Great Learning

The course "Data Science and Machine Learning: Making Data-Driven Decisions" by MIT IDSS thoroughly covered essential concepts, simplifying my understanding of machine learning. The flexibility to tailor projects to my career goals and the opportunity... Read More to present them in business-oriented PowerPoint presentations greatly enhanced my learning experience. This approach helped translate technical concepts into business language and prepared me for real-world scenarios. The integration of IT and business management, along with dedicated mentorship and practical case studies, made the learning applicable across various industries. Additionally, the support from my Program Manager and the Great Learning team was invaluable in ensuring a smooth course experience. The title "Data-Driven Decision Making and Machine Learning" is well-deserved.

Pros: great content. Great instructors and support staff. The content is very dense but understandable. The instructors are kind and helpful. They respond to questions very quickly. The support staff is also very helpful and responsive.

Cons: some of... Read More the quizzes were not helpful. Minor inconvenience though.

I took the DSML Program offered by the IDSS- MIT on the Great Learning Platform. (November 2024A-cohort). The program met all my expectations. The video lectures, assessments, projects and all materials were very helpful to understand concepts.The support... Read More from the academic and Program Management team made the entire experience smooth and enjoyable.

Based on reading some older comments on reddit and other places, I was hesitant (folk highlighting admin issues, unsolicited phone calls, forced feedback, etc.) but I liked the look of the curriculum and the MIT name behind it, so I went ahead and have... Read More just completed the 12 week course.

My experience was overwhelmingly positive. There was some annoyance at the beginning while getting enrolled (I don't like phone calls) but once the program kicked in, I found it really good. It took me a little while to understand the roles involved and get into the rhythm.
- The MIT professors deliver the theory during the week. I watched the recordings in the evenings.
- A Great Learning mentor then facilitates the more practical work on the weekend. Attendance via Zoom is mandatory.
- A Great Learning program coordinator deals with all the session coordination, admin, etc.

I found the content delivered by the professors top notch, although a lot went over my head. I wish I had more background in stats. What I most appreciated, though, was the quality of our group's mentor, who did an excellent job bridging from the theory into the practical python notebook work. He has deep industry experience and kept things very real. I have a new level of respect of data scientists.

The coordinators have a thankless job and I feel they did it well, dealing with a lot of variables and keeping us all on track.

One real annoyance: After a mandatory session, their learning portal would not let me access any material unless I rated the session. I understand the value of feedback but locking me out until I do is a horrible user experience. Their portal was upgraded to a new release during our course and I feel that a lot of the negative comments I previously read have been addressed. It can still be hard to navigate but that's partly because there's a ton of great material provided with each module.

I am very happy I decided to pursue this course and highly recommend it.

I initially heard of this class on social media, and immediately jumped on applying. Given the career I am pursuing, I felt it aligned well with my goals and ambitions. There is an interview process (single interview with a short follow-up) and once you... Read More finish, you choose a cohort. The cohorts are very small. If you need to, you may be able to start the cohort after the soonest, but I'm not sure that you're able to beyond that. Once you begin your cohort, there is pre-work that helps get you warmed up for the course, as well as a few additional relevant complimentary courses. These are all optional and work at your own pace courses. Once you begin the main courses, there are both optional and mandatory class sessions. There are plenty of projects to complete along the way that help you to understand the concepts better. On to the review portion:

The instructors and mentors are very knowledgeable on each topic that they cover. If there are questions at any point during the meetings, they don't hesitate to clear up any questions, concerns, convolutions (no pun intended), or confusions anybody might have. They explain everything more in depth if necessary and verify whether you understand or not. They may ask you to specify what you need to know if their initial explanation doesn't suffice, but they will answer your questions nonetheless, and in depth. At the end of this class, there is a final project of three parts.

There is one advisor that you will communicate with, and in my experience, mine was very responsive and again, answered any questions I had. There were some that he could not answer, and subsequently pointed me to the correct location and person.

Overall, this class was both challenging and informative. I will likely take more courses, but in due time.

This program truly stands out! Great Learning's approach to teaching is not only unique but also incredibly effective. They've teamed up with MIT to provide live virtual classes led by MIT faculty, and they host engaging weekend sessions with industry... Read More experts in Data Science, who offer priceless mentorship and support to all students.

Their online learning management system, Olympus, is extremely effective and very user-friendly, making the experience of online learning seamless, practical, and enjoyable.

Some aspects I loved about this program include its thorough training, which includes various practice case studies and hands-on projects and the fact that all classes and sessions are recorded, so students can easily revisit the material at their convenience, allowing for a more personalized learning pace.

We also had the privilege of working with an amazing Program Manager and an incredibly supportive Academic Team who were always there to help us with any questions or concerns about our studies.

This program has transformed my life, and I would highly recommend it to anyone looking to grow as a Data Science professional!

Seriously, I really appreciate this program. It provides a comprehensive and well-structured course that is both informative and engaging. The content is clear, easy to follow, and highly valuable for learning. I truly recommend it to anyone interested.... Read More

My experience with the AI course at Great Learning has been truly exceptional. The curriculum is well-structured, covering both theoretical foundations and practical applications, making complex AI concepts accessible and engaging. The hands-on projects... Read More and real-world case studies were particularly valuable in reinforcing learning.

One of the standout aspects of the program is the Program Manager support. My PM is incredibly knowledgeable, patient, and always ready to clarify doubts, ensuring that students had a strong grasp of the material. Their guidance significantly enhanced my learning experience.

The overall learning environment was interactive, with a strong focus on collaboration and problem-solving. The instructors are industry experts who provide insightful perspectives, bridging the gap between academic knowledge and real-world AI applications.

I highly recommend this program to anyone looking to upskill in AI. Whether you're a beginner or someone with prior experience, the course offers the right balance of depth and clarity to help you succeed.

I absolutely loved this course and the Great Learning platform. The well-structured curriculum, high-quality content, and experienced mentors made this journey truly enriching. The structured delivery of video lectures, interactive quizzes, hands-on practice... Read More material, and industry-led mentored sessions ensured a seamless learning experience. Assessments and real-world projects helped reinforce my understanding and application of concepts effectively.

A special mention to my Program Manager, Prachi, who played a pivotal role in my success. Her timely reminders and follow-ups, even on WhatsApp, kept me on track, motivated, and highly engaged throughout the program. Her unwavering support made a significant difference in my learning journey.

Pros:
+ Structured and well-designed curriculum with a perfect blend of theory and hands-on learning.
+ High-quality video lectures from renowned academicians.
+ Weekly live mentored learning sessions by industry experts.
+ Practical case studies, assessments, and real-world projects for experiential learning.
+ Peer learning opportunities through hackathons and interactive activities.
+ Exceptional support from mentors and program managers, ensuring a smooth and motivating learning experience.

Cons:
- Absolutely nothing to mention—this program is designed for excellence!

Completing the Applied Data Science Program from MIT Professional Education has been an incredibly enriching experience! This program provided a deep dive into Machine Learning, Deep Learning, Data Analysis, Time Series Forecasting, and Recommendation... Read More Systems, equipping me with the hands-on expertise to tackle real-world data challenges.

The curriculum was structured to balance theoretical foundations with practical applications, ensuring that every concept learned was immediately reinforced through industry-relevant projects. The program’s focus on AI-driven decision-making has significantly enhanced my ability to leverage data effectively for strategic insights.

A special note of appreciation to Janvi, our dedicated Program Manager, whose unwavering support ensured a seamless learning journey. Also, a huge thank you to my mentors – Nikhar Shah, Ankit, and Christaniao – for their invaluable guidance, expert insights, and encouragement throughout the program. Their mentorship played a pivotal role in deepening my understanding and applying advanced AI techniques effectively.

I highly recommend this program to professionals seeking to advance their careers in Data Science and AI. The knowledge and skills gained here will undoubtedly have a lasting impact on my journey in the field of artificial intelligence.

🚀 Looking forward to applying these skills to real-world challenges!

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