Great Learning

I started this journey because I wanted to switch my career focus from software development to data science.

From the start of the program, I was amazed by the amount of support given to us and the flexibility provided. I attend university on weekdays,... Read More so the fact that I was able to watch the recordings afterwards was very helpful.

On weekends, the mentored sessions were a good chance to help clear some questions and have more direct guidance.

The lesson contents were of high quality, specially the sessions with MIT professors, who were not only experts, but passionate on their fields.

The project submissions pushed me into new boundaries. This challenge made me develop new skills in data analysis and implementation.

Finally, I deeply appreciate the understanding of the program manager when I wasn't able to submit a project in time because of personal issues. He kindly allowed me an extension for submission that I thankfully used to upload a good submission.

Overall, this was an intensive high quality satisfying experience that opens a new route in my career, with newly acquired skills, to a direction of data science and its applications.

I have the pleasure of being a part of the August 2025 Cohort for this program and I was blown away by the pace of the lessons and the quality of the lecturers as well as the self-paced learning materials that are available 24/7. I was able to ask questions... Read More and learn from industry leaders who have worked with and are actually working with the materials covered in this program. Not only am I now left with a better understanding of the underlying theory of the many statistical, analytical, illustrative, and many different types of tools relevant in the data science field (they're too various for me to list but Network analysis, Matrix Factorization, Dimensionality Reduction are some I can recall). Despite having way too many things to do in my daily life, I did not feel rushed by the pace of this program and on top of all this, I have made some invaluable connections as well. I strongly recommend this program.

As someone who is new to programming but has a background in statistics and data science concepts, enrolling in the Great Learning Applied Data Science program has truly been a transformative journey. At first, I was intimidated by coding and practical... Read More implementation, but the structured curriculum, supportive mentors, and step-by-step learning path helped me gain confidence and progress steadily.

The program strikes the perfect balance between theory and hands-on application. The real-world projects allowed me to connect my statistical knowledge with actual data science workflows—data cleaning, model building, evaluation, and storytelling with data. The mentors were patient and knowledgeable, always ready to guide me whenever I got stuck.

What I appreciated most was the focus on perseverance and growth. Even when concepts were challenging, the learning resources, live sessions, and community support encouraged me to push through. Over time, I saw myself transform from someone hesitant about coding to someone who can confidently build data-driven solutions.

Great Learning didn’t just teach me data science—it reshaped the way I think, solve problems, and approach learning. This program has truly been a life-changing and empowering experience, and I highly recommend it to anyone who is ready to grow, no matter their starting point.

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 Data Science & Business Analytics course was good as a summary of past learning and coding use to analyze business data. It was also good exposure on how the data is used in machine learning. Overall, the course was insightful, a good start towards... Read More coding, and how coding is used in the business environment.