Thank you for the intriguing course.

Please revise the description of the run_ttest() of the assignement four. In the header of the assignemnt, the ratio is defined as (price_ratio=quarter_before_recession/recession_bottom). However, in the body of the run_ttest() , it is described as (price_ratio=quarter that recession starts/recession_bottom).

While the course lecture material might be thought to be just Intro and i expected more on the lecture part. The assignments are really of good standard and really make you do the homework and research on your own to complete. so at the end of the course you do feel more comfortable and confident on the skills gained albeit at the beginner level

Overall, the course provide good background information on using python numpy and pandas. The assignment were helpful in applying the course knowledge. Unfortunately, some of the assignment instructions were vague which made completing the assignment harder. Had to consult the discussion forums for help on completing several of the assignments.

This course will not be my most favorite course but it has a knack for making the students work hard to get to the longed point. i had to do a lot of study outside of it and it paid off. I lacked total guidance on python before starting the course too. And I kinda hit two pots at once. This course will teach you more than they have promised.

Great course! If you want to learn more about NumPy and Pandas, this is the course that introduces those libraries. Be patient with the assignments. Even though you think you have the correct code, the autograder sometimes disagree. Dealing with this problem, there is a lot of help to get in the discussion forums. Great instructors as well.

Challenging course with little hand-holding and some independent learning is expected. Marking for assignments was needlessly stringent (e.g. numpy float vs python float) and expectations of answers was not very clearly outlined. Had to trawl through the forums. Nonetheless, very good exposure to pandas for someone just getting into python.

The lecture content is rather short and you have to search a lot on your own. I like the assignments at the end of each week, completing them helped me to understand what I am learning. Good introduction to frameworks, pandas and in general analyzing data in Python. It's quite a lot of work but when you finish, you can be really satisfied.

Some of the assignment questions are difficult understand without the help of course coordinator. I appreciate the help from course coordinators in guiding to understand the question. It was my first course in the series of Python and I could follow everything it was tought. But I am not happy with the short time assigned for the course.

The course is a must-do for a person new to Python, however it ramps up very quickly. I had done another python course before doing this, which helped me do this one. The assignments were challenging in my perspective; however cracking the exercises gives one lot of confidence. Forum discussions helped me a lot to complete the assignments

This is a very impressive course for someone who wants to get an intro to data operation in Python. The assignments are very well laid out. The automatic grader gives good insights of what may have gone wrong.

One thing though- there could have been more concentration (especially in the assignments) on grouping and slicing the datasets.

Spent more time figuring out what was being asked in the assignment rather than solving the assignment. Typos in assignment questions led to wasted hours without understanding why the grader kept rejecting solutions. Course content was useful and I would recommend if you are willing to live through the pain of the assignment submission.

I'm very new to python and the course has been pretty helpful. The format of having the notebook to walk through the course is also helpful. The course's assignments are pretty good too - but could be improved. Some of the instructions are vague/conflicting and I had to spend a lot of time figuring out / confirming the question intent.

First, I would like to say thank you. I learned a lot about pandas/numpy via practising in the assignments.

The assignment content is very good. But the guide and program checker are so poor (as other students mentioned in their reviews). I wouldn't pass the the assignment if I didn't read a lot of tricks/explanations from the forum.

Solid course. Still very challenging without more pointers on basic syntax. There are a few inconsistencies in python that makes debugging challenging - and I don't know what to do about that. Otherwise, the course achieved the goals.

One thing that would help would be more testing on basic knowledge of how to access panda dataframes

frankly, it takes a lot of searching information on one's own, outside of this course.

I raked my brains for the most of Saturday and Sunday and finished two last assigments although I still don't feel strong in pandas, neither there is much material left here for me to come back and review something step by step in a systematic way.

Got to learn new concepts of pandas and numpy libraries. The course is very informative, and provides a good amount of basic knowledge, through which one can proceed in the field of data science. Things I didn't understand well, were the ttest_ind library and the matplot library. The lectures should be improved on these concepts.

Videos could include more information. Instructions in assignment 4 were not sufficient. Had a lot of difficulties in assignment 4 as I could not understand the requirements in question correctly. Questions could have been more detailed and stepwise.

Links to some datafiles have problems. Could not easily download some datasets.

Great course for a Python beginner or someone who just wants a refresher! The video lectures were pointed but not too in depth, allowing the learner to explore a bit within the assignments to get even more information from the interwebs, which is what just about every programmer does anyway when they forget syntax or something.

Interesting course, learn new approaches in using Pandas libraries. One remark, the evaluation of the assignments takes too long, for the last assignment all the answer took 2 minutes to run on my personal laptop while it took 15 minutes when submitting it. I spent a lot of time just waiting for the assignment to be evaluated.

Very interesting subject and data science skills are definitely currently in demand. The only thing that bugged me was that the grader didn't give much feedback on anything you did wrong. On the flip side the mentors did a GREAT job (kudos to you guys). The discussion forums were vital and they were really well moderated.

content is good, and exercise is very relevant for learning. only problem is the exercise is very hard and cannot be finished only with content covered in the lecture, you need to do extensive self learning and take a lot of time outside the classroom. for those without python experience before it is a steep learning curve.

Update your Pandas library and the explanations for all projects. It is very frustrating because you have to deal with both: 1) lack of clarity in the text and 2) missing features for the library we are using. Don't get me wrong... I learned a lot, but it kinda feels not enough when compared to the unnecessary frustration.

I found the material of the class very useful for someone that has no experience using Python in data science topics. However, I feel some topics are given too fast. I also found some issues with the autograder that do not have any implication with the goals of the class but that are important in order to get the grade.

The class is interesting, but I don't feel like the lectures were good preparation for the assignments. I understand that it takes some reading or study beyond the lectures, but there weren't any other materials provided. The Pandas documentation is big and it's not helpful to just go read through all of the docs blindly.

course is very good to learn the python basic pandas, numpy libraries.

I would prefer to have a reference book associated to the course so we reference to it, it will be great for future while coming back and read what we learned.

The grading system consumed most of my time to make sure to have my answer graded correctly.