About Great Learning
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Great Learning is a leading global ed-tech company for professional and higher education with million+ learners across 170+ countries. It offers industry-relevant programs in data, management, and technology domains. Its programs are developed in collaboration... Read More
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Courses
Advanced Digital Marketing and Growth Strategies
Applied Data Science Program
Data Analytics Essentials
Data Science and Machine Learning: Making Data-Driven Decisions
Future Leaders Programme
No Code AI and Machine Learning: Building Data Science Solutions
Post Graduate Program in Cloud Computing
Post Graduate Programme in Cybersecurity
Postgraduate Program in Artificial Intelligence & Machine Learning
Postgraduate Program in Data Science & Business Analytics
Great Learning Reviews
Average Ratings (All Programs)
Uzezi Ekhator
Employee Relations Consultant (HR) | Graduated: 202412/19/2024
Course
Data Analytics Essentials
"The Great Learning Opportunity"
I decided to take a course in data analytics to upskill but was having a difficult time deciding how to go about it. I filled out an inquiry form with Great Learning and shortly after was paired with a consultant who worked me through the process.
The... Read More
The mentorship sessions offer a great opportunity to gain clarity on any topic/concept which was not cleared during the self study.
The mentors I am exposed to are very knowledgeable and great teachers who have always done a wonderful job simplifying every topic/concept being covered and facilitated a hands-on approach. Also, having the mentored learning sessions recorded makes it possible to rewatch it multiple times as needed.
Other aspects of the program I find beneficial are the weekly quizzes with feedback and the accessible and very helpful course advisor.
In summary, my experience with Great Learning has been an amazing one and worth every dollar paid!
Do you represent this school? Respond to a review.
Joshua
Graduated: 202412/11/2024
Course
Postgraduate Program in Artificial Intelligence & Machine Learning
"To those considering Great Learning for AI/ML studies."
Embarking on a journey into machine learning and AI felt daunting at first, but my experience with Great Learning has been nothing short of life-changing. As someone transitioning careers, I wasn’t sure if I had the skills—or even the courage—to succeed... Read More
Riddhi’s support has been instrumental to my growth. She possesses a rare combination of technical expertise and emotional intelligence, always meeting her students where they are with patience and encouragement. Whether through one-on-one guidance or her ability to foster a strong digital presence, she creates a learning environment that feels both personal and empowering. This level of mentorship isn’t just about learning concepts—it’s about building belief in your ability to achieve more than you thought possible.
Great Learning’s program is rigorous but rewarding, with a curriculum designed to push you beyond your limits in the best way possible. I’m also incredibly grateful for the encouragement and expertise of mentors like Himanshu and Amrita, who have made this journey feel manageable, even at its most challenging points.
To anyone hesitant about pursuing this path, my advice is simple: don’t hold back. The support, structure, and opportunities at Great Learning are unmatched, and the experience is one that could truly redefine your potential. I’ll always be thankful for Riddhi and the team for helping me discover what I’m capable of achieving.
Ramadan Sadek
Engineer | Graduated: 202412/11/2024
Course
Data Science and Machine Learning: Making Data-Driven Decisions
"Overall Great Course that i would highly recommend"
I recently completed the Data-Driven Decision-Making course offered through Migrate Learning in collaboration with MIT, and the experience has been nothing short of transformative. From the in-depth curriculum to the incredible support from staff, every... Read More
Course Content and Learning Experience
The course provided an extensive exploration of critical data science topics, such as supervised and unsupervised learning, deep learning, computer vision, and neural network models. Each topic was introduced in a structured and engaging manner, allowing concepts to build progressively. The focus on hands-on projects was a standout feature, offering participants an opportunity to apply advanced methodologies to real-world problems. For example, learning to leverage computer vision techniques for processing complex visual data significantly enhanced my analytical capabilities.
The course also included practical applications for fields such as marketing analytics, AI innovation, and agriculture research. Participants noted being able to use AI tools for tasks like phenotyping and yield prediction or improving customer data modeling. This emphasis on practicality makes the course not only educational but directly applicable to diverse industries.
Staff and Mentorship
A key strength of this program was the incredible support provided by the staff. Special thanks to Zeba, whose professionalism and unwavering assistance made the learning journey smooth and enjoyable. Additionally, the mentorship sessions with industry experts were invaluable. These mentors provided personalized guidance, offered insights into real-world applications, and helped clarify challenging concepts.
Course Structure and Delivery
The program's structure was thoughtfully designed, with content divided into manageable modules. Quizzes, assessments, and live sessions reinforced the material, making it easy to follow and retain information. Weekly instructor-led sessions brought the concepts to life, while the capstone and additional projects helped cement the learning.
The inclusion of no-code AI tools further enhanced accessibility, empowering participants with little coding experience to engage deeply with data-driven decision-making techniques. This aspect was particularly praised by those looking to upskill in AI and ML without a heavy technical background.
Practical Relevance
One of the most impactful aspects of this course was its focus on practical, hands-on learning. Real-world case studies and multiple projects allowed participants to directly translate theoretical knowledge into actionable insights. Whether developing data pipelines or refining analytical strategies, the course prepared learners to tackle real-world challenges with confidence.
Conclusion
This program is an exceptional choice for anyone looking to gain a comprehensive understanding of data science, AI, and machine learning. The combination of academic rigor, practical projects, and expert mentorship ensures that participants not only gain knowledge but also build confidence in applying it.
If you're considering advancing your career in data-driven decision-making, I highly recommend this course. It’s an investment that delivers real, tangible value, whether you're new to the field or an experienced professional aiming to sharpen your skills. Thank you, Migrate Learning and MIT, for an incredible experience!
ASM Monwarul Islam
Graduated: 202411/30/2024
Course
Postgraduate Program in Data Science & Business Analytics
"Learning in a great way"
This is a unique Post Graduate Program encompassing 2 of the in demand subjects like Data Science and Business Analytics. The course curriculum is well designed and meticulously monitored by a dedicated program manger. In addition there are mentored learning... Read More
As a whole I am experiencing a great way of learning another dimension of knowledge . Thanks to Great Learning for delivering such a wonderful course.
Udeme Ekrikpo
Graduated: 202411/28/2024
Course
Data Science and Machine Learning: Making Data-Driven Decisions
"Enlightening and Invigorating."
This program employs a superb teaching style. It is a great program if you want to upskill and become more effective in research or industry. The learning curve is not too steep for those with a background in Math, Engineering, Bioinformatics, Epidemiology,... Read More
For very busy professionals, prepare to learn from these fast-paced modules in a period where you have some extra time off work.
francesco paolo esposito
research associate / consultant | Graduated: 202411/23/2024
"great learning MIT IDSS course in Machine Learning and Data Science"
The pros are the you are introduced to a discipline that is fragmented among the uncountable versions of application algotithms, facilitating the approach by isolating the coommon roots of the topics, by laying out grounds for further development. With... Read More
The cons are that.. is up to you! as it is pretty obvious, you are not buying a pass-through ticket. It's up to your baseline skillset, ambition and willing to thrive, that would make those high level, professionally delivered suggestion into a profession or a business.
I really enjoyed it
Laban Bwire
Software Developer | Graduated: 202411/17/2024
Course
Data Science and Machine Learning: Making Data-Driven Decisions
"A really Great Learning experience"
The GreatLearning course was a short but intense 12 week programme that gives a detailed training on the theoretical and practical aspects of Data Science and Machine Learning. They have a great platform and a supportive administrative team that gives... Read More
Anonymous
IP Network Infrastructure Manager | Graduated: 202411/17/2024
Course
Data Science and Machine Learning: Making Data-Driven Decisions
"The Machine Learning course organized by Great Learning and MIT IDSS has been worth it."
I took a course in Machine Learning organized by MIT IDSS and Great Learning. I must say that this is my first exposure to a Machine Learning program but the course has been well structured and so insightful with a mix of online reading materials and... Read More
Paul Carden
Graduated: 202411/16/2024
Course
Data Science and Machine Learning: Making Data-Driven Decisions
"Excellent learning experience from start to finish"
From start to finish, completing the course has been very rewarding. The structure and flow of the course are excellent. The tutors are very knowledgeable. The hands on exercises are delivered using powerful resources, such as Jupyter notebooks. Programme... Read More
Pankaj Singh
Data scientist | Graduated: 202411/16/2024
"It was a great experience."
It was wonderful learning experience with MIT and great learning. Amazing professors.
Program manager (Janvi ) supported me really well throughout the Data Scientist journey.
It was quite challenging while doing a job and doing this course but they supported... Read More