Great Learning

The course was, by far, the most intensive on-line course I have ever been a part of. The course provided the depth of knowledge required to enter the field of data science and business analytics. I found the learning facilitators to be excellent and... Read More they provided the guidance needed for first time data scientists.

The time commitment required was significant but necessary to learn the numerous and diverse agenda of learnings.

I found the course assignments to be relevant to real world issues and by completing them I can apply them to real work scenarios.

Overall, this was a very challenging course but I feel was worth all of the effort based on the amount of knowledge I am walking away with.

A 10 out of 10 in my book!

I can confidently say that the “Applied Data Science Program:
Leveraging Al for Effective Decision-Making”, has been one of the best learning experiences of my professional career. The live sessions, practical examples, and personalized feedback made even... Read More complex concepts easy to grasp. The curriculum was comprehensive and well-structured. I look forward to continuing courses with Great Learning to further my professional career.

Pros:
1. Comprehensive Curriculum: Covers the entire data science lifecycle — from EDA to advanced ML techniques — with real-world business problems.
2. High-Quality Instruction: Well-structured content, clear explanations, and detailed guidance from MIT... Read More IDSS instructors.
3. Hands-On Projects: Multiple industry-style projects (classification, clustering, recommendation systems) build practical skills.

Cons:
Limited Peer Interaction: Discussion forums exist but could be more active for collaborative learning.

​The Post Graduate Program (PGP) in Data Science and Business Analytics, a collaboration between Great Learning and the McCombs School of Business at the University of Texas at Austin, is a comprehensive online program designed for working professionals... Read More seeking to transition into or advance their careers in the data-driven world. Having recently concluded the six-month program, this review offers an in-depth look at its key components, overall value, and effectiveness in meeting its promises.

​A Hands-On and Comprehensive Curriculum
​The program's greatest strength is its practical, hands-on curriculum. Unlike purely theoretical courses, this PGP is structured around a "learn-by-doing" pedagogy, incorporating multiple real-world projects, case studies, and a capstone project. The curriculum covers foundational topics like statistics and data visualization before moving into more advanced areas such as machine learning and generative AI. Students are taught to master industry-standard tools and languages, including Python and SQL. The integration of Generative AI applications is particularly valuable, equipping students with skills in cutting-edge areas like prompt engineering and large language models (LLMs).

​Exceptional Mentorship and Support
​A significant highlight of the program was the personalized support and mentorship. Students benefited from weekly mentored learning sessions led by practicing data scientists and analytics experts. These sessions were crucial for clarifying complex topics and applying concepts to real-world scenarios. In addition, the support team, including dedicated Program Managers, were very proactive and responsive. This level of support ensured a smooth learning journey and helped students navigate the demanding nature of the program.

​Strong Career-Focused Outcomes
​The program is explicitly designed to drive career transitions and growth. The program's career services, which include one-on-one career mentoring, resume building, LinkedIn profile reviews, and mock interviews, are commendable. The focus on building a strong portfolio of projects is a major advantage for job readiness.

​A Demanding but Rewarding Journey
​While the program is highly effective, it is not without its challenges. The intensive, six-month duration and the heavy workload can be demanding, especially for working professionals balancing a full-time job. I particularly found it difficult to dedicate enough time to practice and assignments, emphasizing the need for significant time management and commitment. However, this rigor is also what makes the program so rewarding, ensuring that graduates are well-equipped with the skills needed to succeed in a competitive job market.
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Final Verdict
​The Great Learning Post Graduate Program in Data Science and Business Analytics is an excellent and highly recommended investment for anyone serious about a career in data. The program successfully blends academic rigor from a top-tier business school with practical, industry-relevant skills. While it requires a substantial time commitment, the quality of the curriculum, expert mentorship, and robust career support make it a valuable and transformative learning experience that delivers on its promise of career growth and professional readiness.

This program is fantastic, especially if you’re excited about diving into Data Science and learning how it applies to real-world situations. I think it’s great for anyone with that curiosity! As for the downside, just be ready to roll up your sleeves... Read More and work hard.

"The MIT IDSS Data Science and Machine Learning: Making Data-Driven Decisions course, offered in partnership with Great Learning, presents a unique opportunity to develop essential professional skills and apply data insights. It is undoubtedly a worthwhile... Read More investment. Individuals interested in AI, ML, and data science must enhance their ability to keep pace with the rapid adoption of new technologies. The course offers a fast-paced and well-structured experience that fully engages students in critical subject matter. I believe that peer interactions, group discussions, and industry-led mentoring are vital for gaining problem-solving insights, clarifying uncertainties, and learning the most effective methodologies in the field. Students are required to complete project assignments and engage in practical activities, including analyzing various case studies. Overall, it is an excellent learning opportunity provided by Great Learning."

The "Data Science and Machine Learning" program by MIT IDSS is a top-tier course for beginners. It successfully demystifies core ML concepts like linear regression, clustering, tree-based models and neural networks. The true strength of the program lies... Read More in its hands-on projects, which bridge the gap between theory and practice. After completion, I feel confident in my understanding and ready to apply what I've learned in my field. An excellent and worthwhile investment.

The class lessons are Modular, organized and ensure that anyone who is truly invested and motivated in learning their topic of interest gets a system that is easy to approach and understand. I enjoyed learning with them and their curriculum since they... Read More provide ways to apply their understanding in practical user cases.

I found only pros. I loved and enjoyed the whole course content. I learnt interesting concepts. Overall I felt enlighten. I know there is so much more to follow after this introduction. I will be taking up another short course shortly with Great Learning.... Read More Thank you.

My experience with Great Learning has been both highly informative and extremely valuable. The program offered practical skills, real-world insights, and structured guidance that have directly supported my professional growth and job search. I feel more... Read More confident and better prepared to navigate opportunities in my field thanks to this experience.