Great Learning
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Great Course with Strong Foundations and Real-World Projects
I enjoyed the 12-Week Data Science Program from MIT Professional Education. The course gave me a strong foundation in Python and a solid overview of the machine learning models used in data science—especially deep learning. My capstone project was about building a lightweight convolutional neural network for automatic malaria detection, which was a great hands-on experience. One of the best parts of the program was the weekly mentored classes. They helped me stay on track and made the learning process smoother. I also really appreciated the weekly projects—each came with detailed videos that clearly explained every step, which made it so much easier to follow and learn. Another big highlight for me was the amazing support from the Great Learning team. Whenever I had any issues or questions, the program manager personally followed up with direct phone calls to make sure everything was resolved quickly. That kind of personal attention really made a difference and showed how committed the team was to helping us succeed. I plan to use everything I’ve learned to teach my high school students about AI and machine learning, and I’m excited to help them build their own AI apps too! The only reason I’m giving this course 4.5 stars instead of a full 5 is that I wish it included a complete, in-depth module focused just on the three key areas of math for machine learning: linear algebra, calculus, and statistics/probability. It would be even better if those topics were taught specifically in the context of ML. Honestly, if the program were extended to six months and included that math module, it’d be perfect. Overall, it’s an amazing course. If you’re looking to get a solid overview of ML and AI, I’d definitely recommend it. Just keep in mind—it’s more about practical foundations than deep mathematical theory.