Introduction
Making an important career decision could be a little tricky. Especially in a market filled with thousands of institutes and courses, you must be up to date and make a well informed decision.
That’s why, today we are here with another blog where we review a course, discuss its features, fees, placement records, and, most importantly, reviews by existing students and alums so that you can make a better decision for your career. And the program that we will review today is Scaler’s Data Science and Machine Learning Program.
About Scaler
Before going through the Scaler Data Science review, let’s talk about Scaler history first. Scaler originated in the year 2019.
Founded by IIIT Hyderabad alums Anshuman Singh and Abhimanyu Saxena.
Before Scaler, Anshuman worked as a Technical Team Lead with Facebook in the USA office, where he helped build Facebook Messenger for chats and messages. Then he moved to London to establish Facebook’s first office outside the USA, which will work on automating the data consumption framework. He is a brilliant programmer and a two-time World Finalist of ACM ICPC. Before joining Scaler as a co-founder, Abhimanyu led a high-velocity team that designed NYC-based retail marketplace Fab.com entire front end. As a seasoned entrepreneur in his engineering days, Abhimanyu co-founded his first enterprise Daksh Home Automation System. He developed a cost-effective and green AI system to reduce electricity consumption by at least 15% per household.
The head offices of Scaler are in Bangalore and Pune in India. Scaler is an online revitalized upskilling platform for working tech professionals. Learners enrolled with them are taught, guided, and mentored by industry experts from leading tech organizations, including Google, Meta, Netflix, Microsoft, Amazon, Hotstar, Twitter, etc.
Within a year of starting, they have successfully upskilled 4000+ graduates by assisting them in landing their dream jobs in leading tech companies. Over 600+ organizations today trusted them with their tech talent recruitment. They have built a reputation for tech excellence with outcomes comparable to leading national and international educational institutions.
Now let’s talk about Scaler Data Science Review and its most highly regarded features.
Scaler has tie-ups with various companies. This makes an extra benefit for placement guarantee to the program. Anyway, let’s dig in to find more information on this program.
- The projects from top companies make you a real data scientist and machine learning engineer.
- 1:1 mentorship from experts.
- Network with alums and peers from top companies.
- Access job opportunities from 600+ partner employers.
- Attend a free class to understand teaching patterns.
- Resolve all your doubts during online classes
- Three levels of the program are Beginner, Intermediate, and Advanced.
- Up-to-date curriculum with Data Science and Machine learning field.
Apart from the above mentioned features, it offers 45+ tools, including Git, TensorFlow, PySpark, PyTorch, Kafka, etc. With:
- Job Placement Assistance
- real time industry project experience
- Interview preparation guidance
- Live class
Eligibility Criteria
You need not be from Coding background to enroll in this course. You can start from the Beginner module, which will cover the basics of coding.
Previous knowledge of Data Science or ML is also not important. They will cover all the relevant topics from the basics.
The only prerequisite is that you should have a basic understanding of 9th and 10th-grade school mathematics – only the basics, nothing advanced. Still, they will cover these topics in class, but some prior knowledge would be helpful.
The minimum qualification required is Graduation.
It’s time to get a picture of the Syllabus of the Program.
The syllabus covers Data Science and Machine Learning Program through a comprehensive course curriculum encompassing essential topics like statistics, data visualization, machine learning, SQL, R, and Python, with a Capstone project at the end.
There are three modes of the whole curriculum in the Data Science and Machine Learning Program. You can opt anyone according to your preference:
- Beginner (14 months)
- Intermediate (13 months)
- Advanced (11 months)
Under these modes, there are modules:
Module 1 | Beginner Programming |
Module 2 | Intermediate Programming |
Module 3 | Data Track- Common Core |
Module 4 | Data Science and Analytics |
Module 5 | Data Science and Machine Learning |
Module 6 | ML Ops and Data Engineering |
Module 7 | Advanced Programming (DSA) |
For the Intermediate level Module 1 is not applicable. And for the Advanced level Module 1 and Module 2 are not applicable.
The Skills that they cover are:
- Python Programming
- Probability Distribution
- Statistics, Algebra, Geometry, Calculus
- Linear Programming
- Unstructured data and Data Acquisition
- Data visualization with Tableau
- ML Ops
- Advanced-Data Structure and algorithms
- Data Distribution
Placement
Placement is where all focus is. After all, that’s what all of you look forward to, and with good reasons.
Students secured employment across 400+ unique tech companies.
Scaler, an upskilling platform by Interview Bit that enables students and working professionals to unlock their talent, has recorded an extremely good year of growth. Despite the pandemic crippling the economy and the job market, Scaler’s meticulously structured programs enabled over 1000 tech professionals to find many job opportunities across 400+ unique companies. 100+ Scaler alumni work at Amazon, and 5 have jobs with the much-coveted Google.
Admission Fee
Now let me tell you the fee for this program; Simplilearn’s admission fee for this Data Science program is ₹ 2,50,000 (incl. taxes).
Which honestly to me feels like a little too expensive compared to their own programs in the same domain. I guess the Job Guarantee pulled the fees a little high. But that being said, let’s look at the most important section, Reviews from Learners and Alumni.
Reviews
Let us analyze the reviews of Scaler Data Science review in different reviewing platform to understand it better.
Scaler Data Science review based on different professional platforms:
- Mouth Shut
- Trust Pilot
- Site Jabber
- Course Report
Scaler Data Science Review Mouth Shut
As we can see there is no Scaler Data Science review on MouthShut. So, it is difficult to understand the performance of Scaler in terms of their course, placement, faculties as per the audience of MouthShut.
Scaler Data Science Review Trust Pilot
After going through the Scaler Data Science review on Trust Pilot, it is clearly visible that scaler has not gained much audience in Trust Pilot as well. So, it is hard to analyze its performance on the basis of the reviews of Trust Pilot.
Scaler Data Science Review Site Jabber
Like MouthShut, Scaler Data Science review is missing on Site Jabber as well. We can not find a single review of Scaler on Site Jabber and that makes it quiet difficult to understand what students think of Scaler course, fees, Placement.
Scaler Data Science Review Course Report
The result is almost the same, Scaler Data Science review is still missing in the Course Report as well. As shown in the above picture, there is no review of Scaler and the course mentioned above is only 1.
Conclusion
To summarize this Scaler Data Science review, I would say that Scaler’s Data Science and Machine Learning Program looks pretty attractive. Its module-based curriculum for step-by-step learning is super fantastic. However, when it comes to the reviews on reviewing platforms, they have not gained the audience yet. All 4 reviewing platforms have almost no reviews.
Note: To know about more Data Science reviews of other institutes you can Check the Data Science, Artificial Intelligence, Analytics Course Reviews.
