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

A very good course. Excellent introduction to pandas, in particular. Auto-grader could be improved, but it is great to get instant results, rather than waiting for peer grading.

Enough programming has open answers, it will be helpful if there are some guided method to be provided after we finish each assignment to better increase our coding efficiency.

Very thorough course with good questions and interesting assignments. Be prepared to read through pandas documentation though, or perhaps that's just my go to as a developer :)

I feel the videos could have been more instructive.However, the level of assignments is incredible! I learnt a lot more from programming assignments of this course than videos.

I strongly suggest making the description for assignments clearer. For assignment 2 and 3, without help of discussion forum, maybe I am still stuck in the data pre-processing.

I found this course slightly difficult since I was completely unaware of Pandas and NumPy, however, by putting slight effort and dedication, I was able to complete the course.