MIT xPRO

It is fast-paced, it is jam packed, it is a lot of hands on experience and a wealth of knowledge gained from trainers, mentors and classmates. Special mention to Dr. Ruchi. I could not say enough of her support and how pivotal it has been in completing... Read More this journey.

Taking this course was an excellent decision. There are very professional professors who provide practical knowledge, a mentor who helps us deeply review it with practical code, and a manager who supports us as a face maker to complete all the projects.... Read More This harmonious team enables the student to accomplish the long journey. The designed curriculum is very well organized so that we can absorb practical key points from the extensive background of Data science. Moreover, since we can access to the high-quality materials on the server for 3 years, it would be very helpful even if we finish this course. I'm glad to get to learn a lot efficiently, and appreciate the team!

The MIT Professional Education's Applied Data Science Program proved to be an intensive yet fulfilling journey. The structured curriculum, encompassing Python, statistics, machine learning, and deep learning, provided a robust foundation and advanced... Read More knowledge in key areas of data science. Janvi, our Program Manager, was particularly instrumental in guiding us through the program, offering personalized feedback and support that greatly enhanced the learning experience. The Capstone project was a highlight, allowing for practical application of the concepts learned. While the pace was challenging, the educational payoff was significant. The only drawback was the compact schedule, which demanded a high level of commitment and time management to keep up with the rigorous coursework and project deadlines..

I really enjoyed getting exposure to a wide variety of topics. The workbook exercises in Python were exactly what I was looking for in this course. It was a lot to learn and required some long weeks/weekends to keep up with having a job but well wort... Read More the effort.

Terrible experience. Before I apply for the MIT course with Simplilearn they called me many times to explain how could I split the payment, etc. In the second month I already had problem with my payment that was debited in total. The installments didn’t... Read More proceed as agreed and they didn’t give me the support to solve my problem. If you need to installment your payment I really don’t recommend this company. They can’t control the payment installment and the problem will stay only with you to find a solution. Unfortunately a terrible experience.

I have learned so much by participating in the applied data science program! Several times I would say "wow!" after listening to the lectures. For instance, I thought I knew how to perform regression; after taking this program, I now know how to perform... Read More regression in a more detailed, comprehensive way. The instructors were excellent, as were the course materials. I highly recommend this program to anyone wanting to know data science.

Pros: 1.)I Linked one is exposed in a structured way to The main concepts in The world of data Science 2.-) in 12 weeks I have learned a whole range of knowledge that puts me in a great position in The professional world. CONS: May be The schedules of... Read More The courses a mentoring session more flexibles

I was looking for a way to improve my skills and knowledge in the field of applied data science. The MIT program was the perfect fit. The curriculum was so comprehensive and well organized, and the instructors and mentors were experts in their field.... Read More I learned a lot in short time.

Pro- *You will gain a good theoretical understanding of data science. * Learn python coding * Materials will be available for future use. * Great lecturer, mentions and feedback. * weekends learning sessions were great too. Con- * the weekly classes were... Read More told they weren’t mandatory however we got points taken for missing those lectures even though some people had to work *

• 1. Great content: comprehensive, thorough, technically sound 2. Great delivery with a good mix up of videos, hand-outs and a good chunk of projects and master class/lectures 3. Great support proposed during the entire course and beyond. 4. Great communication
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