Great Learning

Review of the MIT Professional Education Applied Data Science Program

**Program Overview:**
The MIT Professional Education Applied Data Science Program provided a comprehensive exploration of data science techniques and AI applications, with a particular emphasis on effective decision-making. The curriculum was structured to equip professionals with the necessary tools to harness the power of AI in solving real-world problems.

**Personal Experience and Learning:**
Throughout the program, I engaged with a range of topics from basic data handling to advanced machine learning algorithms. The hands-on approach, facilitated by expert instructors from MIT, allowed me to apply theoretical knowledge to practical scenarios. This method was instrumental in deepening my understanding of complex concepts and their applications in data science.

**Relevance to Current Role:**
As an office coordinator for medical students in years 1 and 2 of their curriculum, the insights gained from this program are immediately applicable. I plan to utilize AI-driven analytics to enhance curriculum planning, student performance tracking, and customization of learning paths. Implementing these techniques will lead to more data-driven decision-making processes in educational administration, potentially increasing the efficacy of our educational models and student satisfaction.

**Review Summary:**
The program was exceptionally well-structured, blending theoretical foundations with practical applications. The learning environment fostered by MIT's faculty was both challenging and supportive, pushing students to explore the limits of current technology and encouraging innovative thinking. I highly recommend this program to any professional aiming to integrate AI and data science into their practice, regardless of their field.

### Future Goals and Application of Knowledge

**Immediate Application:**
In the short term, I am excited to apply the advanced data analytics skills acquired to optimize the curriculum for medical students. By analyzing trends in student performance and feedback, I can propose and implement data-informed adjustments to the curriculum, enhancing the learning experience and outcomes.

**Long-Term Academic Aspirations:**
Looking ahead, I intend to pursue a PhD in Computer Science or Data Science, focusing on the Biological Sciences. The knowledge gained from the MIT program will serve as a robust foundation for my doctoral research, where I aim to explore how AI can further revolutionize biomedical research and personalized medicine. The program has not only prepared me academically but has also ignited a passion for innovative research at the intersection of data science and biology.

**Conclusion:**
Completing the MIT Professional Education Applied Data Science Program marks a pivotal step in my career and academic journey. It has equipped me with critical skills and insights that will undoubtedly influence my current role and future endeavors in profound ways. I look forward to bringing these cutting-edge data science applications into the realm of medical education and beyond, driving advancements that are both impactful and transformative.

Lastly, I want to commend the Great Learning mentors involved in this program who worked tirelessly to ensure the program’s efficacy and tangible impact. Essentially, many thanks to Prashi Agarwal, Program Manager, who answered all our questions and accommodated our needs. Her outstanding knowledge and professionalism are noteworthy and commendable! 

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I recently completed the Applied Data Science course offered collaboratively by MIT and Great Learning, and it was an extraordinary experience. The curriculum was comprehensive and well-structured, introducing complex concepts in a digestible manner and exceeding my expectations in terms of the depth and breadth of material covered. What set this program apart were the exceptionally knowledgeable advisors. Their expertise and willingness to assist were pivotal in navigating through the challenging components of the course. There was an abundance of support available, ensuring that every student could succeed despite the rigorous demands of the syllabus. The interactive sessions, practical projects, and continuous feedback mechanisms contributed significantly to my learning and confidence in applying data science principles. I highly recommend this program to anyone looking to deepen their understanding of data science in a supportive, high-caliber academic environment. Read less

MIT and Great Learning partnering bring in this course the best of each one. I strongly recommend the course as well the learning methodology. It democratize AI to everyone using no-code tools but also they make a great balance between practical tools and the theory behind the application of different algorithms. In every module they cover very well theory and the practical application with AI tools as well as examples and lectures. The team supporting the learning experience and the assisted learning sessions are great part of the methology. The only recommendation to make is to explain in more detail and/or more slowly some of the operators more frequently used in the AI tools. Thanks to the whole team for the experience. Highly recommendable Read less

I recently completed the MIT Applied Data Science Program and I am thrilled to share my experience, which was both challenging and incredibly rewarding. This program is meticulously designed to encompass all facets of data science, offering a robust blend of theoretical knowledge and practical application.One of the standout features of the program is the comprehensive curriculum that spans the entire data science landscape. It covers essential topics such as statistical analysis, machine learning, data visualization, and big data technologies. Each module is crafted to ensure that students not only learn the theories but also understand how to apply them in real-world scenarios. This dual approach equips students with the tools necessary to tackle complex data problems effectively.The weekend mentor learning sessions were a critical component of my learning journey. During these sessions, experienced mentors translated theoretical concepts into practical tasks that mirror real job-related challenges. These interactions were invaluable as they provided insights into the practical implications of our learning and prepared us for real data science roles.Admittedly, the program is time-consuming and requires a significant commitment. The coursework is rigorous, and the learning curve can be steep. However, the effort is well worth it. The skills and knowledge I gained have not only boosted my confidence but have also opened up numerous career opportunities.For anyone considering a career in data science, the MIT Applied Data Science Program is a formidable choice. It's a challenging journey, indeed, but the payoff is immense—preparing you not just to enter the field, but to excel in it. Read less

Having left College a while ago with few 1-2 Day programs in- between, this was quite a roller coaster ride, course material, teaching methods, assessment methods, absolutely on point, support is available, though I barely used them because the whole program is organized. Not to mention real world/industry case studies, Masterclasses, practice sessions. 1 other thing to make a note, I used a normal Intel celeron notebook for the whole program..though I recommend a higher Spec device. The Mobile experience was just as seamless, I can learn on the Go.  Read less

Upon joining the program, I was excited yet slightly apprehensive about what lay ahead. However, the structured curriculum and supportive environment quickly put me at ease. Each module felt like unlocking a new realm of knowledge, but there were a few that truly resonated with me. For instance, the module on Classification and Hypothesis Testing not only deepened my understanding but also ignited a newfound passion within me. I found myself fully immersed in the subject matter, with the provided resources proving invaluable, and the flexibility to learn at my own pace greatly enhancing my experience.  The hands-on projects were undeniably the highlight of the program for me. They provided practical experiences that I know will be instrumental in my future endeavours. Being able to apply theoretical concepts to real-world scenarios not only enhanced my problem-solving skills but also boosted my confidence in my abilities.  Furthermore, I was deeply impressed by the unwavering support and mentorship provided by the instructors. Their passion for teaching was evident in every interaction, and their willingness to go above and beyond to ensure our success was truly commendable. 

In conclusion, I extend my deepest thanks to the entire team behind the Data Science and Machine Learning program for their dedication and commitment to empowering learners like myself.  Read less

I am a current student in MIT's No-code AI through Great Learning. The experience has been great with a combination of online content and live weekend sessions. What I really enjoyed was the online content that was available over on month before the session started! I have two weeks left but it has been a fantastic experience so far. I highly recommend taking this through Great Learning! Read less

From the get-go, these courses distinguish themselves with a clear, structured approach to teaching. The curriculum is thoughtfully designed to build upon each concept progressively, ensuring that beginners can find their footing while seasoned practitioners can refine and expand their expertise. The courses cover a broad spectrum of topics, from the fundamentals of data manipulation and analysis to the intricate workings of advanced machine learning algorithms.
What sets this series apart is its commitment to practical, hands-on learning. Students are not just passive recipients of information; they are actively engaged through real-world projects, interactive exercises, and coding challenges. This approach not only solidifies theoretical knowledge but also enhances problem-solving skills and creativity in applying machine learning models to tackle complex issues.
The instructors deserve special mention for their expertise and passion for the subject. Their ability to break down complex topics into digestible, engaging lessons is commendable. They are not just educators but mentors, providing guidance, feedback, and support throughout the learning journey.
In conclusion, "Data Science and Machine Learning: Making Data-Driven Decisions" is a robust online learning experience that empowers students with the skills and knowledge to excel in the data science field. It balances theoretical depth with practical application, making it an invaluable resource for anyone aspiring to harness the power of data and machine learning in their professional journey. Whether you're starting from scratch or aiming to enhance your skill set, these courses offer a comprehensive, engaging path to mastering data-driven decision-making. Read less

I’m a senior manager working full time . Wanted to learn AI / ML and chose to go with No code AI ML course from MIT delivered in association with Great Learning.

I consider this one of my best decisions. Working full time in a demanding role and trying to learn a new skill I thought would be overwhelming. However Great learning and MIT made it easy to navigate and add this new skill in my profile.

Thank you MIT and Great Learning. Read less

Mid 2023, I shared with a friend a keen desire to take my data analytics skills to a new level having mastered Ms Excel as an advanced user, Power BI DAX, SQL and also did some programming in Python. He recommended MIT Data Science and Machine Learning offered by Great Learning. I enrolled with the full knowledge that I was starting an amazing journey of learning with recognised academic professors and industry experts. The perfect blend of theory with practice was an awesome recipe for mastery. I would say I have hone my skills incredibly in the predictive power of data. 
The training exposed me to the endless possibilities and power of data, processed with the right tools and domain knowledge to achieve:

•  the right classification
• provide continuous quantity prediction through linear regression,
• how recommendation system helps business personalise products and services for their customers
• the incredible power of neural networks in the fields of image recognition, speech recognition, natural language processing, etc. There were lots of hands-on exercises and projects to solidify and reinforce learning. I particularly love the feedbacks I got from the project assessments. They testify to the keen attention to details by the Faculty at Great Learning to the growth and development of their students. I got loads of reusable codes which will be invaluable in my next projects. I will conclude my saying, I am well equiped and well placed to advance my skills from here and secure a job as a Data Scientist, as a I seek a career pivot. I will not forget to offer a big shoot-out to the great support and prompt response from their amazing team of program managers. Awesome team.

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Clear and precise lessons. Precision and complete explanations. All the speakers helped in the success through the easy understanding of complex concepts.
The questionnaires and projects made it possible to properly integrate the different concepts. I've been doing machine learning and econometrics for a while (25 years since my degree in econometrics), I have followed numerous webinars and update training. I did this training to better understand the mastery of NoCode tools (customers are increasingly requesting projects with this type of solution). However, this is the first time I have seen such a clear and understandable course on the field. Even with no knowledge of machine learning, a person can quickly understand the techniques.
A real gem of training, well structured and complete.
I highly recommend this training for anyone wanting to do AI without getting into programming.
Many thanks to Great Learning and MIT. Read less

The program was well paced and the leaders were very available for any questions and concerns that one had prior and during the program. The support system with support classes and mentor sessions, plus the recorded lectures, and the weekly meetings really made the experience a positive one and it shows that the purpose is for one to come out the other side with as little doubts and as confident as possible Read less

I recently completed the No Code Artificial Intelligence course implemented by Great Learning, offered in collaboration with MIT, and I'm thoroughly impressed. The program's practical approach to AI, combined with intuitive no-code tools, made it highly accessible and engaging. The curriculum was well-structured, blending theory with hands-on projects that facilitated a deeper understanding of AI concepts. Great Learning's platform provided an excellent learning experience, with easy-to-follow materials and support. This course has significantly boosted my confidence in leveraging AI for various applications without the need for deep programming knowledge. Highly recommended for professionals seeking to integrate AI into their skillset.  Read less

As an IT manager and self-employed individual, I'm always seeking innovative solutions to better serve my customers. I enrolled in this bootcamp to enhance my services by integrating AI and ML into my existing no-code tools for SMBs.Overall, my experience was exceptional. The online platform was well-organized and exceeded my expectations. The curriculum covered all necessary topics, with helpful resources provided.The instructors and support team were outstanding, providing constant guidance and hands-on assistance throughout the bootcamp. The built-in forum facilitated valuable networking opportunities with fellow students.Career preparation support was excellent, offering resources for job search and expert CV/resume review. The practical value of the course far exceeded its cost, with immediate application of learned concepts.In conclusion, I highly recommend this bootcamp to anyone looking to upgrade their tech skills and advance their career. Read less

Completing the 7-month Post Graduate Program in Artificial Intelligence and Machine Learning at the McCombs School of Business, partnering with Great Learning, was a wonderful learning experience. The curriculum was both accessible and challenging, covering a breadth of topics from Python foundations to advanced applications in Computer Vision and NLP, including cutting-edge technologies like ChatGPT and other generative AI technologies. The program emphasized hands-on projects, providing a practical understanding of AI and ML and included robust support from the Program Manager. The mentor-led sessions were invaluable, offering insights from industry practitioners.  I liked the flexibility of online learning with weekly quizzes and deadlines, combined with lived mentor-led sessions. This program not only honed my technical skills but also enhanced my ability to understand and build AI and ML solutions. I highly recommend this program to anyone aspiring to delve into the AI and ML domain, seeking a blended approach of self-paced, learning videos, written resources and a mentor-driven learning experience. Read less

I had a excellent time in the applied data science program from MIT/Great Learning. I was very much new to ML and want to understand the basic idea about what to learn and i got most of the information that i need in 3 months. They had excellent live classes and mentor learning sessions which i loved it every week. 
They had lot of materials to read and lot of case studies which was very helpful in understanding the basic math/ python libraries and ML algorithms.  Read less

Taking advantage of Great Learning's online technology classes was a turning point for my professional development and upgrading.
Great Learning has an excellent methodology and organization for professionals interested in learning new technologies.
I feel very lucky and it went far beyond my expectations.
Grear learning is a great option to learn. Read less

The MIT-Great Learning Advanced Data Science program helped me accelerate my learning journey;. Below are some of the key highlights
1. Preparation: The prerequisites coursework available to students without a statistics or programing background are amazing and get you prepared to get the most of the course. Even though I had this background a refresher certainly helped
2. Theory to Practice: The format of the course is excellent. We had amazing MIT Faculty go through concepts in the week and you have industry mentors that help you re-enforce it and bring you into the practical aspects of programing and analyzing on the weekend sessions. This is truly in line with MIT Motto of 'Mens et Manus' (Mind and Hand)
3. Support & Infrastructure: The Great Learning Olympus portal and the program management staff are excellent, accommodative and helpful all along, which made the administrative aspect of accessing excellent course content, managing assignments and seeking support simple and effective.
Overall, I would highly recommend this course to both engineers, tech leaders and business strategy leaders. For me personally, I hope to take this learning to build out the AI/ML strategy in my organization.  This is a journey and there is a lot more to learn, but this course sets you up for it well. Read less

I recently attended this course and close to completion now. I am very happy with the way this course structured, good amount of course materials along with videos, case studies, assessments and assignments. It is a 3 months course and a program manager who helps navigating you through the course and clears out any blockers you may face in between. Mentors are very experienced and hands-on sessions are helpful. Towards the end of the course you gain a good amount of knowledge on basics to advanced in AI and ML and get hands-on with tools like Rapidminor and Dataiku.  Read less