It Was a lot fun.... And the way to do Assignment and submit is good.. but it can be little bit more flexible if we can get a insight of what we have to achieve so we can check ourself before submitting

This source has been proven to be very useful during my data science internship. I was doing tasks for data wrangling which require heavy pandas syntax and this source has provided me with exactly that.

The assignment are so good.They gave a good practice to me. The content of the Course is moderate but I loved a lot in completing the assignment and they gave knowledge how to use the python libraries.

I like the way the teacher explains. English is not my native language but I could understand almost all topics and now I'm happy with the new knowledges about python, pandas, numpy, data cleaning, etc

Comprehensive and challenging learning experience to achieve the data manipulation skills with python as much alike in real world scenario, strongly recommended for practitioners in data science field.

This is great course! I liked balance between theory and practice. And also tasks are covering something that is out of the week material, but can be easily found in the web (with provided suggestions)

It's very useful specially for new learner because it only dives into the part of python that data science need. I strongly recommend to anyone even if you don't have experience in programming before.

This course is extremely challenging for me I was practicing data wrangling with R which is not a lot different in concepts but it gets very tricky especially with indexing.

Thanks for the Experience!

An excellent course offered by the university of michigan which provides the basic knowledge required for starting career in data science and the concepts explianing by the proffesors were profound.

Fantastic course that I learned alot from. The assignments were tougher than I expected, and it was a great way to really groke the concepts. My only criticism was that the auto-grader wasn't great.

Great course, make sure you are comfortable in Python before diving in. Covers basic DataFrame work including cleaning, generating new data from existing data, and how to execute merge/join/update.

Awesome course! I haven't done any course like this. Explanations were very clear and deep, which is very helpful to learn the content. Thanks a lot to the professor and the University of Michigan.

It is a great course to get started in the field of data science. It just require basic knowledge of python. This course teaches you basics of numpy and pandas and how to apply them in data science

Great course! I liked how the focus was mainly on the practical aspects of data science. No 'dry' course material. I know much more about the practical side of data analysis than before! Thank you!

This course was a bit tough during the assignments, but it was totally worth it. Now I feel confident and enthusiastic about continuing my study of Pandas and other basic data science instruments.

Excellent excellent course! The instructor explains very well and video lectures are typically 5-10min only- very good bite-sites! Assignments are well-designed and you are working with real data!

Great course, I really benefitted from the shorter instructional videos and much longer exercises where I had to figure out a lot of things on my own, which is the best way to learn in my opinion.

It's one of the best courses that I ever had. The content is clear and focused on solving problems. And the activities are really good, challenge you and make you look for more content to answer.

The instructor was very clear in concepts and the course has helped me to gain more knowledge in data analysis with pandas and made me fluent in finding solutions to problems. Thanks to Coursera.

Best course to learn about Introduction of Data Science, a fast paced course, need to have knowledge about Pandas and Numpy before taking this course if not it would be kind of tough to complete.

Awesome course material and well structured learning path. I loved the entirety of the course and hope to continue to learn more from Coursera. Thank you Coursera and also University of Michigan.

Great introductory course to python. Decent novice-level videos but great assignment quality. Definitely takes up more time than expected, especially if you aren't well-versed with python syntax.

Great material and presentation! Please work on question clarity, especially in the last project. With as picky as the grader is a little extra specificity would have saved me a few false starts.

The shared files we can access in the Coursera lab are all very useful for practicing our coding skills. For anyone who is taking this course, do not forget to make use of all the files there ^^

This course provides excellent instructional videos, comprehensive materials, and real-world data manipulation and analysis using Python. One of the best values for the buck in online training.