MIT xPRO

In the beginning I didn’t have any idea of what I was going to learn, but know that I finish this program I can say that this knowledge is very helpful for analyzing big quantity of data and give an answer in less time that if I use the common method... Read More that is by making a spreadsheet and making some graphs. It was a little bit difficult to attend some classes, because of my day to day work, but at the end my program manager help me a lot an to achieve all the deliverables.

I did not know a single string of code before enrolling in this program. I worked with Excel and formulas, but would still consider my knowledge in that area to be very basic. I am also a single mom and I work full-time in a mentally draining role. I... Read More am not what one would consider “math brained“. I do not process numbers as rapidly as most who are enrolled in furthering their education in a field of study such as this. I am much more “engineer minded”; how is something made, why is it done that way, how does one thing affect another thing, etc. Because of these things, this was a very challenging program for me. However, I saw the value that it offered and knew the reason I enrolled was to advance my career with the knowledge learned in this program. If any of this resonates with you, and you are considering enrolling in the program, I found what offset the challenges I faced was my determination to see the program through to the end; because I believed in the knowledge I would gain to help me reach a particular goal. Your commitment to dedicating time to the program will be another key to your success. If you are considering enrolling, I encourage you to get started with the pre-work as soon as possible so you are familiar with the groundwork of code and terminology. Familiarize yourself with Google Collab, which is the program they use to run code cases. This is what will give you actual experience in implementing the things you will learning. Go ahead and prepare your family to understand that you will have no free time. And I mean that. When I would get home from work, I would eat a very quick bite, and sit down to start my studying/lectures. I did that until around 10-11 o’clock nightly, five days a week. I took my laptop with me to sports functions, I studied in the car, and during my lunch break. It’s mandatory that you attend the Saturday and Sunday live classes. For two hours on Saturday, and two hours on Sunday, you will be dedicated to watching and participating in a live class. Most of the time, before that class, I was doing something related to that weeks topic. And after the class, due to discussions and expansion on the material, I often had things I wanted to look up and learn about. So when I say you will have no free time, I mean every word of that. It is a small price to pay for being able to take such an extensive course on this topic in such a short time. As adults, we don’t often have the luxury to attend traditional school at this phase in our life. The structure of this course allows us to get the education, and the trade-off is we have to cram it in in a short time frame. I am glad that I pushed myself, even though there were weeks that I literally cried myself through it. So if you decide to do this for yourself, and your career, then don’t be discouraged if you find yourself in a similar situation as you progress through the course. I promise you will make it through, and you will be glad you did. My program manager was very helpful and understanding when I found myself having difficulty in an assignment for whatever reason. If you find yourself facing a challenge, don’t be afraid to honestly communicate your situation to your program manager. They want to see you succeed and are your advocate for encouragement and support during your learning. If you want it bad enough, then you will not regret taking the step to enroll in this course!

Attending the 12-week Certificate in Data Science and Machine Learning program was a transformative experience that exceeded my expectations in many ways. From the start, the curriculum was both rigorous and engaging, blending theoretical concepts with... Read More hands-on applications. The instructors were not only experts in their fields but also passionate about teaching, making complex topics accessible and interesting.

The program covered a wide range of subjects, including data analysis, machine learning algorithms, and statistical methods. I particularly appreciated the emphasis on practical projects, which allowed me to apply what I learned in a meaningful way, and it made it easier to understand the concepts.

The resources available through MIT were extensive, from access to research, external resources, videos, projects and interactive online platforms that facilitated learning. I also appreciated staff's understanding of student's busy schedules and being accommodating, allowing us to balance the coursework with my professional commitments, making it feasible for anyone considering this program.

Overall, I highly recommend the Certificate in Data Science and Machine Learning program for anyone looking to deepen their understanding of the field.

This program taught me a lot about data science and using AI to visualize data. It was a rigorous course but very informative. All the professors were great and explained the information in a way that was very understandable. We also had a terrific program... Read More manager that answered all our questions and kept us very informed.

Overall a great program. The curriculum is meticulously designed, offering a great balance between theoretical concepts and hands-on practice. Each module is crafted to build on the previous one, ensuring a cohesive learning experience. The program covers... Read More a wide array of topics, including data analysis, machine learning, data visualization, deep learning, and statistical methods, providing a comprehensive overview of the data science field.

Faculty:
The faculty at MIT are unparalleled in their expertise and dedication. They bring a wealth of knowledge from their research and industry experience, making the lectures incredibly insightful. The instructors are not only experts in their fields but also excellent educators who are adept at explaining complex concepts in an accessible manner.

Special mention to our program manager, Ritin Jhamb, who did an excellent job in facilitating the program and providing guidance and overall support.

Amazing teachers and great counceling. The course uses a great platform and uses short and understandable videos. I found the lessons to be easy to grasp and learned a lot from it. I believe the course is extremely useful in developing valuable career... Read More skills.

I had great expectations, considering it was MIT. However, my expectations were exceeded. The course offers us all the necessary roadmap to learn and continue learning. I would do it again for sure.
All modules are well thought out and we build solid knowledge... Read More throughout the course, at the same time as we build a portfolio of projects capable of boosting our career.

The program is amazing and the staff there to help you every step of the way. Just don't be afraid to ask if you encounter any problem. They are more than welcome to help. The program includes weekly live Mentoring after you watched the weekly course.... Read More Usually test and program a day after and you will have a program manager to contact if you encounter any issues.

I thoroughly enjoyed every class in the MIT Applied Data Scientist program. The program manager, Prashi, was consistently attentive, ensuring that everything ran smoothly. She ensured we completed and submitted assignments on time, always offering assistance... Read More if needed. The classes were exceptionally helpful, especially the mentor sessions, and the projects we worked on significantly contributed to my own projects. If I were to take another course in the future, it would definitely be with MIT.

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.