MIT Professional Education's Applied Data Science Program Reviews

It gave me skills in Data Science to apply to work. . Advice for Students : It's a great program. Stick with it to completion.

Gave me the foundation and structure needed to expand my scope. Advice for Students : Make sure you set time aside to focus on the course, particularly for the capstone, which is very intensive. Do not skip live lectures, and make sure to go through the Stats foundation.

I am trying to change my career path. The program helped me to draw a big picture of machine learning and data science. It esatblished a foundation from where I can start the next step. . Advice for Students : Different time zones can be confusing. Be sure to confirm your time whenever you need to take courses and submit projects.

I am happy to have this data science knowledge now. I feel empowered and ready to take my career forward.. Advice for Students: Just keep doing it, there is a lot of support, flexibility and the mentors and professors are great. You won't regret the experience.

It helped me get a good understanding of the work of a data scientist. I am now ready for job opportunities in the area.. Advice for Students : I will advice them to concentrate their efforts on the MLS notebooks and to take the weekend sessions seriously.

The videos provided for the prereads helped a lot. The pace of teaching was perfect. The structure of the presentation made it easy to follow.

Professor has a talent to make difficult concepts simple to grasp. The program was insightful and a pleasure to attend.

The faculty team is truly awesome and thorough in answering questions. A clear objective of achieving understanding vs going through the motions.

A very interactive course and clarification to confusing sections. Appreciate Great Learning for its outstanding delivery.

I loved how Prof. Devavrat treated all is us just like we were in a real physical class in the University, engaging us, giving us work like "I want you guys to work on this and we will start the next class with your doubts.", taking names and reaching out students for their doubts. It was nice to be referred by name instead of a 'someone' as had been in all of the preceding classes. Would request the GL team to convey this to future profs in subsequent iterations of the course mentioning that learning outcomes are better and learners feel more valued. I personally really like this format and I'm guessing there will be a significant number of learners who will echo this sentiment. All classes have been great so far, but I wanted to make a special mention of this very personal element in Prof. Devavrat's class.