Solid course that takes you from simple concepts to relatively complicated content for beginners. The autograder on the assignments can be painful but the forums are very helpful in getting issues resolved relatively quickly.

excellent.

jupyter is a cool tool.

useing datetime to resamling data is an convinient way.

merge dateframe is better than use mysql table.

normal distribution and chi-distribution, t distribution gave me some idea to learn more.

It may seem extremely hard for someone. Takes a lot of time to overcome complicated assignments. Require a lot of searching and experimenting. After the course you'll feel tired, but you will be able to manipulate data nicely.

It was an awesome experience of learning Pandas. The course materials & specially the Assignments cleared the concepts absolutely clear !!!

BIg Thanks to Coursera & University of Michigan for putting such an awesome course !!!

The tutorial is challenging but Sophie very likely offers help on the discussion forum. I have been coding for two years by self-learning but this course reinforces my learning and the tutorial practice did improve my skills.

Well thought out and right level of difficultly. Course covers it at right pace. One might think that this course is difficult, if they don't have programming background. The professor and the Staff were very helpful as well.

As an intermediate Python programmer with some data science experience, this course offered very valuable lessons and challenging assignments. Would highly recommend for those interested in pursuing a career in data science

awesome content and practices question is too good it give me clear vision about data Science.

Christopher Brooks sir teaching very cool manner. it was great point to make interest

thanks Coursera

thanks Christopher Brooks sir

Very interesting and challenging course. It gives you the big picture about Data Science and all the advantages Python has to deal with it. I recommend it if you are minded to expend a couple hours researching by yourself.

I have learn a lot from this course. I learn how to visualize data and manupilate. Thank to Christopher Brooks to teach me this course and I am highly recommend this course to all those want to do somrething in data science.

Very complete and challenging course. Highly recommend to those who want to get the basics (as it was in my case). Staff is very supportive and constantly answering on the forums.

Congratulations to the University of Michigan

great hands on course, with challenging exercises and fast paced lectures.

the homework assignments need some rephrasing, as it is not always clear whats being asked.

looking forward to the second course in this specialization

I have done a number of courses on Coursera, but this one is different and just awesome. Programming exercises are intuitive and need genuine homework to solve the given problem. I really enjoyed my time with this course.

Nice start for learning Data science. Jupiter notebook helps a lot it is very convenient.

Instructors are very nice they always ready to clear your doubts.

Discussion forum was the best part. It helped learning thing our own

It was an unprecedented experience for me in Data Science, just as it was educating and entertaining. The content of the lectures was pretty comprehensive, the lecturer himself mesmerizing, and the fellow students awesome!

Excellent introduction on data manipulation through pandas. The assignments were challenging and insightful. Even from a perspective of a Data Scientist, this course uncovers how much of the fundamentals I am yet to learn.

I really liked working on the assignments. I had initially audited the course. later converted to graded version just for the assignments. It was worth it as it greatly helped in improving my understanding of the concepts.

Great learning and feedback. I think this course is intermediate level, it is also good if you have basic knowledge since you will be required to further investigate and complement your learning with book or web material.

Assignments are the soul of this course. They challenge you, tests you, make you read up more and get more information. I spent 5 times more time in researching and solving assignments and quiz then on the video lectures.

This was very challenging but extremely interesting for me. I have only started coding in python about a month ago. This course was delight and lectures were very informative and helpful and TA's were awesome. Keep it up.

It's really a useful course, although the video knowledge is not sufficient for you to finish your assignments, you need to read extra documents by learning things helpful for your grades. At last, try work hard for that.

It is awesome and we get our hands dirty on real world problems that one can put in their portfolio and showcase what you can do so I would recommend it to anyone willing to study Data science this is the place to start

This course has improved my skills in python pandas library. Now I am very much comfortable to start machine learning with Python. Thanks to Christopher Brooks for his efficient way of teaching and excellent assignments.

Great class! Right amount of challenging for someone with some Python (or scripting) background to cover some useful Pandas scenarios. Only critique is the coding challenges would be better if error logs were provided.

Great course for beginners in data science with some knowledge in python. Nice techniques for data cleaning and transformation are shown. But one needs more than what is in the lecture videos to complete the assignments.