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..

Concepts explained are basic , and questions requires in-depth knowledge which makes practice test hard to pass.

This is my first MOOC, took me a bit longer to understand things.

The course is really great and well made. But be careful, as even if it is only an introduction, it requires to have already a pretty decent knowledge of Python to go through it.

Learned so much in such a short time! I can't believe it. 4 weeks ago, I had no idea what pandas was. Now, I'm merging multiple data sets and cleaning them. Such a great feeling.

Very good class, although it seems better to have good Python skills already. I am a business school student with just basics in Python, and I found the assignments a bit hard !

Everything was fine videos and all but assingment should be made easier and next to next questions should get tougher some question were too difficult and matching to the videos

Sirve como introducción semi completa a Python basico, uso de las funcionalidades más comunes de Pandas. Quizás dar más enfasis a otra librería como Numpy lo haría más completo.

Strengths: The assignments were interesting and challenging. The teaching assistant and discussion forums were helpful.

Cons: The auto-grader costs several hours to get to work.

The content and assignment topics were good, however the questions were at times misleading or did not specify all conditions required for a correct answer. Perseverance is key.

a must to do course for anyone who is entering the world of data science although i faced a bit of difficulty in assignments ,the instruction in assignments should be more clear