A strong introduction to python and pandas. Be aware that the version of pandas used by the grader is slightly outdated, so periodically check your work using the online notebook to make sure that the functions and methods you're calling are compatible with that version.

Very good course.

Some of the question seemed a bit diffuse and made answers hard to find, which made the estimated time rather far off, hence only four stars. Other than that I enjoyed the lectures and especially the articels that made me think deeper about some topics.

Contents are very good and assignments are challenging. Perhaps I struggled most trying to understand what the questions actually ask, they should be rephrased or be more clear. But it was a nice course and I would to it again. I am waiting for the next courses to begin.

I would highly recommend this course for beginners who wants to get into core Data Science field. The course familiarizes participants on how to handle data including wrangling, cleaning and manipulation using pandas and numpy modules. The contents are well organized.

It deserves five stars for assignments (they are pretty difficult - I think it's actually good), but lecture videos are very shallow and you have to learn material on your own, so I would give it at most three stars. Averaging over these two aspects gives four stars :)

I like the structure of the course and its content. I would like the assignments to show the values that we must achieve (or at least the beginning of the value), so that we can have idea and find our mistakes faster, I took double or triple time to do the assignments

The material in the videos can be more elaborate, as a lot is left to self studying for the students in order to complete the assignments. The assignments are challenging, which is good, but the video tutorials don't give you sufficient skills too tackle them head on.

Quite good course, but the principle of noninformative autograder is devateting.. A tipo in one part caused I've been working on the last assignment for hours... It'd be better to include some more information/checkpoints or to split the tasks to several smaller ones.

The course is great but the assignments are a real pain in the $#&@.. You can get the right answer but still spend another hour getting it in the very specific format that the evaluation algorithm wants it in even if it's not mentioned anywhere. Otherwise recommended!

Good course design for mediate level programmer who is interested in Data Science with Python. Reading materials is lacking references. All of them off site study you have to do are relied on yourselves. Without off site study, you wouldn't complete the course.

Excellent course, I learned a lot especially through the assignments. Missing a fifth star because of a lot of issues with the notebooks autograding, and sometimes imprecise instructions in the assignments. Still I look forward to working on the next pandas courses!

Although this course covers the very basics (and does not really teach you about how things work), you can learn the most with the assignments, since it is very likely you will need to go through the docs/ forums to get it done. Very good intro to regex and pandas.

Good course. But the Assignment is very tough. It requires almost everything which is not covered in course. So its like reading on internet than this course. I would be happy if this course will cover the topics on which the assignmens has question. So we read it

Although I had some background with Python and Pandas, this course brought new insights in both. With practical examples, it reinforces the conceptual understanding about working with data. I highly recommend this course even if you are already familiar with Pandas

Hace falta abordar mas temas en las conferencias o mas ejemplos, es bueno buscar y explorar por uno mismo las capacidades de les herramientas pero en cada assigment es supremamente complicado, mas aun cuando la respuesta debe ser exactamente igual (sin redondear).

It'd be easier to master the course with a trifle more instructions from the lecturers as to what constitutes a particular function, and what do its parameters refer to. Primarily, I did struggle with having to browse the Internet in search for these explications.

It is the most difficult course I have ever taken at Coursera, but it is also the best course I have completed. It's a different level of Python than the one I learn at my university. The only thing that is neccesary to improve is the video examples of the topic.

While I learned a lot, it was mostly self taught. The projects were appropriate but the notebooks and videos were only marginally useful in completing the projects. I consider the course more of a directed study than a traditional classroom learning experience.

A good course for the data preprocessing and getting used to the NumPy and Pandas library in python. An overview in provided in the contents and video lectures but the refrence books are very much helpful to understand the course.Also assignments are very good.

The topics are useful and the videos are good, my one gripe is that in my experience the assignments take much longer to complete than the suggested time. I was completing the training alongside my fulltime job and had to push back my deadlines several times.

I thought this course was very interesting. The assignments were a little more difficult to complete than I expected. I think a few more smaller assignments that highlighted the skills necessary to complete the final week's assignment would have been helpful.

Excellent material to get you quickly started in data-science with python. The course coverage is less, covers just a few topics. The assignment problems, at the end of each week, are of high quality, but the issue detection can be sometimes be daunting task.

Assignments are very good....the background of video's is distracting and explanation of examples just by talk and without proper slides is not so good.

Please adjust the time it takes to finish the assignments to at least twice the posted approximate time.

The materials are very limited here, most the learning is done from outside materials. While on one side it is good because we have to actively researching, it will be better if they provide a bit more of materials here. But the assignments are really good.

Very helpful for learning data science, but the videos go way too fast and don't cover nearly enough material to do the assignments. The assignments do force you to learn how to python, but through lots of googling, stack overflow and pandas documentation.