Course Comparison> Great Learning Vs Upgrad > Year – 2024
Data Science Course Comparison
Navigating the maze of learning platforms can feel like solving a tough puzzle, where you have to balance course content, costs, query support, and the promise of placements.
To simplify your choice, we’ve compared two data science courses: “PG Program in Artificial Intelligence & Machine Learning by Great Learning” and “Post Graduate Programme in Data Science & AI by Upgrad.”
Let us focus on some important factors that will influence your decision making between the Great Learning data science course and Upgrad data science course.
Founders: Founders are the roots of the organization that defines the organization’s work. Their personalities and values help in shaping the organization’s culture. Founders inspire and motivate not only their employees but the customers or the students so that they can achieve the desired goals.
Founders
Mohan Lakhamraju, Hari Krishnan Nair and Arjun Nair
Ronnie Screwvala, Mayank Kumar, and Phalgun Kompalli
Course Duration: The course should be well-structured and designed by industry experts. The course duration depends upon the course curriculum. We have selected courses from Great Learning and Upgrad that can train a beginner to pursue their career in the given time frame through the course.
Course Duration
12 Months
12 Months
Mode of Training: The learning platform should be aware that the students have different preferences for modes of training. Classroom training, instructor-led online sessions, or self-paced learning videos, all these options can be preferred by the students at their convenience. Great Learning and Upgrad both offer online training, led by instructors. These sessions are also available in recorded mode.
Mode of Training
Online/Live
Online/Live
Program Fee: Students should be aware that the program fee should be considered according to the course duration, curriculum, mentorship, mode of training and placement support. All these factors will affect the program fee.
There should be EMI options available for the students who are not to pay the full fees in one go. It reduces the burden on students and their parents.
Data Science Course Fee
₹ 2,95,000 + GST
₹ 4,48,000
Course Curriculum: The curriculum is an essential component of any data science course or program, ensuring comprehensiveness and applicability. It should include both fundamental concepts and advanced methods from the data science domain.
Considerations for a well-rounded education include tools taught, live sessions, pre-recorded content, industry projects, and capstone projects. Students can better prepare for data science jobs by determining the course’s content quality and usefulness. So, be aware while enrolling in a data science course.
Course Curriculum
- Python Bootcamp for Non-Programmers
- Foundations (AI & ML)
- Machine Learning
- Artificial Intelligence (Neural Networks, Natural Language Processing and Deep Learning
- Data Toolkit
- Machine Learning
- Business Intelligence/ Data Analytics
- Deep Learning
- Data Engineering
- Natural Language Processing
- Business Analytics
Query Resolution: During the course, we come across various queries regarding the mentorship, fee, study materials, study portal, and many more. These queries should be properly solved by the organization. There should be a query ticket management system through which students can raise a query and then the organization can resolve it. A strong team or a dedicated system for query resolution is an essential aspect of an organization. Great Learning offers weekly sessions by experts for doubt clearing whereas Upgrad has 24/7 support for students.
Query Resolution
Weekly Online Expert Mentorship
Support available all days for 24 hours
Student-Faculty Ratio: Never forget to ask about the student-faculty ratio before enrolling in any course. Sometimes, ignoring this query will lead to studying in large groups where a single mentor is not able to concentrate on every student. Some students also feel uncomfortable while asking any doubt in a large group. So, it is better to research or enquire about the number of students in your batch. If you want to pursue the course in online mode, enquire if the student can use the mic during the session or not. Great Learning and Upgrad have small batch size to incorporate proper and individualized mentorship.
Student Faculty Ratio
Small Batches
Small Batches
Industry Projects: After the course completion, a student knows about everything theoretically. But to implement all these theories in the real and practical world, Industry projects are important. Always ensure that the learning platform is providing industry projects to train you for the corporate world.
Great Learning and Upgrad have a variety of practical assignments, projects, and case studies to assist students in implementing their theoretical knowledge in the real world.
Industry Projects
11 Projects and 40+ Case studies
- Hotel Booking Cancellation Prediction
- CredPay
- MovieLens
- Google Play Store
- COVID Detection
- Used Car Price Prediction
60+ Projects and 60+ Case Studies
- IMDb Movie Analysis
- Lead Scoring
- Uber Supply-Demand Gap
- Fraud Detection
- Social Media Listening Telecom Churn Interactive Market
- Retail Giant Sales
Capstone Projects: An organization sponsors a Capstone Project, aiming to solve specific problems within the organization and provide strategic and operational advice. Teams design web-based apps to address these issues. The project teaches students data collection and analysis for real-world problem-solving. A typical team consists of five participants and a faculty member.
The capstone projects serve as the end of the course. The organization should have at least 1 capstone project for the students.
Capstone Project
1 Capstone Project (AI & ML)
No Capstone Project
Internship: It is a great deal if the organization provides internship opportunities to the students. Internship will not only help students to deal with real-world situations but also provide them with in-depth knowledge of the corporate world. In particular, in the data science field, students can work in an internship to learn more about their careers.
Internship
No Internship
No Internship
Final Placements: Many organizations claim that they provide placement support such as mock interviews and resume-building sessions and may even be a placement guarantee. But in the end, there is no placement support or placement guarantee. Students have to struggle to find a job in the market.
You should check the placement records or the reviews and ratings regarding the feedback on Analytics Jobs so that you can make the right decision.
Final Placements
Placement Support (Resume building and Mock interviews)
360 Degree Career Support
Analytics Jobs Reviews: Check out the course reviews on India’s first and only Q&A forum. Analytics jobs is the only place to find genuine and up-to-date reviews, ratings and feedback.
Analytics Jobs Reviews
To sum up all the factors, this is the comparison summary of Great Learning data science course and Upgrad data science course.
Comparison Summary (Great Learning VS Upgrad)
Founders
Mohan Lakhamraju, Hari Krishnan Nair and Arjun Nair
Ronnie Screwvala, Mayank Kumar, and Phalgun Kompalli
Course Duration
12 Months
12 Months
Mode of Training
Online/Live
Online/Live
Data Science Course Fee
₹ 2,95,000 + GST
₹ 4,48,000
Course Curriculum
Python Bootcamp for Non-Programmers
Foundations (AI & ML)
Machine Learning
Artificial Intelligence (Neural Networks, Natural Language Processing and Deep Learning
Python Bootcamp for Non-Programmers
Foundations (AI & ML)
Machine Learning
Artificial Intelligence (Neural Networks, Natural Language Processing and Deep Learning
Data Toolkit
Machine Learning
Business Intelligence/ Data Analytics
Deep Learning
Data Engineering
Natural Language Processing
Business Analytics
Data Toolkit
Machine Learning
Business Intelligence/ Data Analytics
Deep Learning
Data Engineering
Natural Language Processing
Business Analytics
Query Resolution
Weekly Online Expert Mentorship
Support available all days for 24 hours
Student Faculty Ratio
Small Batches
Small Batches
Industry Projects
11 Projects and 40+ Case studies
Hotel Booking Cancellation Prediction CredPay MovieLens Google Play Store COVID Detection Used Car Price Prediction Personal Loan Campaign Purchase Prediction Machine Predictive Maintenance
60+ Projects and 60+ Case Studies
IMDb Movie Analysis Uber Supply-Demand Gap Lead Scoring Fraud Detection Social Media Listening Telecom Churn Interactive Market Campaign Analysis Retail Giant Sales Forecasting
Capstone Project
1 Capstone Project (AI & ML)
No Capstone Project
Internship
No Internship
No Internship
Final Placements
Placement Support (Resume building and Mock interviews)
360 Degree Career Support
Analytics Jobs Reviews
Other comparisons
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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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