Great Learning

Joseph has been a driving force for me to get engaged with the Learning of DS&BA. Joseph continually follows-up on the missed modules/quizzes/assignments and persuades me to get those done the sooner or later and move onto the next module.

I was enrolled... Read More for the Program back in 2022, but wasn't able to work on the Program due to my commitment from Work activities. But, Joseph is of a great help for me to progress on my Course and stand where I am today. I'm happy that he is my Program Manager and proudly say Joseph helped me to move forward.

I had an incredible experience studying Data Science at Great Learning. The program exceeded my expectations, thanks to the phenomenal professors, all of whom are from MIT. Their expertise and teaching methods made complex topics engaging and understandable.... Read More It was so cool to think that I had the privilege of learning from such distinguished professors. The support from the Great Learning team was also outstanding, going above and beyond to ensure I had all the resources and guidance needed to succeed. Special thanks to Tejas for always being there during my doubts to solve any problem. I highly recommend this program to anyone serious about learning Data Science!

I truly love the online community at this school—it made me feel like I was part of a supportive and engaging body. The pre-recorded classes, along with the live mentorship sessions, were incredibly helpful, and the course content was simplified in a... Read More way that made learning easier to follow. The teaching was excellent, and the program manager was both understanding and responsive, always ensuring that any concerns were addressed promptly.

If there’s any con, it would be on my end. Due to external factors like issues happening in my country and other events, I wasn’t always able to give my full focus to the course. However, the school was extremely patient and offered assistance wherever possible, helping me stay on track. Now, I'm revisiting all I've learned to better prepare myself for the job market, and I couldn’t be happier with the foundation the school has provided me. If it's possible, I would love to take more courses at Great Learning MIT IDSS in the future!

I believe that the approach to learning a new subject quickly varies from person to person. It also depends on whether the goal is to pass a test or to apply the knowledge practically in real-world scenarios. The MIT course I took through the Great Learning... Read More platform was well-structured and fulfilled both objectives. It offered numerous materials on data fundamentals to repeatedly practice and reinforce Python basics It also included three challenging projects that applied these skills to real-world cases.

Through this course, I was able to start my data career in a way that was both enjoyable and strengthened my foundational knowledge and expertise. This was a key difference from other programs, which often focus on theoretical approaches that require a longer time to adapt to practical data applications. The most important aspect of this program was that it sparked our interest in data, reigniting my motivation and providing a strong incentive to continue studying in the future. This is where I found its value to be particularly high.

An ample follow-up by mygreatlearning team to the students is given all along the enrollment and the learning process itself. The Olympus learning platform is a plus to the course.
Short time to learn the whole curriculum if you miss some skills required... Read More to take the course.
The course library can be access early to start practicing some of the topics.

I'm Ronald Garcia, working in the manufacturing industry, specifically in apparel and fashion. As someone responsible for combining forecasting, inventory, and production, I've always been fascinated by data science and its potential to drive business... Read More decisions. This led me to enroll in the "Data Science and Machine Learning: Making Data-Driven Decisions" program, which has become one of the best experiences of my life.
The program is designed for professionals aiming to enter the field of data science, including machine learning, deep learning, and recommendation systems, or those seeking career development opportunities, or simply looking to provide more valuable insights to their company. I can attest that this program teaches you to harness data in new and innovative ways.
This comprehensive education in data science covers topics such as Python programming, machine learning algorithms, and data visualization. What I found particularly valuable was the opportunity to work on real-world projects, applying the new skills I learned. Each module offers optional material for deeper learning and real project examples executed using Python. Working on these projects has helped me build a strong portfolio and gain practical experience.
One of the biggest challenges I faced was balancing my studies on the Great Learning platform with my personal life, church, family, and work responsibilities. The program demanded long hours of coding and studying, but the knowledge gained was so valuable that it kept me dedicated and focused on my goals. Investing in this program is one of the best decisions I've made in my life to add more value to my professional career and skills.
The support system and team offered by Great Learning are outstanding. The nurturing environment of this program was instrumental in my success, offering both technical guidance and emotional support.

I'm Ronald Garcia, working in the manufacturing industry, specifically in apparel and fashion. As someone responsible for combining forecasting, inventory, and production, I've always been fascinated by data science and its potential to drive business... Read More decisions. This led me to enroll in the "Data Science and Machine Learning: Making Data-Driven Decisions" program, which has become one of the best experiences of my life.
The program is designed for professionals aiming to enter the field of data science, including machine learning, deep learning, and recommendation systems, or those seeking career development opportunities, or simply looking to provide more valuable insights to their company. I can attest that this program teaches you to harness data in new and innovative ways.
This comprehensive education in data science covers topics such as Python programming, machine learning algorithms, and data visualization. What I found particularly valuable was the opportunity to work on real-world projects, applying the new skills I learned. Each module offers optional material for deeper learning and real project examples executed using Python. Working on these projects has helped me build a strong portfolio and gain practical experience.
One of the biggest challenges I faced was balancing my studies on the Great Learning platform with my personal life, church, family, and work responsibilities. The program demanded long hours of coding and studying, but the knowledge gained was so valuable that it kept me dedicated and focused on my goals. Investing in this program is one of the best decisions I've made in my life to add more value to my professional career and skills.
The support system and team offered by Great Learning are outstanding. The nurturing environment of this program was instrumental in my success, offering both technical guidance and emotional support.

As a non-data science professional, enrolling in the Postgraduate Program in Data Science and Business Analytics by Great Learning in collaboration with UT Austin has been an incredibly rewarding experience. The curriculum is robust and comprehensive,... Read More covering essential topics like machine learning, data visualization, predictive modeling, and business analytics. The blend of theoretical knowledge with practical application ensures that even those new to the field can grasp complex concepts with confidence.
One of the biggest pros is the quality of instruction. The course structure is well-organized, with a blend of online learning, live interactive sessions, and hands-on projects, which helped me grasp the concepts effectively. The faculty brings a wealth of knowledge and provides deep insights into industry applications. The program emphasizes practical learning through prerecorded lectures and live mentorship sessions. The program also offers excellent flexibility.
However, the pace can be intense, especially for those new to the field, and balancing work and study requires dedication and additional efforts to keep up. Some modules might feel a bit rushed due to the condensed format. but the support system in place, including dedicated program manager, mentors and peers, helps bridge any gaps.
Overall, the program is a fantastic opportunity for anyone looking to pivot into data science or enhance their business analytics skills, offering a strong foundation and valuable credentials from a prestigious institute. The quality of the curriculum, faculty, and the support system makes it a standout choice for aspiring data professionals.
I would like to extend my appreciation to Joseph Jose, our program manager for his regular follow-ups and support whenever needed; his dedication and guidance truly made this journey much smoother and more manageable.

The learning experience at Great Learning is unparalleled. The instructors are highly knowledgeable and the curriculum is both comprehensive and practical. The weekly mentorship sessions and hands-on projects helped me apply what I learned in real-world... Read More scenarios. I highly recommend Great Learning to anyone looking to advance their career with quality education.

I’ve been working at Microsoft as an Azure Support Engineer for the past four years. While my job has been rewarding, I was looking for something that could really spark my passion. With AI and generative AI taking off in late 2023, I knew I wanted to... Read More dive deeper into this field. But with a full-time job, I needed a program that offered flexibility without sacrificing structure. This course ended up being exactly what I was looking for.

What Worked:
Flexibility and Accountability: The program’s design made it possible to balance work and study effectively. I could study at my own pace during the week and focus on the mandatory sessions over the weekend. The deadlines each week kept me motivated and on track, helping me dedicate at least an hour a day to my studies. This structure really worked well for me without feeling overwhelming.
Supportive Program Management: Ken Chan, our program manager, was fantastic. She went out of her way to ensure that each of us had what we needed to succeed, offering personalized support and extra resources when necessary. Her approach made the whole experience much smoother.
Experienced and Engaging Instructors: The course didn’t start perfectly—we initially had an instructor who didn’t quite hit the mark, which made the first few sessions less engaging. But after we shared our feedback, the program quickly brought in new mentors, Eren Zedeli and Paolo Esquivel. Both were not only knowledgeable but also genuinely interested in helping us succeed. They made themselves available both during and outside of class, which was incredibly valuable.

What Could Be Improved:
Class Timing: As a morning person, I loved the early morning weekend sessions we had at first—they fit perfectly into my schedule. However, when the classes were moved to noon, it became a bit of a challenge. The two-hour sessions took up a significant chunk of the day, which wasn’t ideal. Although I was offered a chance to switch back to morning sessions, it would have meant changing my team, which I wasn’t keen on at the time. I think the experience would have been better if the sessions had consistently been in the mornings or if attendance hadn’t been mandatory for grading.
Course Pacing: The course provided a solid grounding in the basics, but I felt we spent a bit too much time on these early topics. That time could have been better used for the more advanced sections later in the program. When we got into machine learning, the pace felt rushed, and I found myself needing more time to absorb the material fully.

Overall Thoughts: One of the reasons I chose this program was its reasonable pricing compared to other courses that can cost up to $8,000. For me, it was definitely worth the investment. The course gave me a strong foundation in data science and data analytics, and I now feel confident in applying these skills to real-world situations. I’m also planning to continue my studies, focusing more on machine learning and AI.

While this program was perfect for me, I recognize that it might not be for everyone. If you need clear deadlines and a structured environment to keep you on track, this program could be a great fit. But if you prefer a more flexible or less structured approach, you might find it a bit challenging.

Overall, I’m really satisfied with what I’ve gained from this course. It has equipped me with the basic tools I need to move forward in this field, and I’m excited to keep learning and growing in data science and AI.