This class was super useful. I had a minimal amount of base Python under my belt and some data analysis in R, but this course really got me off the ground using the pandas data analysis library for Python and Jupyter notebooks.

Fantastic course. Quite challenging but it is really worth for people looking to learn python and some of the key concepts in data science. I definitely will continue with the following python courses part of the specialization

I really enjoyed this course, I got some Pandas and Numpy skills. in particular i liked the way as the professor explain. I understood the concept of data science and this gives the motivation to learn more about data science.

I found this course amazing. I learnt a lot of stuff from basics and it helped me understand from the scratch. I learnt numpy, pandas and python programming and I am looking forward for another course from the same instructor.

Great introduction course. Certainly challenging. The forum is particularly helpful in not just helping you get clarity towards the answer, but also seeing how other code might be structured to be more efficient than your own.

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.