I was able to solve the assignments from the discussion and not really from the lectures. I am thinking I should have spent more time reading the discussions (like a textbook) than listening to the lectures. The lectures are too basic

Challenging assignments, prompt response for queries raised in the discussion forum, 5 star for Yusuf for pushing in the direction of the issue without giving out too much, short crisp videos, forces you to refer additional resources.

At first I thought it wouldn't take long because it consists of only 4 weeks but I was wrong! It did't take me a month but definitely more than I expected. Thanks to Coursera and U. of Michigan, I had get to practice a lot. Thank you!

This course of data cleaning is very good. But the tips provided are very high level. It is not easy for a beginner to reach the assignment expectations. I encourage to provide more depth in data manipulation techniques with examples.

The professors are excellent though videos are taught at a very fast pace, mostly at the end of the course where more difficult concepts are shared. The excercises are really challenging but made me feel competent when I solved them.

This is a difficult course. It is worth the effort. You need to spend a lot of time on research and prractice for the assignments. However, the skills you get are worth the effort and can be applied in a lot of programming areas.

This course is really amazing. The assignments are comprehensive and challenging, I loved them. But for me only 3 hours were not enought to complete them. I think this course could be divided in 5 weeks and have one more assignment.

This course needs some basic knowledge for pandas and numpy. Learnt a lot for pandas and function (if, for loop etc) by doing the assignment and research online. The discussion forum provides great help to complete our assignments!

this course has been very challenging for me. it pushed me to learn different things by myself and the assignments were really amazing.

thanks to you Mr professor, it was an amazing experience since this was my first online course.

This isn't a course for beginners. You shall be familiarised with Python, at least. The pace is excellent and the assignments are challenging. If you wanna improve your abilities with Pandas and Python, I recommend you this course.

THE COURSE WAS ONE OF THE VERY BEST COURSE I EVER HAD , THE LESSONS ARE VERY INTERESTING AND ALSO THE ASSIGNMENTS ARE VERY WELL FRAMED , WITH A VERY INTERMEDIATE KNOWLEDGE IN PYTHON ONE CAN TAKE THIS COURSE WITH OUT ANY HESITATION.

Excellant course! Though I found that Week 2 content was not very clear. I felt that there should me more information on dataframes and series because it would be easier to understand then. Overall a very good experience. Thank You

This course made a lot of fun and allows to work in an open style with problems.

For an unexpierienced python programmer it's to hard. When you have experience, it's a lot of fun.

Thanks Christopher Brooks for the excellent course.

Nice Course I learn so many topics on the introduction to data science in python as in python course covered the all python topics from basic to advance after that NumPy and panda course topics also good.

I loved this course.

Thanks

I learned a great deal of the fundamental python. It's a good refresher course for someone who has some python/programming experience or an absolute beginner. I recommend this course to someone who wants to use python on projects.

I enjoyed the course very much. I would like to suggest though that solutions to assignments could be unblocked or a video explaining the main points in the assignment and the pandorable way to do it.Thanks for the course,Benigno.

A hands on course on the basic tools needed to process data from experiments, web data, etc. The final assignment demands everything learned througout the course and it's a perfect example for what one would face on a daily basis.

Dr. Chuck (the instructor) is very thorough and detailed in his explanation of concepts.

Since the target audience is individuals who do not have/ have a little background in programming, the speed is ideal.

Assignments are helpful

Even if you know nothing about Data Science with Python, this course is a great place to start. Videos are concise and Assignments are elaborate. It took me more than the hours mentioned but it was a great learning experience. :)

It is quite challenging, I think learner with moderate initiative / motivation might not be able to complete this course. There lots of Googling and Stackoverflow needed to solve almost all assignment, especially 3rd and 4th one.

I am really grateful to coursera for giving me the oppourtunity to complete introduction to datascience with python,the lectures were really very helpful ,they helped a lot in clearing the concepts of numpy ,pandas,datetime etc.

This course is an amazing introduction to the potential uses of Python in Data Science. You do need to know some basic Python before starting (your life will be easier), but the lectures are really good (self learning required).

A truly awesome course. More than enough to get you started with Data Analysis and Pandas. The updated course is more comprehensive but is a bit more towards the tougher side. Still it is very efficient to get the ball rolling.

Awesome course, it provided me just right amount of difficulty. It focuses more on self learning but the faculties support you when you are stuck in very short time. Glad i took this course. I can suggest this course to anyone.

Everything is good, specifically for the beginners, right from the delivering the content to forming the assignments and the quick assistance to the queries.

I would like to thanks Christopher Brooks for such a great experience.