kind of pushes you to stay consistent. With regular classes, assignments, and deadlines, you are forced to put in effort and not procrastinate too much.

Overall, it’s a good option if you are someone who needs guidance and a proper roadmap instead of figuring everything out on your own.

PrancingBanana
PrancingBanana

I recently joined the Scaler DSML (Data Science and Machine Learning) program and overall my experience has been quite positive so far. I decided to take this course because I wanted a structured way to learn data science instead of studying random topics from different sources. The program covers many important subjects such as Python, statistics, machine learning, and data analysis, which are essential for building a strong foundation in this field.

One thing I really like about the course is the way the concepts are explained. The instructors focus not only on theory but also on practical understanding. The classes include examples, assignments, and coding exercises that help in applying the concepts. This makes it easier to understand how machine learning models actually work in real-world scenarios.

Another good part of the program is the projects and case studies. Working on real datasets helps improve problem-solving skills and gives practical exposure to how data science is used in industries. It also helps in building a portfolio, which can be useful when applying for jobs in the future.Overall, I believe the Scaler DSML program is a good option for someone who wants to seriously learn data science and machine learning in a guided way. It requires dedication and effort, but it provides a solid learning experience and practical knowledge that can be valuable for a career in the data field

PrancingCoconut
PrancingCoconut

I completed the Data Science program at Scaler, and it has been a structured and practical learning experience for me. The curriculum focused not just on theory, but on hands-on implementation — including EDA, model building, real-world case studies, and problem-solving approaches used in the industry. The mentorship sessions and doubt-clearing support helped me strengthen my fundamentals. One of the biggest outcomes of this journey was receiving an offer from WPP Media through Scaler’s placement support. For anyone serious about building a career in data, consistency and practice matter the most — and having the right structure definitely helps. Happy to answer any genuine questions about my experience.

FloatingBagel
FloatingBagel

As someone who has had an experience with other data science course, I feel it is a great course. But it is upon us to use it to get the best value out of it. Yeah it is pricey indeed but the support, structure found in this course is not something I've seen elsewhere.

SnoozyDumpling
SnoozyDumpling
Student
2mo

I had a great learning experience with this DSML course. The best part of the program is the industry-oriented projects. They are designed around practical, real-world scenarios and give a clear idea of how these tools are actually used in real life. Another standout feature is the AI-based mock interviews. Being able to attempt interviews anytime is extremely helpful for preparation and building confidence. The learning dashboard is also very well designed, allowing you to easily track your progress throughout the course. Additionally, the resume-building feature is highly valuable and helps in structuring and presenting your profile effectively. Lastly, their customer support is fast, responsive, and reliable, which makes the overall learning journey smooth and stress-free.

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