Course assignments are very tough and for not for beginner level python knowledge. You have to look up on various documentation time to time and the assignments take a lot of time

One of the best course that i came across it. It is a intermediate course as i say because of the assignment and you should have knowledge in Python and libraries. Happy Learning

This course is a bit too hard for me. I strongly recommend people with no programming experience (like me) take further consideration. You'd better take a beginners' course first.

It is a very good course. If you are not very experienced in python it will demand you to read a lot before finishing every assignment, which is great because you learn much more.

It was absolutely awesome and challenging.

I liked the in-video questions as well as the assignments, because they give a good foundation of knowledge, but encourage self-research.

An excellent fast on ramp into Python and especially NumPy. The usual caveat with online courses, the assignments often consume 2-3 as much time as you expect (so allow for this).

In general, it is a good course but going through assignments and figuring out what's wrong in your coding can be frustrating but I give that to being an online course of course.

A very good course for someone who is thoroughly comfortable with Python and wishes to explore the field of Data Science. The in-video quizzes keep you on your toes at all times.

Good explanation by teachers.I can say without further thinking that it is the best explanation about the data science and also helped to study more about python and programming.

Although I had an experience about data science with R, it was quite course to me. Actually I hadn't felt aledged python's convenient things, but I'll keep studying this garment!

Very nice course. Not really for beginners since you have to struggle yourself sometimes to get to the goal. The Stuff are very active and helpful in the forums. Thanks for that!

这是一门很棒的课程. 尤其是他的作业. 尽管有时候作业的说明不是很清楚.

This is an excellent course , although its programming assignment needs to have somehow clearer explanation . But anyway I like this course .

Thanks to Prof.Brooks , very good lectures on regex / numpy and Pandas. Assignments are vey helpful and Thanks to Support Team who is very much helpful in resolving the issues.

I am extremely thankful to coursera. This was a tough time for me to pay as I lost my job but coursera really helmed me throughout and it actualyy means a lot . Thankyou so much

The course is awesome! I could finish the course with everyone's help - reading the discussion forum and all the tips from the teaching staff especially Mr. Yusuf and Ms. Sophie

This is great, but definitely not for people with no python background. I work full-time and found the level of challenge to be exactly where I needed it to be. I learned a LOT.

An excellent overview of the fundamental skills associated with data collection and analysis. Successful completion of the course will enhance your knowledge of the Pandas API.

I guess this is right way of learning anything - some guided/ assisted learning followed by self learning. Collaboration over stackoverflow and forum is the way forward. Kudos!!

not an easy one but very challenging. maybe you need to give more than one week to the third and fourth assignment, since those assignment requires learning and exploring alone.

A challenging course that will teach the student how to deal with problems in Python and Pandas using documentation, rather that deliver some code snippets in a bunch of videos

One of the toughest courses you would encounter. Honestly, worth the time and effort. Gives you idea of real world data mining tricks and applying them is what is challenging.

The course content is great. The assignments are pretty hard and I really had to concentrate to pass. Thus someone would learn a lot through working on the assignment periods.

High-quality lectures and exercises. True to an "Intermediate" course, trusts that the learner will figure thing out themselves and doesn't spent extraneous time hand-holding.

The assignment is very challenging. I need to read many extra books to get the assignment done. However, feel great to pass the assignment. You know you really learn something

Muy buen curso, la practica ayuda demasiado al aprendizaje, además de que atrasándose se pude reprogramar las fechas lo cual ayuda cuando no se cuenta con mucho tiempo libre.