Applied Data Science Program by MIT Professional Education

I was eager to learn coding with python. Cannot forget my wife asking me why "python" and "anaconda" terms, I also wanted to find out. But that was the start of my incredible journey. It was a fulfilling yet challenging experience that pushed my limits, deep into the nights, some interesting dreams, above all insightful. Everything, was making sense after every class. Starting from great roadmap, MIT faculty classes, the mentored classes to fantastic program managers.  I did not have a background in data science, computer science or statistics, or engineering but it all made so much sense. I'm hungrier for more. I can recommend this course a million times. Fantastic team. 

 The MIT Professional Education Applied Data Science Program: Leveraging AI for Effective Decision-Making was an engaging and highly effective program delivered by Great Learning. 
I would highly recommend this program for anyone interested in upskilling for their career ambitions, or those wanting to explore the world of Data Science and Artificial Intelligence for their chosen industry. 
Among the course modules the Foundations for Data Science, Data Visualization, Machine Learning, Deep Learning, and Recommendation systems were some of my favorites. Elective courses in Generative AI and ChatGPT’s development stack were fascinating. 
The course was demanding with its rubric and clear standards of academic progress throughout all modules. High praise goes to Great Learning’s mentor team, ancillary content materials, and support resources. The learning portal is intuitive and organized. The communication from the Great Learning Program Manager, and from the learner portal, kept me motivated and on track to complete the course successfully. 
The shining stars of this program were the M.I.T. professors, the Great Learning mentor teams, and the learner community participating in this innovative instruction. The hands-on labs and real world scenarios the mentors used to illuminate the instruction made the learning compelling, digestible, and assured the absorption of the material.  
This program includes content and instructional approaches that cater to project managers, program managers, coders, and business unit line leaders. The content was outstanding (live instruction, live mentoring, and online course content). The concepts learned will continue to make a difference in our approach at work to improve our speed and efficacy at making critical decisions affecting product development, strengthening customer relationships, elevating our customer experience, and will be invaluable as we navigate future strategy for our organization. 
Warren Samek | Capital Markets Committee Advisor, OpenCRE AI. 

As someone who does not have any background in Python Coding and Data Science, the Applied Data Science Program offered by Great Learning and the MIT faculties is an excellent online program to get my foot in the door and my knowledge and skills up to speed in the field of Statistics, Data Science, Machine Learning, and Python Coding. I cannot understate my appreciations on how intuitive the platform is, how knowledgeable the professors and the mentors are, and how well the program has been organized by the Program Manager - Shubham Chourasia. 
The learning curve was certainly steep for me. However, thanks to various recorded lectures, online sessions, case studies, and hands-on projects. I was able to manage the coursework at my own pace and become well acquainted with the broad range of topics the course was trying to cover. The case studies and hands-on projects provided in the course all had real-life relevance, making them not only very enriching, but also very rewarding to work on. 
I would highly recommend this course to anyone who is looking to acquire new skill sets or to expand their existing ones. 

This program has been a transformative learning experience, offering exposure to real-life use cases, excellent professors and mentors, and comprehensive resources ranging from resume building to advanced AI models. The curriculum effectively bridges the technical and business aspects of artificial intelligence, providing a balanced understanding crucial for industry success. The capstone project and final presentation simulate real-world scenarios, preparing students for business challenges. With flawless coordination and engaging methodology, I highly recommend this program for anyone looking to advance their career in AI. It has been instrumental in building a new chapter in my professional journey.

I love the professors, particularly John Tsitsiklis and Abhinanda Sarkar. I like the curriculum that explains topics step by step, so at the end you have a full picture in your mind. The crew members also do great job. I want to mention my previous project manager - Shikha - and my current, Shubham - they also do a great job. I would recommend this course to peers, definitely. 

The course was very well structured, covering from basic statistics and Python, classic machine learning, to some of the more trendy and advanced models. For me the first part was very helpful because on-the-job training sometimes skipa the theory behind and one uses the tools without understanding the assumptions, which can lead to an erroneous application. So the fact that the course offered pre-course materials of the very basic things was really really nice. The mandatory homeworks and weekend practical sessions with industry mentors were also very helpful to ensure that the student understands and can apply the course content to real life problems. If this was not mandatory, I would not have prioritized learning and would not have finished the course. The readiness of the mentors to teach us was also very motivating and being able to ask questions in depth and also learn from other students' questions added to the learning experience. The learning platform was again very informative with a lot of practice problems, datasets, example codes, and optional videos explaining the codes that really helped me do the homeworks. The last part of the course was too advanced for me and I didn't see any immediate application in my current work situation, so I didn't get a very good grasp of it, but overall I definitely learned a lot and would highly recommend to whoever would like some practical exercises and theoretical understanding. 

Honestly, a game-changer in several key points, to me a perfect blend of top-quality content, an awesome and gentle learning curve, and just the right care from the program manager. It has been an important door I have opened in my career along with GL.I have found quite rich the extra material provided as well as the evaluations, though they are agile and short, previously there is a lot of friendly mini quizzes to teat your knowledge as you make progressThank you all the team.

As am about to complete the MIT Data Science Program, offered through the Great Learning online platform, and I must say, it exceeded all my expectations. This program is a remarkable blend of theoretical knowledge and practical application, tailored perfectly for anyone aspiring to make a mark in data science.
The curriculum, designed by MIT's esteemed faculty, is comprehensive and up-to-date with industry trends. It covers a wide array of topics, including machine learning, deep learning techniques, and artificial intelligence, ensuring a well-rounded understanding of data science. The hands-on projects and real-world case studies were particularly beneficial, allowing me to apply theoretical concepts to practical scenarios.
The online learning experience provided by Great Learning is seamless and interactive. The platform is user-friendly, and the support from mentors and peers is phenomenal. The flexibility to learn at my own pace while balancing work commitments was a significant advantage.
Furthermore, the program’s focus on career support and networking opportunities is commendable. The career services team provides valuable guidance on resume building, interview preparation, and job placement, which is crucial for transitioning into the data science field.
Overall, the MIT Data Science Program through Great Learning is an excellent investment for anyone serious about advancing their career in data science. The combination of MIT's academic rigor and Great Learning's robust platform creates an unparalleled learning experience.I highly recommend it!

The Great Learning MIT ADSP program exceeded my expectations in every way. The live lectures and mentors struck a perfect balance between theory and practical use cases, ensuring a comprehensive understanding of the subject. The pacing was just right, allowing for thorough articulation of concepts without feeling rushed. The learning portal was intuitive and resource-rich, making it easy to keep up with the coursework.What truly set this program apart were the enthusiastic MIT professors, mentors who shared their practical experience and the program manager, Dr. Ruchi. Their dedication and expertise created a fantastic environment for learning, always ready to provide support and guidance. Their approach made complex topics accessible and engaging, fostering an atmosphere of growth and curiosity.Overall, the Great Learning MIT ADSP program is a remarkable blend of rigorous academic content and practical application, supported by an outstanding team of mentors. I highly recommend it to anyone looking to deepen their understanding of data science and analytics.

I enrolled into the Applied Data Science Program by MIT on the Great Learning platform, and it was an incredible experience. The hands-on projects were fantastic, giving me real-world scenarios to apply what I learned, making the whole course so much more relevant. The instructors were top professionals in their field. The platform is intuitive and well designed, making it easy to focus on learning. Communication was excellent too, with quick responses to any questions and great interaction with peers, professors, and program manager. Overall, the practical approach made this a truly enriching experience. I highly recommend it to anyone looking to advance their data science skills. I’m pleased to share my experience.

I am thrilled to share my positive experience with the Applied Data Science Program (ADSP) offered by Great Learning in collaboration with MIT. This program has significantly exceeded my expectations and has been instrumental in my pathway to becoming a competent data scientist.Our program manager was incredibly supportive, addressing our requests and comments promptly. My mentor was highly knowledgeable, patient, and genuinely cared about our understanding. Additionally, top world-class experts from prestigious universities and enterprises greatly enhanced the learning experience.The diverse and motivated cohort of alumni created a rich learning environment and international professional network. The well-structured, practical curriculum with hands-on projects provided a solid foundation in data science. I wholeheartedly recommend this program to anyone looking to improve their abilities and aptitude in data science.

Since before the launch of the program, we were provided with prerequisite courses that allowed me, someone who has never interacted with any coding language, to understand the basics of Python coding language within a couple of days. Since that time, the course manager I was assigned to, Ritin Jhamb has been actively supportive (I was starting to think we were provided with 24/7 support since he has been responding to all queries at almost any given time.). The program provides a variety of different teaching techniques (pre-recorded video lectures, live lectures, live mentored learning sessions, exercises, quizzes, and hands-on projects). The material is delivered in a way that even I, who never had any interactions with coding previously, could grasp all the ideas and concepts. The support system is amazing, very responsive and provides all the necessary help, whether it was code related, technical issues, understanding the course material. Whatever it is you need, they will provide.The only point I would highlight for future students to be aware of, is the pace of the course. Since it is fast paced, I would recommend checking your calendar to see if there will be any time conflicts. I was excited and did not stop to consider that the cohort I joined would be during Ramadan, and the 2 Eids. If you lag behind in course materials, it would be challenging to get back on track.

As a seasoned data analytics and IT leader, I've been through numerous professional development courses, but few have compared to the depth and quality of this program.
The Applied Data Science Program of MIT Professional Education, in collaboration with Great Learning, truly exceeded my expectations. It was advanced, applied, and comprehensive, covering a wide array of topics from supervised and unsupervised learning to time-series analysis, neural networks, recommendation engines, regression, and computer vision. The curriculum, developed and taught by MIT faculty, was not just theoretical but deeply practical, allowing us to apply what we learned to real-world scenarios immediately.
One aspect that truly set this program apart was the abundance of live sessions and interactive elements. These sessions provided invaluable opportunities for hands-on learning, where we could work on industry-relevant projects guided by data science and machine learning experts from around the globe. The mentorship provided by industry professionals was instrumental in challenging our understanding and providing novel, real-world insights.
The challenges presented throughout the program were invigorating, pushing us to expand our skills and tackle complex problems head-on. Moreover, the pre-work component was invaluable in ensuring that all participants were on the same page and ready to dive into the advanced topics covered during the live sessions. The blend of video content, practice quizzes, and interactive assignments provided a solid foundation upon which to build throughout the program.
In conclusion, the skills and knowledge gained through the Applied Data Science Program will empower the participants to make meaningful contributions in the rapidly evolving field of data analytics and AI. I wholeheartedly recommend Great Learning to anyone seeking to advance their expertise in data science and machine learning.

Excellent course for who would like to improve concretely your knowledge in data science and at the same time practice skills. The lectures from MIT professores are ad-hoc, and the greatlearning team provides fast and well-explained post lecture summary to support a better understanding. In the hand-on projects, the mentors have provided clear explanation, and for any technical or conceptual question, after raising a ticket, greatlearning team will provide a fast and helpful solutions or advices. This is an intensive course, there are challenges, but after completing all the steps, I feel a big step ahead in data science, and it leverages my capacity dealing with different data-related topics and the know-how.

The course is a good balance between theory and practical application of that theory. The mentored learning/coding sessions on the weekend were very useful to get to know the libraries and how to apply them to typical problems. Also, the course covered a breadth of things from traditional linear regression to modern deep learning.

As a student in the Applied Data Science program provided by MIT and delivered by Great Learning, I’ve found this course to be incredibly rewarding and transformative for my professional journey in data science. The 12-week curriculum is packed with relevant topics that have enhanced my understanding of AI and machine learning, data analysis, and visualization techniques. The blend of live virtual classes from MIT faculty and weekend mentored sessions with industry experts not only fits perfectly into my busy schedule but also ensures I’m learning the practical aspects of data science.The program’s hands-on approach, especially through the capstone project, allowed me to apply theoretical knowledge to real-world problems, which is a crucial skill in the data science field. The mentors are knowledgeable and engaging, and their insights have been invaluable in deepening my understanding of complex concepts. Additionally, the flexibility offered by the program’s structure means that I could balance learning with my personal commitments without compromising the quality of education.Overall, my experience with the Applied Data Science program has been exceptionally positive. It has significantly boosted my confidence and competence in tackling data-driven projects and has equipped me with the rigorous, practical skills needed to excel in the field. I would highly recommend this program to anyone looking to solidify their expertise in data science while earning a prestigious certificate from MIT.

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! 

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.

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.

 I wish to express my enthusiasm and satisfaction with the educational experience I received in the "Applied Data Science" course. My expectations were quite high, and I am pleased to confirm that they have been fully met. Below are some key points I would like to highlight:

Educational Quality: The lessons were well-structured and focused on clarifying fundamental statistical and mathematical concepts, essential for an in-depth understanding of the subject. The topics covered were presented with a logic of progressive deepening, supported by clarifying examples and a rich bibliography that allowed for further study.

Mentor Support: The mentors demonstrated great expertise in addressing the theory through practical application on exercises and real cases. This approach significantly increased interest and passion for the subject.

Practical Projects: The opportunity to develop "Full Code" projects has greatly enriched my practical skills, especially in using Python for machine learning, allowing me to apply what I learned practically.

Organizational Support: The program manager who followed us played a key role, providing constant and effective support, facilitating a smooth and obstacle-free learning path.

Community and Student Support: The creation of a dedicated channel for students promoted a collaborative and stimulating learning environment, enabling fruitful and constructive exchanges.

Despite work and family commitments, I invested many hours of study, even on weekends, attracted by the richness of the course and my passion for the subject. This effort is already bearing fruit, allowing me to test machine learning models within my organization. I am aware that my growth journey has just begun, but thanks to this course, I feel I have the right tools to continue with confidence.
I highly recommend this course to anyone who is seriously interested in data science, encouraging them to participate actively and enthusiastically.