Great Learning

Attending the Applied Data Science Program from MIT, delivered by Great Learning, was an incredible experience. The program was led by some of the world’s best professors and provided deep, hands-on learning in data analytics, machine learning, and business... Read More applications.

I was also fortunate to have an amazing program manager who supported me throughout the journey. During challenging times, his guidance and encouragement helped me stay focused and complete the program successfully.

The opportunity to learn directly from MIT faculty and hear insights from global business leaders was inspiring. This program not only strengthened my technical and analytical skills but also gave me a broader understanding of how data science is transforming industries.

I’m truly grateful for this learning journey and highly recommend it to anyone passionate about advancing their career in data science.

The course covers a wide range of data analysis, from basic tools to detailed analysis methods, which is why the course is very packed.
It takes a lot of time, which you should take into account beforehand. It is also advisable to stay on track, as it... Read More is otherwise difficult to catch up on the material. The support is excellent! Whether it's formalities or technical issues. Ultimately, I gained a lot of added value!

With over two decades of product management experience, I was able to kick off GenAI infrastructure and administration for enterprise customers. However, as I delved deeper into business agents and model accuracy, the challenges grew. Without a solid... Read More grounding in Data Science, I found myself over-relying on my data science team and architects, which hindered my decision-making and slowed execution.

Enrolling in the Applied Data Science Program at MIT helped bridge those gaps. Combining data, AI, and my product experience has become a powerful formula for solving industry-scale AI problems.

Be prepared - this program is intense and deeply rewarding. I took the low-code track, which required about 30 to 40 hours per week. It felt like a one- to two-year curriculum compressed into six months, including two months of essential pre-work. Trust me, every bit of effort pays off beautifully by the end of the program!

The Applied Data Science program delivered exactly what I needed. I gained practical experience across different Machine Learning methods through a thoughtfully structured curriculum that progressed from fundamentals to advanced applications. The program... Read More balanced instructional videos and hands-on coding practice with abundant examples, and the instructors were skilled at explaining complex concepts. I've developed foundational skills that are immediately applicable to my work.

Great Learning provides you with all the tools and materials needed to advance your subject knowledge to the extent you desire. There is the perfect balance of challenge and time to complete assignments. With the variety of project materials available... Read More to you, you can choose to do the bare minimum for credit, or you can work through the extra material to get the most out of the program.
Commit to the challenge, you won't be disappointed in this program!

Faculty and staff at both MIT and Great Learning are clearly experts in their respective fields. This was evidenced by engaging, clear and concise lecture which were geared to deliver maximal information in shortest possible time frame. Mission accomplished... Read More for this learner!
In addition to fantastic lectures, course participants were fully supported with supplemental learning, opportunities to clarify topics and enhance the experience.
Mentorship was on point, the objectives and project instructions were clear, concise and facilitated successful completion.
I would recommend this course to anyone as a prime example of getting superlative quality education.

The program was definitely challenging due to my limited experience with coding. However, the structure, the support from the mentors, the lectures and the cadence of the mentoring sessions allowed me to learn and make more progress than I expected!!... Read More using python for data science is an amazing tool and this course allowed me to get started on my journey with confidence!

The structure of the programme held a great balance between live large classes and small mentored sessions. The Olympus portal, tutors and program manager were very accessible for both practical as educational questions. The programme requires some basic... Read More mathematical understanding and helps you along if you’ve never coded before. The different courses really build towards a good understanding of the basics of data science and AI culminating in a capstone project in your field of interest. Highly recommend

Beginner friendly Data Science Program! If you would like to learn about the data science basics, this program will be a good choice to start with. The courses are designed in a highly well-orgainzed order so that you can learn the contents in a good... Read More pace. Highly recommended to take this program in Summer. As a beginner, it's a little bit intensive during the whole program, but after all, this program is worthy to take for a simple start of data science.

MIT's ADS Program through Great Learning will highlight all of the currently relevant (a tall order) practices of AI/ML, provide you with foundational research, and original DS/AI/ML frameworks. Add to that insights from brilliant minds from the Great... Read More Learning and MIT teams. Exposure to these topics, and the MIT/GL foolproof learning format will launch your confidence and ability to build knowledge of AI and its use cases. The program is demanding, but I am impressed by the comparison of what I knew 4 months ago, and where my knowledge is now, near the end of the program. The structure was flexible, mentors were responsive and engaging, and overall this was a highly valuable, quality experience. If you're at all curious, make the commitment, it will be worthwhile for personal and professional growth.