Great Learning

I recently completed the Applied Data Science Program: Leveraging AI for Effective Decision-Making offered by Great Learning. The program curriculum is thoughtfully designed, covering a comprehensive range of topics including Python programming, Statistics,... Read More Machine Learning, Deep Learning, Recommendation Systems, and Generative AI. The content is both rigorous and industry-relevant.

The professors and mentors explain complex concepts in a clear and structured manner, making it easier to understand and apply them effectively. The inclusion of real-time projects significantly enhances learning by offering practical exposure, which is invaluable for building a strong foundation and advancing one’s career in data science.

One of the standout features of this program is the involvement of MIT professors, whose teaching quality is truly top-notch and aligned with the latest market trends. Additionally, the weekend mentorship sessions are highly interactive and focused on addressing individual student queries, ensuring no one is left behind.

A special mention goes to our project manager, Parichita, who played a crucial role in managing our batch. She was extremely supportive, always approachable, and handled student concerns with great patience—even accommodating our work schedules whenever needed.

Overall, this program stands out as one of the best in the current market, offering exceptional value when compared to similar programs from other institutions.

I enjoyed the MIT Applied Data Science Certificate program and recommend it to anyone seeking an introduction to key data science topics. The weekend mentor sessions were especially helpful for live Q&A, and the capstone project let me apply what I learned.... Read More The flexible format made it easy to balance with full-time work. Great option for working professionals.

The program gives anyone interested in getting to know the basics of data science and AI a great starting point. Not only does it cover the basics of data science using Python, the course takes a holistic approach in the fundamentals of data analysis,... Read More regression analysis, decision tree, machine learning, deep learning and recommendation systems to a point where the user can apply what they've learned to various everyday problems.

Pros: The online format provided flexibility around my work schedule and the compulsory weekly mentored learning sessions created the structure I needed to keep going. For the cost of the program, I got a lot of value from the curriculum. Also, I love... Read More that each new module built on what was taught in the previous modules and the business cases were quite relevant to the workplace.
Cons: The data science curriculum is really packed and requires a lot of practice to be able to master creating models and performing analyses. I think it might be helpful to manage expectations in future for new enrollees that the low code pathway is available to accommodate those without prior programming experience.

Overall, I’m glad I enrolled in the program as it contributed to me securing a new job.

Enrolling in the Post Graduate Program in Data Science and Business Analytics with Great Learning while working a full-time job was one of the most intense yet rewarding decisions I’ve made. I worked Monday to Friday during the day, and every evening... Read More was dedicated to studying the course material to ensure I was prepared for the Saturday mentor-led sessions.

The structure of the program is well thought out—each module builds on the last, and the curriculum covers a solid mix of data science fundamentals, business analytics, and real-world applications. The mentor sessions stood out as a major highlight. Great Learning brings in knowledgeable, industry-experienced professionals who not only teach but also share practical insights. These live sessions helped clarify complex concepts and reinforced what I studied during the week.

That said, it wasn’t easy. The time commitment is significant, especially for working professionals. There were weeks when balancing work, study, and personal life felt overwhelming. While the support system is there, you need to be proactive, asking questions on the forums, attending doubt-clearing sessions, and managing your time wisely.

In the end, the program delivered what it promised. I gained hands-on experience with tools like Python and machine learning models, and I now approach business problems with a data-driven mindset. If you're self-disciplined and looking to pivot into data science or upskill in analytics, this program through Great Learning is worth the effort.

The AI/ML course from Great Learning was definitely worth it. The domain knowledge is well organized and clearly presented, the platform is excellent, and the faculty is top notch. Tutors and Project Managers provided outstanding, flexible support and... Read More were always eager to help. It does require serious effort and dedication—but the learning payoff is real.

I am very satisfied with this course! It provided a comprehensive understanding of how to apply Data Science methods and Artificial Intelligence for effective decision-making. The organization of the educational process is of a high standard, with engaging... Read More lectures and practical sessions with mentors that greatly enhance the learning experience. The course includes a wealth of well-structured material, with everything explained gradually from simple to complex concepts, and reinforced through hands-on practice. The course is led by professionals in the field, which adds to its credibility and quality.

Practical projects are especially valuable, allowing students to consolidate their skills. The assignments are thoughtfully designed; for example, the input data is carefully selected so that students can analyze the results and experiment with different solutions. Overall, the course is highly recommended for anyone interested in developing their Data Science and AI skills, as it combines clear explanations, practical insights, and high-quality content tailored for effective learning.

Pros
Well covered industry topics and applications
Projects to help get hands on real world scenarios

Cons
Live session needs to be more engaging rather run through slides
Career mentoring and resume prep can be better with dedicated sessions.
Program support... Read More when apps or codes don't work should be available

Enrolling in the Data Science program with Great Learning has been a transformative experience. The curriculum strikes the right balance between theory and real-world application, making complex concepts accessible and practical. The support from MIT... Read More Professors, experienced Mentors, and dedicated Program Managers was instrumental in keeping me motivated and focused throughout the journey. This program has expanded my career outlook and given me the confidence to pursue opportunities in data science. I highly recommend Great Learning to anyone looking to upskill or transition into this exciting field.

I'm pleased to announce the successful completion of the MIT Apply Data Science Program: Leveraging AI for effective Decision Making. Having a background in programming and having undertaken various learning experiences, I can confidently say this program... Read More stands out as one of the most comprehensive and well-rounded courses I've encountered.
The curriculum provided a holistic understanding of AI and machine learning and deep learning concepts, with particular emphasis on practical applications. A significant highlight was the MIT teacher’s lectures, which profoundly deepened my comprehension of the material. Furthermore, the active support from moderators, who are themselves industry experts, was invaluable. Their willingness to clarify doubts and provide insightful suggestions for further learning significantly enriched the experience. The mentors review sessions also offered unparalleled guidance and reinforcement.
The course masterfully covered a wide array of topics, demonstrating how machine learning and deep learning can be applied to solve real-world business challenges. These included data visualization, data exploration, the application of NumPy and Pandas, Exploration of data analysis like PCA, MDS, t-SNE and various algorithm training methods on Supervise and Unsupervised leaning, clustering including Hierarchical, K-Means, DNSCAN, Gaussian, Decision Trees, Random Forests, and Time Series analysis and much more. The deep learning segment delved into neural networks and recommendation systems, all while addressing concepts of big data. The program effectively showcased the intricate workings of AI and its practical implementation in various business contexts. Despite its intensity and rigor, this course offers an exceptional learning journey that I highly recommend to anyone looking to gain a robust understanding of AI, machine learning, deep learning, Recommendation systems and much more and Become a Data Science decision maker.