the instructer was explaining very fast. i couldn't catch up with him. and the learning information was too less when compared to the questions asked by the assignments.

It was great course. The only thing I disliked is that it just gave overview of things that can be done, it was not in detail and also pace of the videos was a bit fast.

I appreciate this course very much! Course notes and the assignments are of great importance for my deeper understanding of python. And the forum really helped me a lot!

It will be better to understand the whole coding if they explain more about the codes they are using. Some times they will directly using codes without explain it first.

Get ready to load and cleanse data with Pandas. Also, great for experience with NumPy and a bit into SciPy at the end. Make sure to keep up with the assignments work!

Solid introduction to basic data manipulation in python. I thought the course was a bit lengthy and the quizzes unnecessary, but overall I am satisfied with the course.

This course was awesome, but the Assignments were difficult as compared to the teaching lecture.

I think there should be a bit more about the topic discussion in videos.

Course is great and very teaching. That being said, some of the excersizes are not clear enough, and since the autograder is auto, it creates problems from time to time

Great Course, very useful basic python course. Although I had lots of experience with python it is always good to go back to basics and reinforce good coding practices

Very practical assignment to hone skill in data frame and regex operations. However I don't like the monthly subscription payments, which is inflexible to my schedule.

Good course, if a bit fast paced, expect a great deal of searching through documentation and stackoverflow, but it is to be expected from an intermediate level course.

as advertised this is not an introductory course , you need to know a little about python pandas and numpy before taking this but overall it's nice challenging course

A bit short, but good info. I wish you got access to an optimal code for each of the assignments once you submit yours and pass, so you could see how you can improve.

Too much content covered in a video at very fast pace. I am comfortable with little long videos with more details on the topic and I think that can enhance learning.

The assignments are challenging and thus rewarding after hard work.

More explanation effort can be invested during the lecture would make the course perfect, I think.

A very useful course for getting to know Pandas and its application in data science. Bit of advice: use the online version of the notepad to avoid autograder issues!

I dont put the biggest mark because sometimes you have spend a lot of time trying to resolver a problem with and csv file and it is something related with format....

This was a great course. But I would advice programming newbies to really be comfortable with problem solving and Python programming before going through it.

Cheers

The data could be made available. That available in the links have been updated and the code does not apply to the dimension of dataframe mentioned in the notebook.

Good course. makes you work, but the learning was worth it , especially for someone like me who has ben struggling to pick up python though I am fairly good at R.

Nice and very much informative session on Data science using python where we learns a lot and also completed assignments which is really a tough level assignments.

it's a nice course, more project based than theoretical, challenging assignments and good instructors. it spurs you to do a lot of research and individual learning

Es un buen curso. Me parecío demasiado rápido el teórico y demasiado escueto. No me gustó que en los assignments hubiera que buscar tanto dato en fuentes externas.

if anyone want to learn data science through practical approach then with no second thought enrol to this course .

thanks to cousera for providing me financial aid.

Most of the work is on your shoulders, I think it needs more practice session on pandas. Wes McKinney's book are strongly recommended for help through the course.