Great Learning

I recently completed the MIT Applied Data Science Program (ADSP), and I must say, my experience has been overwhelmingly positive, though not without its demands. My primary goal was to deepen my understanding of data science, focusing on predictive analytics... Read More to enhance my professional skills. The MIT ADSP exceeded my expectations by providing a thorough curriculum that covered crucial areas of data science, including Python and Statistics foundations, data analysis and visualization, machine learning, practical data science applications, deep learning, and recommendation systems. The program’s structured approach to learning is commendable. The on-demand content is detailed yet user-friendly, making complex concepts accessible. Live classes with esteemed instructors offered invaluable insights and a chance to engage in real-time discussions. Moreover, the mentoring sessions were a standout feature, offering personalized guidance and clarifying doubts, which significantly enhanced my learning experience. However, it’s important to note that the program is quite intensive, requiring a significant time commitment. Balancing this with personal time can be challenging, and prospective students should be prepared to dedicate substantial hours to fully benefit from what the program offers. The practical approach to evaluation through quizzes and projects allowed me to apply what I learned, reinforcing my understanding and skills. The Great Learning platform is noteworthy for its seamless user experience, providing easy access to content and live sessions, ensuring a smooth learning journey. Support throughout the program was exceptional, with a program manager always attentive and responsive to my needs, enhancing the overall learning experience. In conclusion, while the MIT ADSP is an exemplary program that offers comprehensive and practical learning in data science, it demands considerable time and effort. It’s perfect for those ready to invest in their professional growth but requires planning to manage the workload alongside personal commitments. I highly recommend this program to those aspiring to advance in the data science field, prepared to embrace its intensity for the sake of unparalleled learning outcomes.

As a software developer and a current master's student in computer science, my academic and professional journey has been deeply intertwined with technology. My interest specifically lies in the fields of Artificial Intelligence (AI) and Machine Learning... Read More (ML), technologies I believe have the potential to revolutionize industries by automating labor-intensive processes and enhancing the quality of human life. My core motivation to upskill in AI and ML stems from a desire to broaden my understanding and acquire the capability to apply these technologies innovatively across different sectors. With the technological landscape evolving at a rapid pace, staying updated with the latest developments in AI and ML has become imperative for anyone aspiring to make significant contributions to the field. My experience with the Great Learning AI and ML course has been nothing short of transformative. The program offers a perfect blend of theoretical knowledge and practical application, enabling me to work hands-on with ML projects and build state-of-the-art AI and ML models. The exposure to real-world projects has been particularly enriching, as it has allowed me to apply what I've learned in a tangible and impactful manner. Overall, my journey with Great Learning has been incredibly rewarding. The course has met and exceeded my expectations, equipping me with the skills and knowledge needed to excel in the ever-evolving domains of AI and ML. I highly recommend this program for anyone looking to delve deeper into these fields.

Had a great experience in this program. It was challenging, but helped me learn industry methods and practices for data science & machine learning. There's plenty of support, documentation, and content. Things move very quickly, so I'm excited to continue... Read More diving into the content, since I will have access for a few more years.

I found the program genuinely impressive and I’m grateful to have been part for it. I have to admit that I found it rather challenging, and part of that is because I lack any relevant computer science background. I’ve been focused in a very different... Read More field for years now, and the transition process is difficult to understate. However, I think being in the program helped me stay on track so it helped in this time of change at the same time. Regarding the content, the course is very focused on application vs theory. This was discussed prior to starting but I was still surprised, perhaps due to how strange it feels to apply without understanding. Looking back, I would say it requires a decent amount of self-study because it’s not easy to be writing code about data when it feels like you have not even grasped the basics. It is certainly doable though and I’m sure that’s how everyone learns. The lectures given by professors during the week are quite in-depth and do cover many more theoretic concepts, which I appreciate, but they do feel a bit advanced at times, something I would expect for upper-level university class. Of course, I enjoyed it, but it can be a lot to take in, especially the math. Luckily, the weekend mentor sessions were very direct and comprehensible, so they balanced that out nicely. To end this rambling review, I want to say that my favorite part of this program was how accommodating they were. I did not go into it expecting any leniency, but I was able to get extensions on several assignments that I missed the deadline for. I feel really appreciative about that, as I was being given another chance. The program is great with communication, and it’s easy to message or call if you need help.

The Applied Data Science Course was great! The MIT professors delivered excellent classes on theory and the real life case studies were supported by a group of industry experts with hands on experience in delivering data science projects, giving practical... Read More knowledge and experience. It was all seamlessly coordinated by a program managers to ensure each week was clear and well organized.

Would have appreciated more : *Hands-on exercises *Relevant and longer quizzes *Exercises on deployment of models *Business projects But overall experience was great. I appreciated the practical cases. The quizzes ( though quite easy) and the projects... Read More ( FoodHub, elective and capstone)

Hands down the best use of money and time. With out a doubt this course enabled my recent career progression as Product Manager in a Retail industry who has a track record of using AI / ML to enhance the customer experience. If you're interested in AI... Read More / ML and weren't a Computer Science / Mathematics / Statistics major in college this is a perfect class. It focuses on building intuition about very technical algorithms while also providing enough depth. Since the advent of the internet and recent raise of AI / ML there is a cornucopia of information (which can and can't be trusted). In this course you get MIT professors who know their stuff. TF

Taking advantage of Great Learning's online technology classes was a game-changer for my professional development. Designed with both newcomers and seasoned pros in mind, the curriculum is current, thorough, and extremely well organized. The professors... Read More are authorities in their professions; they break down difficult subjects into manageable chunks and provide students with practical advice. The practical projects and assignments that were immediately applicable to real-world situations greatly improved my skill set. Great Learning stands out because of its commitment to hands-on learning. Thanks to the accommodating schedule, I was able to juggle my work and school responsibilities with ease. If you want to go further in the software industry, Great Learning is a must-have. It was far beyond my expectations.

I can't praise the program enough for its exceptional quality. It truly opens new perspectives for me, with blending scientific methodologies with practical business problem-solving techniques. I feel equipped to excel in a variety of professional settings.... Read More

The Data Science and Business Analytics program I have enrolled into is very well structured and the lecture materials,the video content of the professors who have expertise in the field has been organized in such a manner that it was a ease to toggle... Read More through the topics. The mentored learning sessions are an eye opener as what is the the expectations of the industry in terms of the standard of executing and packaging the projects as well as the presentation skills needed to share the insights with the Business Stakeholders.