Great Learning

Pros: Expert instructions from MIT professors, highly technical, covers introductory concepts in depth, weekly quizzes to reinforce knowledge, weekend mentor learning sessions to bridge concept gaps, hands-on practice in building machine learning models,... Read More a lot of extra material available to delve into a topic of interest

Cons: Weekend lectures, high volume of material provided per module

Having just completed the MIT IDSS Data Science and Machine Learning course through Great Learning, I can honestly say it was one of the best educational experiences I’ve had. I started with a basic understanding of data science, but through the course,... Read More I gained real confidence in handling complex topics like machine learning algorithms, predictive modeling, and making data-driven decisions.

The course is impressively structured, and each week introduces new concepts that build on one another. There’s a great balance between theory and practice, which keeps things interesting and engaging. What really stands out are the projects—beyond just a capstone, the program includes three extensive practical projects and numerous practice assignments to reinforce each concept. These projects made learning feel hands-on, giving me the chance to apply what I was learning to real-world scenarios.

The mentorship sessions were a highlight for me. Having access to industry experts who were always open to questions and willing to give personalized feedback was incredibly helpful. They guided us through challenging areas and provided insights on how the material connects to industry practices. The mentors were not only knowledgeable but also genuinely supportive, which kept me motivated every step of the way.

I’d highly recommend this course to anyone serious about getting into data science. It’s not just about learning technical skills; it’s about building practical, applicable knowledge and feeling prepared to tackle real-world challenges. Great Learning’s team was also fantastic with support, always there to help with any questions or issues. Overall, this course is a perfect combination of depth, rigor, and hands-on experience.

A great course Covering Machine Learning Topics with No Code AI, it is a great potential to boost any Business. Support Team always there for any support. Mentors on Mentored Learning Sessions explanations is great. An Amazing Experience that opens new... Read More potentials in AI age.

I would like to express my sincere gratitude to Great Learning and the MIT faculty for the outstanding "Applied Data Science Program: Leveraging AI for Effective Decision-Making". This course has been an invaluable experience, equipping me with essential... Read More skills in artificial intelligence and data science that are directly applicable to real-world decision-making.
For anyone aspiring to advance their knowledge in applied data science and artificial intelligence, I highly recommend this program. The curriculum is robust, practical, and taught by renowned experts, providing a perfect balance of theoretical knowledge and hands-on application. It has been a truly transformative journey, and I am confident that it will benefit professionals across various industries.
Thank you once again for this remarkable learning opportunity.

In July 2024, I joined the Applied Data Science Program—my second MIT course but my first with Great Learning (GL). Although the initial marketing approach felt a bit aggressive by European standards, I was eager to dive into data science, machine learning,... Read More and deep learning. As an IT department head, inspiring and guiding teams in these areas is crucial.

Onboarding
The initial communication consisted of multiple emails—important ones, so make sure to read them rather than ignore them.

Platform Experience
Logging into the platform was straightforward, and the layout of the “Dashboard” and “Courses” tabs is intuitive, containing all relevant information for each phase of the program. A useful tip is to set your time zone correctly to avoid scheduling confusion.

Course Content
The program comprises several modules that don’t necessarily build on each other but progress logically. It starts with programming basics and statistics, then quickly ramps up into core data science concepts, providing a solid foundation and gradual progression.

Learning Resources
There are four main resources that worked well in combination:

- Readings and Info: Available on the website and provide a foundation for each module.
- Lectures with Q&A: These were led by excellent professors with well-structured slides and included extensive Q&A sessions during the week.
- Hands-On Tutorials with Q&A: These weekend sessions, conducted by industry experts, were invaluable for practical understanding.
- Online Tests: These helped reinforce the material covered.

Interaction and Support
Communication happened via Slack, WhatsApp, and the GL ticket system. I only experienced one rescheduled session due to a force majeure event, which was promptly communicated on the dashboard. Overall, sessions were well-organized and ran smoothly.

The capstone project was a highlight, where I took on the role of a “junior data scientist” analyzing bank loan data. It was eye-opening to see the insights that can be drawn from data, and I gained a new perspective on how data-driven insights can drive business decisions.

Points to Consider

- Time Commitment: Be prepared to dedicate your weekends for five months (June to October). It’s intensive but manageable given the program’s limited duration.
- Schedule Availability: The complete schedule is only provided via email and PDF; integrating it into the dashboard would be more convenient.
- Accent Variability: At times, certain accents required extra focus, though this is unavoidable in any global program.
- Programming Skills: Having a programming background made it easier to focus on the data science concepts, so brushing up on coding can be helpful for beginners.

Overall
This program opened up a new world of data science for me. It was challenging yet rewarding, and it has equipped me with a stronger foundation to drive data-focused initiatives within my organization.

ADSP is a brilliantly and expertly tailored course for both working professionals and upcoming students from colleges. This course has guest lectures from MIT professors. It also has mentors from Fortune 100 companies who provide practical insights and... Read More mentor the cohorts. I have done many online courses in my 23 years of professional IT career but never seen such well run course before. Great Learning is an excellent platform to learn and ADSP is one of the best I have come across. I highly recommend this course for anyone who is interested in pursuing career in AI field. This program would give you the perfect foundation to apply the concepts in practical life as Data Scientist.

The MIT Professional Education - Applied Data Science Program was a phenomenal learning experience that exceeded my expectations. The course offered a rich and well-structured curriculum covering essential data science and deep learning topics. The professors... Read More from MIT were exceptional, presenting complex material with clarity and making it accessible and engaging. The mentorship from industry professionals was invaluable, bridging the gap between theory and real-world applications. I also want to commend the program manager for their continuous support and guidance throughout the course. This program has not only enhanced my skills but also empowered me to pursue exciting new career opportunities. I highly recommend this program to anyone serious about advancing their career in this field!

This program is a great opportunity for aspiring leaders and learners given low code and full code options. There are many pros like learning at your own pace. Its hard to think of a con, however maybe if there were some more student benefits. This is... Read More for the applied data science program: Leveraging AI for effective decision making.

The program covers various integrated topics on data that applicable to gain insight and foresights. Further, live sessions (lecture and mentoring) offered opportunities to understand the topic better. Although it flexible, the schedule of live session... Read More often unmatched to working schedule of those who are working in middle east (weekend on Friday and Saturday). Once decided to pass the live session, it became challenging to catch what have missed although recording is availabe due to various topics that need to learnt too before the next mentoring sessions occurred.

Online classes are a delight, with excellently qualified proffessors from MIT. The material and topics are well organized and the dashboard is friendly and clean. Overall time for the complete course is tight, however. More so if you also have other activities... Read More like work or school. If you are struggling with this, you will find help the from kind program managers.