Ratings and Reviews for Introduction to Data Science in Python

Good course for the basics, but the assignments are very difficult as lectures do not cover everything which is asked in the assignments.

I learned a lot through the challenging assignments, but the course materials (videos) are not very useful. They only cover the very basics for the assignments, so be prepared to study a lot on your own. Knowing pandas beforehand helps a lot too IMO.

It is good, but definitely not for beginners. The assignments require quite a bit of prior knowledge on programming and statistics. To be fair, this is mentioned by the professor on numerous occasions as well. It took me about 15h to complete the course.

very efficient

I loved this course module and resources. More specifically Christopher Brooks's references helped me a lot to strengthen my Python panda knowledge and statistics knowledge. To me, assignment 3 and 4 was challenging but while I started to solved it I learned something extra form python documentation and StackOverflow.

Four year old instructional content. Four year old versions of pandas and other libraries. $50/month for 4 year old content?? The course relied on very basic functions and libraries in pandas and numpy. I doubt that any of the specific skills and content taught here would transition very well to a professional or academic context. Why is it so hard to find a real practical Python data science course? I'm also pretty sure there were errors some of in-video quizzes. And there exists a broken link to Chris Anderson's Wired Article entitled "The End of Theory..." that has been broken for the past 3 years at least when I checked on discussions for the article. This course in general has sat here for 3-4 years seemingly unmaintained (see the broken quizzes and links above) and unchanged (see the 4 year old videos and libraries above) just yearning money for Coursera and UMich with little to no evidence of improvements or basic maintenance. I think it's shameful that I am being charged $50/month for access to these materials and the grading system which quite frankly has stymied and stunted the growth and improvements to the course material overall.

I have a decent knowledge of python, this course tries, initially to introduce Pandas. In my opinion, the way they try to do is bad. The material is not available, so, no way to reproduce on the student side the examples. During the course, there are also some small checkpoints to see if the example were clear enough. Honestly, without data sets, without proposing (many) exercises, it seems all useless. They expect that the students get everything immediately (they claim that you don't need to know the lambda function, but expect you to get in in 2 minutes of a lesson). I discontinued this. I will check for other materials, books, and more to deepen my data science knowledge in python.

the weekly assignments are so challenging.But the instructions are not clear enough.for each question,one has to adventure through the discussion forum to find what the question expects.Thank you for the discussion forum because there are enough good people to explain and ask questions in each and every dimension.

impressive

Please make the lecture materials more thorough. The assignments are very difficult and most of the time require learning from other sources rather than this course. I have sent more than 8 hours per assignment since I had to learn a lot of materials outside this course to answer those questions.