I took sometime to get used to the auto grader, but after that it's fine. All the staffs are very helpful in clarifying the questions and provide code to debug my codes. It was awesome!

Overall a very nice introduction to Python. Sometimes the checks for the assignments were a little annoying. It would be way easier if all the checks would be published from the outset.

The course will be difficult who doesn't have sound knowledge about the library and functions of python3. It would be better to start this course after completing the course 'Python3'.

Excellent course, with good material & explanations by the staff. However, giving more guidance on what is expected from each answer could save us some time while doing the assignments

Overall quite good, but the auto-graded assignment can lead to a lot of time spent less on comprehension and more nit-picky details (more than the R-based data science specialization).

Great course requiring a lot of dedication. However, got issues with the auto grader that made me loose a lot of time unfortunately. Good tips to resolve issues from discussion forums.

The course takes one through essential steps for data science introduction but i feel the assignments look to technical for an introduction and the autograder creates alot of tension.

The course is based on getting hands on experience of pandas package and some hypothesis testing. be sure to learn basics of pandas and hypothesis testing before enrolling the course.

The course materials, videos are great! I am giving 4 stars just because some of the questions of the assignments are confusion. It takes a very long time just to understand question.

Excellent, if frustrating introduction to data science in python. There was a large learning curve with Coursera and using python, but it was well worth it and I learned a great deal.

A good course overall, except for some ambiguous question descriptions in the assignments which makes you guess what the real requirement is by submitting your answer multiple times.

amazing course!! i was a beginner and learnt a lot over here. The only problem i got occcured was during regex functions and week 4 in hypothesis part. Apart from that it is amazing

i really want to say a big thanks to the whole team who designed this course .

i have been really into learning about data structures and python and this has been a boon in disguise.

This course covers pretty much the basic concepts of data science, as well as some python programming.

Tests requests might might sound a bit confusing, but overall is a good course.

A lot of learning through Assignments, best course for those who can work hard to learn something. Also it teaches you how to apply bottom down approach in life to learn a new thing

Loads of material and can be challenging for beginners (not being smug, i am one and it was for me). Still learned a lot and would recommend if you are willing to put in the effort.

The course was informative and helped me to a certain level, but I couldn't help but feel that it could have been a little more detailed. But it was still helpful and interesting.

You must have to add key important reference in this course so that students get easily access to only those material which is really needed in this life of data science programing

Course is good. But, pandas version is old in Jupyter notebook, difficulty increase exponentially and 1 question in assignment 4 has either wrong instructions or question is wrong.

for testing question, if some test cases are provided i believe that could be very helpful saving time.

Otherwise course is very good especially the assignments and project.

Thanks!!

The questions in assignment 4 can be a little more explanatory. Apart from that the course is very well structured and the assignments are excellent for learning and experimenting.

This course has helped to shape my understanding of Data Science. I'll always recommend this course to my colleagues. Thumbs up to the facilitators and entire Coursera Team. Kudos

The course is really good the material is a little heavy and need a lot of work for the assigmentes.

Some lack of help dduring the assigments and the practice tools are not working

Very good course. Pretty fast pace, so definitely needed to google/read a bit on the side. The exercises push you really think, though I had a some problems with the auto-grader..