Great Course! The level of the course is demanding but not to hard. The assignments are quote challenging without getting to frustrating. I learned a lot, thank you.

Nice course to start with though it requires some basic knowledge of Python syntax given that it was pretty well balanced course. Good tutor and nice course content.

Fantastic course with challenging assignments. Wish there were more handouts to explain some of the key concepts and the grader was better informative of the errors.

Very time consuming, and difficult especially when your a freshman in high-school. Besides that, very informative and fun. Good luck with Regex, and cleaning files!

That was so good. Because it forces you to learn how to code functional, which is so important I think and also a lot of things that you need in data science field.

The assignment were too good as it would test your knowledge and make to think on how to clean the data sets do manipulation and run descriptive statistics on them.

Es en general un buen curso para aprender la ciencia de datos con Python, sugiero enfáticamente que quien lo vaya a tomar tenga previa experiencia sólida con Python

Thanks for this wonderful lecture , concepts were very well described. Thank you coursera and university of Michigan and special thanks to Prof. Christopher Brooks.

Thank You..fo giving such useful infomation related to Data science in Python.The Best Thing you give the sample notebook so it could help me to understand better .

Thank You for Giving such useful information related to Data Sci with python. The best Thing is u give the sample notebook so it could help me to understand better.

The course is very good for beginners, the Tutors teach well and give assignment that are based on self learning plus their teachings, overall it improves knowledge

Very Nice course.. I really thankful to instructors, All team members and To University of Michigan.. Thank you coursera for such a great platform available for us.

This course was challenging, but very rewarding in the end. I learned many skills that will help me in by job and am interested to learn more in the future courses.

Fast-paced Python introduction course for those people who have some programming background and who are interested in Data Science topics.

Nice course to begin with!

It is very hard to complete without talking to other students. The staff is doing a great job in the forum, but the lack of talking is making the course very hard.

Extremely challenging -- I'd spend about 10 hours per assignment but definitely well worth it! Stack Overflow and the discussion forum will be your key to success!

Great course despite of a tiny mismatch between auto-grader and details in assignment description. One has to submit 100% to pass with 80%. Definitely recommended.

Great course, quite a steep learning curve with regards Pandas, but well worth the effort. Assignments are very effective at helping embed and expand the learnings

I only audited this course, but it is great. Initially it was a little difficult for me to follow but once I read some basics of pandas and numpy, it became clear.

Hi Professor,

Thank you so much for taking the time to structure this program. Looking forward to another great learning experience in course 2.

Thanks,

Neel Roshania

The teaching staff are all amazing, they are responsive interactive and professional. I really learnt a lot in terms of python especially pandas. Love the series!

Great start to learning data science techniques. Highly recommended that you get a solid understanding of the fundamentals of Python before starting this course.

This is my first online course. I enjoyed the course and specialy enjoyed solving the assignments. Even though I am not new to programming it was not a cake walk.

Excellent course, the teacher gives clear introduction, and the exercise is very useful to train our skill. I have no hesitation to recommend it to my classmates.

Lectures are very informative. Liked assignments because they were opened enough to seek for a new information by yourself - that's a thing everyone must improve.