Great Learning

The MIT ADSP program stands out for its thoughtful structure, engaging live sessions, and practical approach through projects and case studies. The live sessions are highlight in the overall program and highly valuable to get great understanding of the... Read More foundational concepts.

I recently completed MIT Professional Education's Applied Data Science Program, and I can confidently say it has been one of the most enriching educational experiences of my career. The program's thoughtful structure, combining foundational Python and... Read More statistics with advanced machine learning concepts, provided an excellent learning trajectory.

What truly sets this program apart is its expert faculty lineup. Learning directly from MIT professors was incredible - their ability to break down complex concepts whilst maintaining academic rigour was remarkable. The live virtual sessions were engaging and interactive, making complex topics like neural networks and recommendation systems accessible and practical.

The hands-on approach was particularly valuable. The program doesn't just teach theory - it emphasises practical application through real-world projects. The capstone project, spanning roughly three weeks, allowed me to apply everything from exploratory data analysis to advanced clustering and segmentation techniques on actual business problems. The inclusion of current topics like ChatGPT and Generative AI modules shows how up-to-date the curriculum is.

The support system was exceptional. Having industry mentors provided invaluable insights into how these concepts apply in the real world. The Program Manager was consistently supportive, ensuring we stayed on track with our learning objectives.

What I particularly appreciated was the "low code" approach, making the content accessible while not compromising on depth. The program successfully bridges the gap between theoretical understanding and practical implementation, especially with its focus on using Python for data science applications.

For anyone looking to transition into data science or enhance their existing skills, this program provides an excellent foundation with its comprehensive curriculum, expert faculty, and strong emphasis on practical application. The 16.0 CEUs and MIT Professional Education certificate are valuable additions, but the real worth lies in the knowledge and confidence gained through this well-crafted learning journey.

This course was extremely well structured from top to bottom. The live courses were very informative and having the ability to watch recordings of the sessions (for folks like myself that could not attend live due to work) was super helpful and allowed... Read More me to put in the work to learn on my own time. The mentored learning sessions on the weekends really helped cement and more thoroughly understand the concepts from during the week.

I did not have any background in data science prior to starting this course, but if you have a background in computer science and programming, then you should be able to understand and apply your knowledge to learn the techniques and libraries used for data science. The program faculty provides that foundational understanding of the approaches and techniques used, which helped me understand how data scientists think and work.

Overall this course helped me really learn about Data Science and acquire a skillset which is very important and transferrable in today’s world. The material and tools used throughout the program were truly class and easy to use, allowing learners to focus solely on the material without needing to worry about environment configurations.

I would highly recommend this course to anyone that is looking to learn both conceptual and practical applications of data science. The team at MIT and Great Learning were massively helpful and supportive.

Having completed courses in Data Mining and Data Science in the past, I enrolled in the Applied Data Science Program (ADSP) as a refresher. This program was essential for achieving my goals and reigniting my passion for data science. The well-structured... Read More curriculum and challenging nature motivated me to dedicate my weekends to producing high-quality work. I particularly valued the courses on Deep Learning and Introduction to Artificial Intelligence.

The support from the Program Manager and mentors fostered a strong sense of community. Their quick responses and helpful resources empowered me to strive for innovative, real-world solutions.

Additionally, collaborating with my teammates during mentor sessions allowed us to share our experiences and concerns openly, enhancing our learning journey.

This course was challenging yet rewarding as a pharmacist exploring data science. It’s well-structured, with expert instructors and practical content. Though intense, it deepens understanding and builds confidence. A great choice for beginners or skill... Read More enhancement!

The No Code AI & Machine Learning course by MIT and Great Learning offers a transformative dive into the world of AI and ML. It combines approachable professors, supportive mentors, and seamless materials on a user-friendly platform. This fast-paced program... Read More simplifies complex topics, making it ideal for anyone eager to explore AI tools.

The MIT Data Science and Machine Learning Course runs from September 2024 to January 2025.
It is exceptionally well-structured to ensure students gain a deep understanding of the subject. The course includes numerous lectures, but they are carefully organized... Read More to be easily digestible.
It covers a comprehensive range of topics, starting from basic statistics and fundamental machine learning models to deep learning, ChatGPT, and generative AI, offering a thorough overview of key areas in modern data science.
I truly enjoyed this course because it gave me a clear, holistic understanding of data science as a field. While grasping the fundamental theories and core principles can be challenging, I found that going through these basics is essential for achieving a deeper comprehension of modern data science practices.
Among all the topics, I found deep learning the most fascinating. There is so much more to explore in this rapidly evolving field.
For anyone looking to master data science, I highly recommend this course!

I'm enrolled in the Set24/Jan25 MIT-IDSS program: Making Data-Driven Decisions, delivered by GreatLearning. On December 23rd, 2024, I submitted my final mandatory requirement for the program.
This has been, by far, the best online educational experience... Read More I've had. I've rated it 5 stars for numerous reasons, and I'd like to highlight a few key aspects.
1-) The program's support system exceeded my expectations. The assigned Student Program Manager was exceptionally helpful, ensuring all student queries were addressed effectively and promptly, not just mine. This was a major contributor to making my experience so remarkable.
2-) In addition to the Students' Program Manager support system, I'd like to mention the Program Syllabus, a well-crafted blend of depth, breadth, and practical relevance.
3-) Extra study material available in various forms and media that I can continue to use for years after finishing the program.
4-) The mentored learning sessions offered a unique opportunity to see the practical application of theory and best practices in real-world scenarios.
5-) The course's online platform (Dashboard, Help, etc.) seamlessly integrated me into the learning experience and ensured I was aware of each step of the learning process ahead of time.
6-) The total availability of the teaching staff to connect with us beyond the course platform, on their own personal time and social media accounts of choice, is something I can't stress enough. Thank you all!

After going through these last 4 months of the program I gained a solid framework for continued self-development by exploring the wealth of available materials, as well as the confidence, and proof, that I'm not alone should I require any additional help henceforth applying the new skills and knowledge in my work. This has been a transformational experience all around, for me.

Since this is how GreatLearning sets things up and runs each of its course offerings, I would highly recommend anyone meeting the requirements to take the program that best matches their interests and go for it, because it's an investment well worth your money, time, and expectations.

The Data Science and Machine Learning: Making Data-Driven Decisions program was the clarity and the portal I needed. Being a self taught analyst who has been lucky to work 8 years on the field now, there is too much noise and too much information online.... Read More This program has the most complete, thorough and detailed curriculum I've ever seen with an unmatchable faculty thanks to Great Learning's partnership with MIT IDSS. The best part has been being able to apply all the knowledge gained into projects that build up a portfolio. It has been challenging and rewarding at the same time. Anyone interested in Data Science, I highly recommend this experience, as Great Learning does its best to set you up for success. Please be mindful of your time management and focus throughout the program, it's totally worth it! Very grateful for this journey

Pros:
- Covers a lot of material, tremendous amount of learning
- Great professors
- Very relevant material
- Great support team at Great Learning. Responsive, courteous, helpful.
- Flexible options for people who want a more coding based curriculum and... Read More those that want more business analysis and less coding

Cons:
- The course moves very fast and requires a pretty large time commitment