
Course Comparison> Great Learning vs Scaler> Year – 2024
Data Science Course Comparison
In the vast field of skill enhancement courses such as data science, the large number of options often confuses students and learners. As someone here to guide you through this maze of options, We will assist you in giving clarity and navigating to the ideal course for your needs.
Let’s know about the data science course comparison of Intellipaat “IIT Roorkee Data Science Course” and UpGrad “ Master of Science in Data Science.” When comparing data science courses, typically, there are around 4-5 factors to consider.
- Course Content
- Faculty and Support
- Reputation and Placements
Founders
Founders and Promoters with their goodwill collectively give any organization a boost. Therefore, this goodwill ensures credibility among the learners when it comes to choosing the course.
Founders

Mohan Lakhamraju

Anshuman Singh


Course Duration
The data science course duration is always considered from the learner’s perspective. In this fast-paced world, everyone wants to achieve their best by doing smart work rather than going for the longer task. We have also taken the Great Learning data science course duration and Scaler data science course duration that could benefit you to achieve the best. The Great Learning data science course vs Scaler data science course give you an idea about your self-paced learning ability. This analysis will help you to design the learning road map accordingly.
Course Duration

12 Months

15 Months
Mode of Training
Great Learning data science course’s mode of learning vs Scaler data science course’s mode of learning gives the idea about the concept that is being addressed for the learners, either beginners or the experts. Hands-on experience during the data science program helps to understand the concept better. Also, the self-paced learning approach gives benefits to the learners according to convenience.
In recent years, learners’ dropout rates from online data science courses have reached 80%. That’s why we have emphasized more on a blended mode of learning that includes live online/classroom classes, pre-recorded sessions, assignments, and industrial training.
Mode of Training

Online/Live Sessions

Online/Live Sessions
Course Fee
The data science course’s fee depends on the popularity of the course and when it comes to Great Learning vs Scaler – Data Science Course Comparison, then Great Learning data science course and Scaler data science course both have EMI options available for the convenience of the learner. Because the learner needs to get a profitable return when they are investing in something to gain professional skills.
We at Analytics Jobs, prioritize courses with a higher return on investment, especially for working professionals who may need to balance their professional and family commitments. The data science course should be well-defined and provide a guaranteed ROI on their hard work and money.
Data Science Course Fee

₹ 2,95,000 + GST(No Cost EMI Available)

₹369,000 (No Cost Available)
Course Curriculum
The data science course curriculum is a critical component of the program, ensuring comprehensiveness and practicality. It should go over both basic ideas and cutting-edge methods in data science course. A course’s suitability for a certain career can be assessed based on its practicality, depth of content, industry relevance, and equipment needed. Proficiency in intricate issues about a certain subject can refine the abilities required for a position on a data science course. Before choosing a Great Learning data science course or Scaler data science course, ask your counselor about the resources offered, the number of live sessions, the number of hours of pre-recorded content, the number of industry projects, and the capstone projects.
Data Science Course Curriculum

- Data Science and Business Analytics Foundations
- Data Science Techniques
- Domain exposure
- Visualization and insights

- Beginner Module
- Data Analysis and Visualization
- Foundations of Machine Learning and Deep Learning
- Specializations Machine Learning Ops
- Advanced-Data Structures and Algorithms
Query Resolution
The professional who is taking any particular project and looking to resolve their query when they get stuck in the course, hence it is crucial for them to have a query system. Hence, the only solution could be the on-time query resolution with the emphasis on mentorship, even for the overseas candidates who are taking the course. One should be aware of the technicality of their institution. For ed-tech learners, query resolution is essential since it has a big impact on their comprehension and memory of the content. Precise responses remove uncertainties, strengthen knowledge, avoid misunderstandings, improve involvement, guarantee ongoing advancement, increase self-assurance, and improve academic achievement. Effective query resolution also fosters a positive learning atmosphere by promoting involvement and asking for assistance when necessary.
Query Resolution

Weekly Online Expert Mentorship

1:1 Experts Mentorship
Student-Faculty Ratio
This is an essential thing one should always focus on. The institute is bound to provide you with the best learning experience when you are ready to spend some handsome money on a course. Many of the institutes falsely claim to be the best when they provide you with courses. Be careful of the misleading statements made by these organizations. There have been some batches that have more than 500 students in them.
Scaler Academy and Great Learning are both committed to maintaining a positive student-teacher ratio to ensure individualized attention and productive learning. Scaler Academy offers small class sizes, specialized support from knowledgeable professors, leading to improved academic results, increased comprehension, and active participation.
Great Learning’s approach promotes a collaborative and encouraging learning atmosphere, allowing for more personalized instruction, quick question answers, and tighter mentorship. This results in improved learning outcomes and an interesting learning environment. When choosing a course that compares Great Learning with Scaler, make sure to question your counselor about the following in detail:
- Total number of learners in your batch.
- Student-faculty ratio
- Can you switch on your mic during a live class or session?
Student Faculty Ratio

Great Learning maintains a favorable student-faculty ratio, ensuring personalized attention, prompt query resolution, and closer mentorship, enhancing learning outcomes and engaging educational experiences.

Scaler Academy, a leading tech education institution, offers personalized instruction and small class sizes, fostering deeper understanding and engagement, resulting in better academic outcomes.
Industry Projects
Pay especially close attention to how many industry projects are included in the course material. A practical application of the theoretical knowledge you have learned in class is called an industry project. Students apply their academic understanding to actual business problems in immersive, real-world corporate situations. An exclusive data set for a specific commercial or industrial problem is crucial in data science. Ensure the course gives you access to substantial real-world industry data sets for use in your industrial projects.
These industry projects give you experience in data science. You become the expert on your selective topic. You gain practical knowledge about the same. Only gaining theoretical knowledge will not help you with technically advanced courses like data science course, which require prior working experience as well.
Industry Projects

- Optimization of Equity Portfolio
- Analytics for a Retail Fashion Brand
- Vaccine Prediction
- Taxi fare prediction
- Climate change analysis
- Product Pricing
- Product value prediction

- Travel Aggregator Analysis
- Heart Disease Prediction
- Human Resource Management System
- Core Infrastructure Company Data Visualization
Capstone Projects
Either Great Learning capstone project or Scaler capstone project is a crucial component of a data science course, allowing students to apply their knowledge and skills to real-world problems. Organizations sponsor these projects, which can be commercial, non-profit, government, or academic. The project aims to develop web-based applications to solve specific strategic and operational problems.
A typical capstone project team should have up to five members and a faculty member. Freshers in the data science domain may face job interviews based on the capstone project. The project involves exploring, analyzing, and processing data, applying Machine Learning techniques to build predictive models, evaluating and tuning the model’s performance, and communicating insights to stakeholders. The capstone project demonstrates learners’ ability to work with data to extract business value and solve complex problems in a structured manner.
Internship
Working on different projects is all okay but you need to have an understanding of the position that you are going to hold shortly. This internship gives you the environment to work on a fast-paced technical platform, and you develop the management skills that are a required qualification for you to become a future industry expert.
This short-term working experience makes you ready to get exposure to the world of data science. The tools that have been used during data science can only be accessed through working on real-life work projects. This is why Analytics Jobs has curated the best-offered course that could fulfill this requirement.
Analytics Jobs Review
Analytics Jobs India’s first question-and-answer review platform will help you to understand the all required information about the Great Learning data science course or Scaler data science course, fee, placement, and course assistance from industry experts as well as the alumni. Go through the reviews available and engage with the large community which would help to choose best.
You will find genuine and up-to-date reviews, ratings, and feedback only at Analytics jobs.
Analytics Jobs Reviews
This data science course comparison outlines key differences between Great Learning and Scaler data science course. Here are the comparison summary:-
Comparison Summary (Imarticus Learning VS Intellipaat)
Founders

Mohan Lakhamraju

Anshuman Singh


Course Duration

12 Months

15 Months
Mode of Training

Online/Live Sessions

Online/Live Sessions
Data Science Course Fee

₹ 2,95,000 + GST(No Cost EMI Available)

₹369,000 (No Cost Available)
Data Science Course Curriculum

- Data Science and Business Analytics Foundations
- Data Science Techniques
- Domain exposure
- Visualization and insights

- Beginner Module
- Data Analysis and Visualization
- Foundations of Machine Learning and Deep Learning
- Specializations Machine Learning Ops
- Advanced-Data Structures and Algorithms
Query Resolution

Weekly Online Expert Mentorship

1:1 Experts Mentorship
Student Faculty Ratio

Great Learning maintains a favorable student-faculty ratio, ensuring personalized attention, prompt query resolution, and closer mentorship, enhancing learning outcomes and engaging educational experiences.

Scaler Academy, a leading tech education institution, offers personalized instruction and small class sizes, fostering deeper understanding and engagement, resulting in better academic outcomes.
Industry Projects

- Optimization of Equity Portfolio
- Analytics for a Retail Fashion Brand
- Vaccine Prediction
- Taxi fare prediction
- Climate change analysis
- Product Pricing
- Product value prediction

- Travel Aggregator Analysis
- Heart Disease Prediction
- Human Resource Management System
- Core Infrastructure Company Data Visualization
Capstone Projects

Capstone Projects (Yes)

No Capstone Projects
Internship

No Internship

No Internship
Placements

Exclusive access to Great Learning job board

referrals, mock interviews, and career counseling
Analytics Jobs Reviews
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Data science is a multidisciplinary field that combines computer science and math. The objective of data science is to pull insightful and useful knowledge out of datasets to make smart business decisions. The average salary of a data scientist is $80,265.

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