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Ratings and Reviews for Introduction to Data Science in Python
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Reviews
I didn't utilize the discussion pages until the third week, but they are extremely helpful. The pseudo code that was sometimes given in those discussions was also helpful for learning the material because it revealed programming solutions that I was unaware of given my inexperience with the python language. My only real issue is that I wasn't expecting the self-learning for the end of week assignments, but it wasn't that bad. The in-video problems were nice, I would like to see more small, non-graded assignments to help practice the language and get a feeling for it.
This was an outstanding course. It was a great introduction to pandas, and also some good exposure to data science. The homework via jupiter notebook was a great way to practice the new skills, and the auto grader is informative and helpful about submission mistakes. The forum is very well maintained by the staff. Thanks U-mich!
Nice course to start with though it requires some basic knowledge of Python syntax given that it was pretty well balanced course. Good tutor and nice course content.
nice course
It takes more time than expected if you don't have any prior experience in Python but it is worth all the effort! Great course!
A well structured course with an extremely helpful and responsive teaching staff. I appreciate the fact that the course encourages students to do further research on approaches to answering the assignment questions.
Great course to start career as a data scientist. Crisp, clear and concise course.
Very good course.
Some of the question seemed a bit diffuse and made answers hard to find, which made the estimated time rather far off, hence only four stars. Other than that I enjoyed the lectures and especially the articels that made me think deeper about some topics.
The course instructions are very limited comparing to some of the other Coursera courses I've taken. The video lectures and code examples are extremely high level and general, while the assignments are significantly more challenging than the content demonstrated in the lectures. I spent a significant amount of time reading the Discussion Forum and googling for the right codes to use, rather than actually applying any knowledge learned from the lectures. If I wanted this much self-learning, I wouldn't have taken a Coursera class.