I learned a lot. But be aware that programming skills are a requirement for this course and that you will have to research the web (stackoverflow, pandas documentation) on your own a lot.

Good course i.g! But it is quite annoying, that the auto grader (python 3.5 ?) does not behave like the online coursera notebook (python 3.6.2), which leads to errors at the evaluation.

Course material is good, covers the right topics to get started with python and pandas. Assignments and especially the grading process require a bit more patience than I was expecting.

I enjoyed the course, but I think the exercises could be improved a bit. Especially in the last two ones could have better explanations and examples of what's expected from the answer.

You will learn a lot, by yourself to solve the assignment.

Which could be see as a good way to learn

Time to do each assignment is clearly under estimated. You can multiply by 2 easily

Too much self-learning taking into account that this is supposed to be a course, could make example projects for better understanding instead of jumping right away to the assignment.

The course was fine, but the last assignment was too hard for me. And I think that for Introduction to data science - the first course in the series it shouldn't be so complicated.

Amazing course for an introduction to the pandas library and its main data structures Series and DataFrame.

Improvements could be made to the hypothesis testing section of the course.

Great explanation. But the speed of tutor is quite fast, so one needs to rewatch again and again. And for better understanding one has to practice questions from external resources.

I think i could be better if in a single module we checkout just a single dataframe and try to extract and transform the most data as possible insted do it with severals of them.

You should break assignment into smaller substeps. You should also provide more comments like 'your dataframe size is incorrect or starting from which line you result has error'.

It's a really challenging course for someone with an intermediate level of Python and pandas, I really enjoyed . The only minor point is the quality of the theory on the videos.

Requires some knowledge of the topics covered, otherwise the lessons are hard to follow.

More examples should be given for each topic, to consolidate the student's understanding.

GREAT assignments, average-ish course instruction. Would recommend just for the assignments, great way to get your hands dirty with data manipulation work in python using pandas

Prior coding experience would definitely make this course easier to pick up. A lot of the learning i found isn't driven from the videos itself but from just constant googling.

The video of this course are good. Assessment questions and the expected format of data need to be clarified so that we really understand what is expected to pass the course.

This is good course but you should really have good knowledge of python before doing this course. even if this is introduction course still python basic knowledge is needed

The accent of the instructor was too fast, which made the content incomprehensible. The course unfolded very rapidly, giving little room for beginners to understand on spot

I think, that the structure of the lectures made it difficult to concentrate on the material, but the assignments were very good and I have learned a lot while doing them.

First three modules are great but in the last module (Week 4) Prof Brooks is rushing through many topics. Probably consider having lesser content with proper explanation.

The instructor doesn't explain that much, he could do better than that. It is an independent study. The only thing I enjoyed was the links and the articles, that was all.

Course has a great amount of information that is wonderful, but the instructional videos are less and less helpful as time goes on, and the autograder is the devil.

The course content was good but the assignments were way too tough.The assignments should have been a bit easier because i lost interest due to the tough questions.

The programming assignments were a little frustrating.

I feel a little more time should be spent on the theory behind pandas and how the library works conceptually.

I think the assignments waste too much of my time since I have no problems using proper programming skills, but have lots of problems catering to the auto grader.