It was bit fast, but overall the quality of assignments was really good!

Took me a while to solve the assignments but the questions were of good quality and skill.

Thank you University of Michigan!

Thank you Coursera!!

The videos are pithy and the exercises are challenging for beginners. This class is an introductory course, but not from scratch. If you haven't dabbled with Pandas before you may find this class extremely fast paced.

good starting pointing to get familiar with pandas dataframe through the assignments and project. I had to read other resources and watch other videos online to complete the assignments, but I think that is the point.

Debes tener al menos un nivel de conocimiento del tema, los ejercicios son retantes para los que apenas estan empezando. Por lo que, sugiero en cada ejercicio leer o complementar las clases con documentacion externa.

The Course was to introduce the attendee to Data Science in Python and did a great job. I was introduced to most of the basics and I am happy with what I was gone through from Day 1 to till date.

Thanks for everything

Recommend this course to people new to Python and want to learn basic data science techniques quickly. Very inspiring lectures given by professor and very helpful instructions given by mentors and teaching assistant.

What a great way to be introduced to Data Science! Python makes this subject very accessible, even to non-CS majors, and the heavy focus on Pandas helped my gain transferable skills to other fields of data analysis.

Overall, it is an excellent introduction to data science in python. The assignments are a little bit challenging, but after conquering all the difficulties, you will for sure be able to dig deeper into data science.

This is a perfect course for anyone who wants to learn data science with Python. I definitely recommend this course for students interested in manipulate data and find interesting relations among different datasets.

Great Course.I learn a lot from this course but i think this course is not for beginners as it needs very good knowledge of programming skills.Overall its a very gud course and its assignments are very competetive.

It was very intuitively taught and that made the course easy to learn. Thank you coursera for providing world class faculty and super awesome courses. I will try to give it back to coursera in whatever way possible

I learned good materials for Python from this class. The assignments are good. Only one comment: the writing of the assignments can be very vague and at times it is hard to understand. Overall, I like the class.

Very good course!! The assignments really encouraged me to learn more by myself, and also to learn how to solve problems through forums such as Stark Overflow. The forum within this cause is also very useful, too.

The course video are pretty short and does not include everything. I need to do a lot self survey for the assignments. But the support from the forum is very solid. Big thanks to Sophie! Good learning experience!

Excellent pandas course. The exercises were extremely challenging, but helped me hone my pandas syntax a lot. Definitely worth the time if you're interested in becoming a business intelligence analyst or engineer.

This was the best ever course I have done till date with lots of hands-on. Assignment question are excellent. I have performed analytics with real time data it was really like some kind of project experience !!!

This is a very useful course. I recommended this course at people that already know how to programming. Week's homework are more difficult than in the description and needs more time( for my personal experience )

Excellent Course, I struggled with the assignments a bit but after doing some extra research I managed to complete them and learned a lot in the process. Great Course to get started in Data Science using Python!

This course is very good and providing knowledge about python and it's built-in libraries like numpy, pandas, statistical analysis etc.

I am very thankful for getting one new programming language into my library.

More challenging than I expected. The assignments aren't a lot of code but they do require some thought and experimentation to get right. Would have liked a bit more lecture material with more examples though.

Really good introductory course to Pandas. Teaching stuff was a big help and forums are very active and informative. Very good work. Area of improvement: The estimated timings of completion are too optimistic :)

Good introduction course. Did require the student to be resourceful and teach themselves additional pandas techniques in order to complete the homework. The homework was a tangible and applicable problem set.

This course is very well formatted and designed. You get to learn the basics and will have chance to have hands on some live data. The mentors are really helpful for any help that you need for your assignments.

Definitely one of the most useful courses I have done in Coursera. Took me a while to get the rhythm but after that everything was smooth. As it says you will really need an INTERMEDIATE level of Python for it.

It is an interesting course. After taking this course, I can make use of Pandas, numpy in python. In addition, I have learned some interesting knowledge about statistic. Thanks Prof. Christopher Brooks and TAs.