Great course, demands a lot of self learning to be done, definitely not for those who expect to be spoon fed. It's very frustrating at times when you've got to put in a lot of hours for a single question, but in the end the course makes sure you learn at least about 70% of what is taught.

Best course I've taken so far, I feel more confident about my knowledge in data science, especially working with pandas library. I can say that this course is a huge step in my journey to becoming a data scientist. Thank you University of Michigan and it's tutors for the great experience!

a very hands-on course. this course not only just teaches your the basics of this subject, but also encourages you to seek and acquire domain knowledge from various online sources and try out various ways of solving problems by yourself, which in my opinion is much important for a coder.

The course is very good; the only comment I have may be that the assignments take a lot more time that what is stated, finally in the last week I decided to go through the contents (not the quiz or the assignment), in the first day, and then use the rest of the week for the assignment.

Only giving this course 5 stars due to the structure of the assignments. They really implore you to go out and learn on your own to solve the problem. The videos themselves i found subpar, the lecturer talked too fast and didn't show enough coding or example to really grasp the concept.

The course was built for an online platform such as Coursera. The instructors are great and the theory is easy to follow with the Jupyter notebook. The assignments are relevant to the course material. I liked using Jupyter notebooks to complete them and get the grade almost immediately.

This course become heavy in self learning which is a very much as it is in the real world. The online forums were very helpful for clearing up any confusion about assignments. The assignments were difficult at times but provide enough real life scenarios for learning python and pandas.

Challenging and well worth the effort. This course shows you the basics of what they need you to do then leave you to research on what you need to do to combine said skills, and a few other supplemental skills you need, making sure you generalise and are able to work in the real world.

The Course was really good to make people understand what it means to be a Data Scientist. The projects are very involving and I enjoyed every part of it. The lectures for last week weren't as elaborate on the topics in my opinion, but the course along with the projects was very neat.

Great introduction to data science techniques if you have some prior experience with Python. The assignments were pretty challenging for me because I am newer to this, but they really taught me how to search for answers online. Much more confident in my python data science skills now!

Some of the questions were unclear, resulting me having to guess what the questions are asking for, and spent lots of time browsing through the forum. Understand that the autograder is necessary, but perhaps the questions could be worded more carefully to avoid unnecessary confusion.

it is a really good class, very informative and gives you a really good base in how to use pandas, numpy. my only complaint was that is was to fast. I did not feel that there was enough explanation for each concept. the homework took me a lot longer then the time it said it would.

This course is highly recommended, as after completing this course you should be ready to analyze your data, clean your datasets, and manipulate it. Also, it includes hypothesis testing, which you can apply on any data-sets to get answers to many insightful questions for that data.

learn a great deal of things that I didn't in my college courses, did it on my own and my own pace, with the resources and videos provided , the assignments were challenging but took me to develop really my skills and I loved it, Feel I have great pathway to become a really expert

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course offered great new stricks and code hacks that would reduce the number of codes dramatically and makes the code a lot cleaner and readable. We have been doing similar stuff the hard way. So it is very refreshing to know how easily it can be done particularly with Pandas.

See guys, the course will truly help you in starting something big but the professors wont teach you everything they will obviously give you a hand and you are the one who need to stand up. So if you are ready to work hard, remember the word "work hard", then only take it.......

Very helpful introduction to pandas. I can already think of several applications. The Jupyter notebooks accompanying the lectures were very helpful. The assignments were well thought out, and the TA posted some helpful commentary to resolve some ambiguity in the instructions.

Very good course! The best way to learn any languages is to use it. Having assignments graded really pushed me to write in Python. The teaching assistant Yusuf always replied to students' questions very promptly, which made this learning experience even better. Thank you Yusuf!

It was a great course! I definitely improved on my use of the pandas library and learned a great ton of its functionalities and how it can be used to test hypothesis on groups of data. It really is quite a helpful tool to perform analysis on big amounts of data in little time.

A very challenging course. The assignments are the best part of the course and it takes up a lot of time and patience to complete them. The discussion forum is fairly engaging and the mentors are very responsive. Overall, this course is a big boost in the field of Data science

Relevant graded assignments and quizzes made everything interactive and also helped in improving my skills. Definitely recommended for someone who wants to go from beginner to intermediate level. The course also provides scope for own research and informative study materials.

The only problem is that the notebook connection to server is quite weak. Sometimes I got rated 0 for failing to saving my latest answer. The overall class is well-paced and the difficulty level of the assignments are quite well organized too. Would recommend it to beginners.

In assignment 4, the description was a bit confusing, I did not need full understanding of the data, nor did I need to google any teams, all the data was provided within the sheets. It could have been much more simply especially to someone who is not really that into sports.

Some of the questions were a little unclear, but overall this is a very well put together and informative course. You will learn a lot, and I will be referencing the resources here later. Note: this is a more difficult and time-consuming course as far as coursera courses go.

Good course to learn the basics of Python that you need for data science. You would be doing any machine learning in this course, but you'll learn how to do data prep and analysis in Python. Highly recommend if you have no to limited experience with Python, NumPy and Pandas.