The assignments require you to do a lot of additional searching online to find solutions to the problems given. That is what you will also do in "the real world" to resolve issues but when you pay for a course it would have been nice that the course can be used as a reference.
Ratings and Reviews for Introduction to Data Science in Python
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Reviews and Ratings
Reviews
It was a good one. A strong fundamental one. Nice
Assignments are not at an introductory level.
Great Course with minimum number of modules
I am currently taking this specialization and I find it very practical. However, I suggest that the exercises be updated regularly. Please note that the exercises should test creativity rather than being simple questions that can be asked in a chatGBT, and the use of a chatGBT should also be considered as part of the curriculum.
EXTREMLY PROFESSIONAL
Perfect
Big difference between this and some of the other classes offered by UM. Not sure if I will go further in this specialization because of it. The instructions on a couple of assignments were not clear, and dealing with the Jupyter system was at times a nightmare. Lots of hours wasted because of these two issues, as well as other things. Not crazy either about the instruction itself--went through material at times quickly, without a lot of explanation. I'm a working professional with a Master's Degree in Mechanical Engineering. I don't mind spending time practicing concepts that are being taught, but I don't like precious time being wasted due to inefficiency. Not the good experience I've had with other UM classes.
Very time consuming, and difficult especially when your a freshman in high-school. Besides that, very informative and fun. Good luck with Regex, and cleaning files!
Great course to understand the fundamentals of data science and build a career in Artificial Intelligence.
