Ratings and Reviews for Introduction to Data Science in Python

Well orgnized and the recommendation is awesome.

Great content! Some messy question statements.

Really insightful course for those who would want to ramp up their Python skills for Data Science but might require prior experience of coding.

Very Beneficial course and full of skills in that era. Every Student must learn that course. Thanks to the Coursera platform for such type of educational activities. Thanks to the Instructor and the University of Michigan.

Course is far to broad to be an introduction level course. I've used python for several years but the topics are just brushed over and like many others have mentioned it is highly self taught. Seems that signing up for a course shouldn't be a self guided as this course makes it.

The assessments, quizzes, and course coverage are quite good. The main points are covered, although it does not cover everything. Additionally, it provides opportunities to learn and conduct research.

That was so good. Because it forces you to learn how to code functional, which is so important I think and also a lot of things that you need in data science field.

In my opinion not really a course. You get simple hints in the videos what can be done with dataframes and co and 90 % has to be find by yourself in the internet. Very often the teacher says after running a code "as we can see...", but you can see it only if you run the code in parallel, because the teacher does not show the relevant result. For the assignment 3 you have to search a lot in the internet and use trial&error to get the correct result. The notebooks are not very useful for looking up later and you have no slides to download or similar. The questions in assignment 3 are very sloppy and inaccurate written. Check the forum contributions before starting to avoid a lot of mistakes due to possible misunderstandings. The speed is very fast (even at 75 %) and all topics are only touched upon briefly. The only advantages compared to Youtube videos are that you have assignments. There should be a lot more exercises in between instead of having after hours of videos only a difficult assignment.

ew

This course could benefit from some improvements in organization and structure. The amount of time required for lectures and assignments can be inconsistent, making it difficult for learners to plan ahead. Additionally, the lectures could be more focused and better organized, for example by starting from best practices rather than common mistakes. The use of technical terms could be clearer. Some of the examples provided also contain errors or outdated code. The assignments also have room for improvement. Instructions are often confusing and, in some cases, grammatically not quite correct. Some assignments require learners engage in questionable data practices (e.g. incomplete data cleanup) for submissions to be graded as 'correct'. Furthermore, some of the latter assignments place an excessive burden on learners to educate themselves on key procedures and functions, which doesn't seem to align with the learning objectives of this course.