Great Learning

I felt this program was a very good introduction to data science and machine learning. I’m hoping to grow my knowledge know and hopefully change careers to a role in data science. The material is easy to follow, but it does require dedication and persistence... Read More to keep up with the program.

The MIT Applied Data Science Program: Leveraging AI for Effective Decision Making was an exceptional learning experience. The curriculum provided a strong balance between theory and real-world application, helping me build practical skills in AI and data-driven... Read More strategy. The hands-on elective projects and capstone were both challenging and engaging, allowing me to apply the concepts directly to realistic scenarios. I felt well-prepared throughout the process, and the support from instructors and peers made the experience even more rewarding. It’s a truly valuable program for anyone looking to use AI to make smarter, data-informed decisions.

"The MIT Applied Data Science program" is an intellectually rigorous and deeply rewarding experience. Over the course of 12 weeks, I gained a comprehensive understanding of probability theory and its foundational role in modern data science. The curriculum... Read More seamlessly bridges statistical fundamentals with practical machine learning techniques, covering both supervised and unsupervised learning in a structured and immersive format.

What sets this program apart is its multifaceted learning environment. Weekly mentor-led sessions fostered collaborative dialogue and reinforced key concepts, while hands-on project work provided the opportunity to apply theory to real-world datasets. The guidance from MIT faculty added a layer of academic depth and clarity that elevated the entire experience.

This is not just a course — it's a transformative journey for professionals seeking to build a strong analytical foundation and apply data science with confidence and precision. I highly recommend it to anyone committed to advancing their skills in a meaningful and methodical way.

Completing the “Data Science and Machine Learning: Making Data-Driven Decisions” program by MIT IDSS (via Great Learning) was truly a transformative journey for me. The course beautifully blended academic rigor with real-world applicability, helping me... Read More strengthen both my analytical thinking and technical implementation skills.

The curriculum covered the entire data science lifecycle — from EDA, hypothesis testing, and supervised/unsupervised learning to machine learning algorithms, model evaluation, and data-driven decision-making. Each module was well-structured, with clear explanations, case studies, and hands-on projects that built a solid foundation in Python-based data analysis and ML modeling.

What stood out most was the practical project experience.,working on different projects.

The mentorship sessions and feedback from MIT IDSS faculty and Great Learning mentors were insightful and encouraging. They helped bridge the gap between theory and practice and guided me in thinking like a data scientist.

I’d highly recommend this program to anyone aspiring to transition into data science or strengthen their AI/ML skills — it’s a perfect balance of academic excellence and real-world application.

My experience with Great Learning has been nothing short of exceptional. They stand out as a beacon of excellence and efficiency.

Every aspect of their operation is finely tuned for success. The mentor assigned was not only a prominent expert in the field... Read More but also highly calibrated and professional, providing insightful guidance and support at every turn. This is complemented by what I can confidently say is the most efficient course management I have ever encountered on my learning journey.

The quality of the video content is top tier crisp, engaging, and always to the point, demonstrating a wise and respectful use of time. This excellence extends to their coordination and organization; their study materials are perfectly aligned and readily available, creating a seamless learning flow.

Most impressively, the course manager and the support team operate with incredible speed, resolving any queries almost instantly. This creates a frictionless environment where you can focus entirely on learning.

I am thoroughly satisfied and genuinely love the way they deliver their courses. Great Learning embodies the kind of efficient systems, quality training, and expert instruction that is desperately needed in the education industry today.

I wholeheartedly recommend Great Learning to my friends and anyone serious about catapulting their career to the next level. Choosing Great Learning is choosing a great learning journey and a significant investment in your professional future.

I recently completed the Post Graduate Program in Data Science & Business Analytics with Great Learning, and it has been an incredible journey of growth and learning. The program not only strengthened my technical skills but also challenged me to think... Read More critically and solve real-world problems. I feel motivated to continue exploring the exciting world of data science and apply these learnings to make meaningful impact. Highly recommended to anyone looking to upskill and grow in this field!

The Post Graduate Program in Data Science and Business Analytics with Great Learning has been an excellent learning experience. It is not only helping me strengthen my skills in Data Science and Business Analytics, but it has also opened a completely... Read More new world for me in coding.

The course is very comprehensive, the instructors are highly knowledgeable, and the support team from Great Learning is outstanding — their follow-up and guidance throughout the program have been amazing. Overall, it has been extremely valuable for both my personal development and my current work.

This program, led by expert faculty and industry professionals, has greatly enhanced my knowledge of data analysis, data science, and Python programming. It provides a robust and practical learning experience. Below is a summary of the program's strengths... Read More and areas for potential improvement.

Pros: What I Liked Most
• Excellent Foundational Structure: The program is exceptionally well-structured. It begins with the history and mathematical principles behind data science, making complex topics easy for anyone to understand and appreciate. Similarly, Python is taught from the ground up, building a strong foundation for all students, regardless of their prior experience.
• Practical, Real-World Application: The course is highly practical, featuring projects based on real-life scenarios. This approach ensures that you don't just learn the theory but also see exactly how it is applied in the workplace. The skills are immediately useful, and the projects are diverse, covering different professional fields which helps sharpen one's business understanding.
• Knowledgeable and Encouraging Tutors: The instructors were a key strength of the program. They were always on point when answering questions, were very encouraging, and provided valuable context on how technologies like Machine Learning and LLMs are evolving.
• Effective Learning Materials: The combination of well-structured videos, accompanying quizzes, and hands-on projects was critical for reinforcing my understanding of key concepts. This method helps solidify the knowledge and ensures a thorough grasp of the material.
• Accessible to All Backgrounds: Anyone can succeed in this program, regardless of their previous qualifications. While it is intensive in mathematics and Python, the curriculum is designed to guide every student to success.

Cons: Areas for Improvement
• Deeper Coverage of Advanced Topics: The program would benefit from expanding its curriculum on Large Language Models (LLMs). Key topics like Neural Networks and Reinforcement Learning should be included, even if only at an introductory level, followed by a practical case study or project.
• More Mathematical Background for LLMs: To support the expansion into LLMs, the course should incorporate more of the specific mathematical background required to fully understand how these advanced models work.

If you are new to ChatGPT and haven’t used it before, this is a great place to start. The course is short, practical, and focused on how AI can support HR. In just 1.5 hours, I gained a solid overview and learned how to apply ChatGPT to everyday HR tasks... Read More with confidence.

My experience with Great Learning has been truly rewarding. The course was well-structured, with a perfect balance of theory and hands-on projects that built my confidence in applying deep learning to real-world problems. I especially want to thank Tanvi... Read More Bhardwaj, our Program Manager, whose consistent support, clear communication, and encouragement made the journey smoother and more impactful. Overall, I highly recommend this program to anyone looking to upskill in AI and deep learning.