Great Learning

I came into this program as a beginner. After having just completed this program, I can say this isn't a program that one can coast by simply attending weekend classes. For a beginner, it will take a lot of time commitment and efforts on a regular basis, however the learning is worth it.. For me personally, it gave me comfort about AI topics and being more hands on. 

The course was well-paced with clear mentoring and deadlines. The course is primarily delivered by esteemed professors from MIT, supported by mentoring sessions with industry practitioners who provide practical insights into real-world applications of the topics. A special shoutout to program manager Jasper Gill, who was incredibly easy to communicate with and resolved any questions promptly, keeping us informed about upcoming deadlines and course-related communications.

Overall, I highly recommend Great Learning in collaboration with MIT and look forward to taking more courses with them. Read less

I am a beginner in the topic, and wasn't sure how the program will be structured and delivered. However I am pleasantly surprised by how well the course contents were structured to cater to both absolute beginners as well as experienced professionals in Python/Statistics and advanced topics like DataScience and ML. The contents were of very high quality and very well researched along with external references that can satiate the more curious minds. Initially I thought 12 weeks was a very tight schedule given the complexity of the topic, but the course was very well paced with clear course mentoring and deadlines.

The course is mostly delivered by esteemed professors from MIT, and is supported by mentoring sessions from industry practitioners with practical experience to give us a flavor of how the topics will be applied in real world production systems. The contents delivered by MIT faculty is pre-recorded but were so well organized with elaborate detail that I didn't find a need to approach any of the faculty nor program office to clarify questions. We had weekly mentoring sessions wherein the faculty from Great Learning would do detailed code walk-through on real life projects and explain in detail the internals of models and techniques implemented to build and analyse real-life case studies from scratch. The program has a Hackathon towards the end which is a culmination of all the learnings in the course which is a very fun way to consolidate all the content.

Additionally, applicants had access to an active chat room where we could post questions on contents or any technical difficulty and will be promptly clarified by the program managers. Applicants are provided access to utilize resume building help as well as career mentoring sessions through their Excelerate program. 

Big shoutout to the program manager Jasper Gill who was super easy to communicate and resolve any questions any time of the day without any delay. He was on top of communicating upcoming deadlines and any course related communication.

Overall would highly recommend Great Learning in collaboration with MIT and would surely look forward to do more with them. Read less

I highly recommend Great Learning's "Data Science and Machine Learning: Making Data-Driven Decisions" course for professionals and organizations looking to harness the power of data to drive strategic decisions. As a Digital Transformation expert and CTO of Kopar S.A. de C.V., I have firsthand experience with the transformative impact of data-driven strategies on business operations and growth.

Great Learning has designed this course to provide a comprehensive and practical understanding of data science and machine learning principles. The curriculum is meticulously crafted to cover essential topics, including data analysis, statistical modeling, machine learning algorithms, and data visualization techniques. What sets this course apart is its focus on real-world applications, ensuring that learners can immediately apply their knowledge to solve complex business problems.

The instructors are industry experts who bring a wealth of experience and insights, making the learning process engaging and impactful. Their ability to break down complex concepts into digestible modules is commendable, fostering an environment where even those new to the field can grasp advanced topics with ease.

One of the standout features of this course is its emphasis on making data-driven decisions. In today’s competitive landscape, the ability to analyze data and extract actionable insights is invaluable. This course equips professionals with the skills to leverage data effectively, driving informed decisions that can significantly enhance operational efficiency, customer satisfaction, and overall business performance.

Additionally, my personal adviser, Jasper, was incredibly helpful throughout the course. He was always available and supportive, providing invaluable guidance and feedback. Jasper's dedication ensured that I fully understood the course material and could apply it effectively to my work at Kopar. His personalized attention and commitment to my success made a significant difference in my learning experience.

Furthermore, the course includes hands-on projects and case studies, allowing learners to work on real-life scenarios and build a robust portfolio of practical experience. This experiential learning approach not only reinforces theoretical knowledge but also prepares participants to tackle real-world challenges confidently.

For any organization aiming to stay ahead in the Industry 4.0 era, investing in this course is a strategic move. It will empower your team with the necessary skills to unlock the full potential of your data, fostering innovation and competitive advantage.

In conclusion, Great Learning's "Data Science and Machine Learning: Making Data-Driven Decisions" course is a valuable investment for anyone looking to master data science and machine learning. Coupled with the exceptional support from advisers like Jasper, it is an excellent resource for driving digital transformation and achieving sustainable growth through data-driven decision-making. Read less

I just finished the Data Science and Machine Learning: Making Data-Driven Decisions program delivered by Great Learning based on MIT material. The program has excellent content that skilled trainers greatly deliver. The training has excellent use cases delivered step by step so the student can understand the methods executed. Read less

Instruction from MIT faculty is amazing and great for understanding the concepts, and the guidance from industry professionals was an excellent way to be introduced to industry standard practices for implementing them to solve real world problems. Furthermore, the GreatLearning staff and administration are super helpful, supportive, and want to see you succeed. My program manager, Jasper, was very understanding when I had a computer problem that prevented me from submitting a project, he helped me to both solve the issue and get my project evaluated so I wouldn’t fall behind. Read less

The journey throughout this course was a great learning experience with instructor providing materials, quiz, handouts and project to enhance the learning skills about the subject. My mentor Jasper Gill, communicated the program updates, followed up if we had a question or concerns. provided support at every step. 
I recommend more individuals to join this course to up-skill themselves. Great Learnjng has an awesome platform where you can access all the training modules with ease. 
Thank you for helping me throughout this learning nourney of mine.  Read less

I appreciated the quality of the pre-recorded classes by the MIT faculty. The course starts very heavy on math, algebra and statistics and then winds down to easier mini-courses that are progressively less about mastering the software and more about the practical aspects of AI/ML. Please bear in mind that the MIT portion of this course is all pre-recorded. Mentored sessions are not with MIT faculty, but still are lead by highly achieved AI professionals from across the globe. The assesments and projects are also quite easy and they give you the option to take a more challenging approach in case you want t push yourself a bit further.

Overall, I have no regrets about my decision of taking this course, and I enjoyed my learning experience from start to end.  Read less

The Data Science certificate program from MIT IDSS and Great Learning was an amazing experience! Learning from the minds of MIT faculty, true leaders in data science research, was incredible. The program provided a fantastic foundation in data science through engaging projects and case studies. The flexible online format was perfect for my busy schedule, allowing me to learn at my own pace but the assignments kept me accountable.

I was particularly impressed by the machine learning and neural network lessons. They struck the perfect balance between technical depth and accessibility. The instructors provided a clear and comprehensive introduction to these complex topics, making them understandable even for tho
se with a limited background. At the same time, the lessons offered plenty of opportunities for deeper exploration. The optional content, including advanced readings and challenging problems, allowed me to push myself further and delve deeper into areas that piqued my interest. This program truly catered to both those seeking a solid foundation and those hungry for a more rigorous challenge. Read less

No core AI/ML certification program is as well-organized as this one. First, the professors provide a great set of video lectures. These lectures explain the fundamentals and concepts very clearly. The lectures are followed by an excellent set of notes. Any parts that are not clear can be learned from the notes. Interactive mentor sessions further enable us to grasp the concepts. Hands-on sessions in DataIKU provide a practical experience in solving problems in each course. Finally, the programming manager keeps track of our progress very closely. If there is a gap, she alerts us very quickly so that we can stay focused and keep up with the course pace.

I would highly recommend this program to anyone who intends to learn AI/ML techniques. Read less

 I am currently about to finish the "No Code AI and Machine Learning" course. I love everything about this course; the platform, the mentored learning sessions, the virtual classes for each module, the material, the professors, and specially the support received by the PM assigned to my group, Juhi Gupta, who has gone above and beyond to guide us and provide especially an amazing assistance with kindness and professionalism.
I personally recommend this course and any provided by Great Learning as the experience I had with them has been super helpful and meaningful for my professional growth.  Read less

I found this course to be excellent and perfectly aligned with my personal and professional development.  The material and instructors walk through the basics towards more in-depth concepts allowing the ability to build on a good foundational knowledge.  

I found the pace to be very reasonable and the delivery to be exceptional.  Above all, the support provided by the Great Learning Program Advisor (Juhi) is second to none - keeping me engaged with the class, informed of upcoming deadlines and most importantly, extremely quick at answering any questions or concerns.  Read less

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