I definitely recommend this course to anyone seriously interested in Data Science and AI domains. There are a couple of points that I want to review:
1. The course content is very well prepared. It addresses all required and important topics, not going into every small detail, but instead directs its focus to the important areas. Dr. Alper doesn't want you to memorize concepts, instead, he tries to explain how things work and how it's related to other topics. Not only lectures but also labs (notebooks) and quizzes are very relevant and well prepared. I think this is one of the big differences from other programs. You get a chance to practice hands-on what you learned (from basic to advanced level). Other than course content, he shares examples from data science competitions, business cases, and encourages us to participate in them.
2. The instructor, Dr. Alper, is a unique talent in the AI domain. He has a solid background in data science as well as software engineering. Also, he has long-standing experience in different industries. Thus, for each topic he taught, he can always relate it to a real-life business problem. This is very valuable and hard to find in programs where instructors are only instructors. He's super reachable and very helpful anytime you need support.
3. Dr. Alper is managing Data Science teams and he is a hiring manager. So, he always gives the best tips on how to get prepared for interviews. The course has a section for coding interview preparation, as well as a very long review session (Q&A on most important topics) in the end. He always advises on the course and examples from his prior interviewing experiences.
4. This course is quite intense and expects students to commit their time (around 15h per week) to follow lectures, run labs, and solve quizzes. Besides, there will be areas where you need to support yourself with self-learning to keep pace. Being a data scientist is a marathon, don't expect a quick-win without sweating, so make yourself ready for the journey! read more