Great Learning

MIT/IDSS & My Great Learning was such a great experience. I'm walking away from it with real world application of machine learning techniques and the tools that go along with it. It was such a comprehensive program that had informative content and follow-along... Read More case studies. There were weekly mentor sessions to get you up to speed if you were having any issues with any of the modules. It was well organized and really had no problem throughout the 3 months. I've not only gained skills within the ML and data science sector but I received even more in-depth regarding the actual math and statistics behind it. Every section had a case study project that allowed you to apply what you just learned and projects that you could add to your portfolio.

The pros of Great Learning is the extensive volume of the learning content. The information was new with pragmatic real life case studies. The professors background cover works in field of data science at MIT. The remote teaching was the training setback... Read More to learning path. However it can be beneficial for a transforming world where work is virtualized. The program manager Dr. Middha is very supportive and prompt in helping students and providing responses.

I learned data science to the foundations. Began with basic rules of Python to complex topics such as recommendation systems. Great deal of work and good environment. I learned lots which can be applied to any new job. Happy to have completed the program.... Read More

This program covers Artificial Intelligence and Machine Learning concepts. Its is a great fast-paced program that begins with foundational courses on Python and Statistics, followed by 5 modules on Unsupervised Learning, Supervised Learning, Deep Learning... Read More and finally Recommendation systems. Each module comes with Practical Case Studies and curated resources which complements the live sessions with the incredible faculty from MIT. The weekend Mentor Learning sessions are absolutely valuable. The mentors are very helpful and give us a great insight into the real-world practices. Finally, the program ends with a simple elective project, followed by a real-world case as Capstone Project. Overall, it is a great program and I highly recommend it to anyone looking to learn Data Science applications in real world.

I am so glad that I enrolled in this course. It broadened my experience in data and ML and I am sure will help me greatly in my career and career development. The team Great Learning were very professional and I totally enjoyed my learning journey. Thank... Read More you so much all.

The content is very comprehensive in its coverage of both foundational machine learning and data science techniques. The topics are explored in the context of case studies with the guidance of industry experts, giving good exposure to real-world use cases.... Read More There's also plenty of resources to dive deeper into the theory for those who are inclined. The excellent quality of teaching by MIT faculty makes it possible to learn so much in little time. Given the breadth of material, those who have limited experience in programming and statistics won't be left out. The course is designed to set you up for success.

This program has helped me learn more about different areas of data science. Each week is jam-packed but you get a lot of support from the staff and fellow students. The lessons and projects are well structured, clear and informative. I would recommend... Read More this to anyone looking to learn more about data science and its applications.

This intense course was Great, a lot of information and practice given that you can use for future in your career. As online training you should be able to obtain what you need from the course by practicing more as all you need is there. I have taken... Read More 2 courses with Great Learning and experience has been satisfactory.

The program gives you lots of information very well structured and presented by great MIT professors. It goes from simple statistics and python to clustering/regressions to machine learning algorithms ending with deep learning. To help you digest all... Read More the information, Great Learning team holds weekend sessions where they summarize the material learned throughout the week. You also have access to Great Learning program managers via slack who usually answer your questions within a day. Being in between the jobs, I had time to study, watch optional videos and absorb the information, but it might be too intense for a person with a full time job and a family. pros: great professors, interesting topics, constant support from Great Learning. cons: might be too intense for person with a full time job and a family.

The instructors are fantastic very knowledgeable always willing to help answer questions for better understanding. Program manager is always available not only as a mentor but also with the objective of students completing the course successfully. Definitely... Read More recommend the course.