Gyansetu Team 
It is common to find both data science and data analyst courses being marketed interchangeably in Gurgaon. However, the two courses differ. While one will teach you how to construct the model, the other will teach you how to interpret the dashboards constructed by someone else. This confusion is what leads people to be six months into their course and have obtained one certificate without acquiring the qualifications for their dream job.
So before you go to compare the institutes it is very important that you know what you want: a data science course which should cover statistics, machine learning and python at a level where you can build and evaluate a model not just by visualizing one with Power BI. Here is what is actually offered in Gurgaon based on the course pages not just marketing headlines.
The quick answer
Gurgaon institutions generally have a 6-month curriculum comprising of Python, ML, and SQL, where the differentiation is on the basis of their placements and batch pattern, along with the depth of their machine learning course.
What actually matters before you enroll
Does the curriculum cover just using ML or deep understanding?
Ans. Most of the courses teach you how to do .fit() on your scikit-learn models without even touching upon how it works. It starts showing right in the interviews.
Is there a machine learning aspect here, or is it simply a data analyst program dressed up as data science?
Ans. Look up how the program covers regression, classification, clustering, and model validation, not “Python for data analysis” in general.
How is the placement program actually structured?
Before getting enrolled one thing to keep in mind is how the placement program actually structured
What’s the batch size, and who’s teaching?
No institute puts this on homepage so it’s better to ask them directly about it.
The institutes, one by one
Gyansetu
Gyansetu’s Data Science program consists of a six-month course with lifetime access to the materials post-completion, including Advanced Excel, SQL, Power BI, Python, Statistics, and Machine Learning in one flow – both classroom and live online versions are offered, with new batches starting every month. The program claims to be a Job Guarantee Program; thus, the placement support isn’t tied to any period following the completion of the course.
One thing to notice, which makes it unique, is that the statistics and machine learning courses aren’t offered as a combined week but as two modules. This is important if one actually wants to be a data scientist rather than just a skilled Excel user with a Python certification.
Good For: those who need deep knowledge of machine learning
Croma Campus
The syllabus at the Croma Campus is one of the most ambitious technically, apart from Python, R, Tableau and Power BI, Big Data technology like Hadoop and Spark is also mentioned. It might play an important role in case you are applying for big data positions, where you will have to work with big pipelines.
Good for: those who want to work in the field of big data in particular.
Henry Harvin
Henry Harvin takes advantage of its partnership with E&ICT Academy, IIT Guwahati, to give you access to their programs that offer internship guarantees. The fact that Henry Harvin partners with a college associated with IIT is definitely a sign of credibility for your resume, but you need to know more about the internship guarantees offered by them, as the word “guarantee” means many different things.
Good for: students who need an academic institution-certified course along with the training.
ExcelR
ExcelR’s data science course is coupled with their Placement Incubation Program – a subject matter expert assists learners with resume building, mock interviews, and preparation for the real thing when it comes to data science interviews until the point of placement. This is a more personalized approach compared to the majority of the “100% placement assistance” promises that you see in other courses on this list.
Good for: students who seek personalized guidance through the job search process, not just some generic placement cell.
Ducat
The data science course at Ducat is held at the Gurgaon center of Ducat and consists of courses such as Python, R, ML, and AI, in addition to real-time projects, with the support of 320+ recruitment partners of Ducat. The total cost structure for the courses offered at Ducat ranges from around ₹10,000 to ₹65,000 for all of its courses, but that of the data science course at Ducat is unknown.
Good for: learners who want a physical Gurgaon center with a broad hiring-partner network.
Uncodemy
Uncodemy provides both offline and online classes with an assessment-based scholarship. Get a minimum of 70% in their entrance test and earn 20% discount. This is a unique and distinctive feature; rarely do educational institutions link their tuition fees to a skill test. Lifetime access to course materials is included without any additional fees, according to their website.
Good for: students who would like to test themselves into a cheaper category and prefer offline classroom style learning.
School of Core AI
And this one is very distinctive indeed. It is completely online without any classroom attendance, but what makes it special is its coverage of engineering applications, which extends well beyond Python and SQL to FastAPI, Django, NoSQL and vector databases. That’s quite relevant if you plan to land on a job that includes the application of your data science skills. Placement support is specifically defined as 1:1 – resume, interview preparation and job referrals.
Good for: those who are keen on the engineering side of data science (application, not modeling) and are fine with online classes.
FITA Academy
Several classroom divisions, with an additional online division as well, along with relatively basic information regarding course content compared to other options here. No clear public information as to how deep the curriculum is, or placement process, so it’s difficult to determine quality without a phone call.
Good for: students looking for a classroom program in a specific Gurgaon location.
Data science vs. data analyst
If you’re confused about which one to actually choose: You’ll be stepping into the realm of reporting and business intelligence if you do a data analyst program where Excel, SQL, dashboards, and even some Python are taught. If you do a data science program, then it’s all about adding stats and machine learning to get a job involving predictive modeling.
So which one should you pick?
Seriously, three questions determine the right choice: to what degree do you really want machine learning to go, do you want a classroom experience or can you manage without, and how well does the structure of the placement program itself, not its percentages, withstand your scrutiny.
In terms of being a full six-month program with a heavy focus on ML along with an open-ended placement offer, the structure offered by Gyansetu is by far the best one of all.
Whatever program you select, six months won’t be given to you again. Select the one whose placement process you’d be willing to pay for yourself.
Frequently asked questions
Q1. Is it worth taking a data science course without prior coding knowledge?
Ans. Most of the courses listed here are built to ramp up from zero. There are issues in statistics for beginners so one should ask institutes how much time the course spends on statistical foundations before making any assumptions.
Q2. How is a data science course different from a data analyst course?
Ans. The work of a data analyst consists of cleaning, visualizing, and reporting on existing data. Data science implies an additional step — creating a model that can predict something.
Q3. Do these institutes actually place you, or just help with your resume?
Ans. This differs from institutes to institutes so the best way to know more about this is to ask the institute before enrolling in the course.
