Nice course but the assignment is too hard for the beginner, and the assignment and the course materials are not match enough. We have to do a lot self-study when doing the homework. But the skills I learnt from the course is really useful.

This course worked better as a guide than it did as a course. I learned very little from the lectures and had to do most of my learning on my own. One of the assignment even explicitly told students they would have to go learn on their own.

Pretty descent course, however it felt like most of the course consisted of the assignments and self-learning rather than instruction. That's probably ok given the content was more oriented around tools and less around concepts and ideas.

most of this course is really great. but I do think the assignment doesn't match the course very well. To finish the programming assignment, I have to go through a lot of materials and documentations. I hope the teacher could cover more.

Excellent course to get you started with dealing with data. You'll learn a lot about Python, Numpy, and Pandas, and the best part is that you'll get your hands dirty dealing with real-world data and you'll also solve real-world problems

Muy buen curso, sin embargo deberían actualizar la versión de pandas y demás librerías en los libretas y assigments.

Very good course, however they should update the version of pandas and other libraries in the notebooks and assigments.

Good contents, but very poor grading system. Had to guess what was expected. For instance, get_list_of_university_towns (week 4 assignment), I set the indexes on both columns, which led to failure. After I removed the index, it passed.

Great introductory course on data science in python. However, the final projects diverts significantly from the course material, requiring vast amounts of self-study for someone new to Python. Definitely learned a lot in this course.

This was a good course and quite challenging. It requires a lot of self learning if you are not familiar with pandas. I wish some of the technics that were required to solve the assignments were better explained in the course material.

This python is mostly an introduction to the Python Pandas API. It teaches everything by example, but at very fast pace, and the videos are really just preparations for the assignments, which can easily take more time than specified.

Very good course, analysing very important Python tools to be able to create data science projects using python, course and videos were a little bit fast for me especially when i trying to understand native speak of the professor.

Great course, especially the assignments were very useful. I only gave 4 stars because some of the assignment questions were not defined precisely as also highlighted in the discussion panel. Would definitely recommend this course!

There should be more information on every function as to where and when it should be used.

It was a bit difficult for intermediate level as well and there must be some more information on how to use it for data science. Thank you.

Instructor is very good, course material are enough, but assignments are more difficult than I was expecting. They require a lot of research and dedication. Overall a good class, but take it if you have enough time to complete it.

This course has good content, but I felt the speed was a bit too fast to catch up. Since I had already done a python course, I could understand some terms. But this course would not be for a beginner with no background in python.

The course content is good. Assignments are tougher. Especially the last assignment. Lecture videos could have been more aligned with assignments. Had to go through a lot of other materials outside the course.

Overall satisfying.

Overall course is good and challenging, however I don't like automatically ranking system, most times I need to submit same answer to precise decimal, however might be my code is correct but slight issue and I don't get any grade

Great course to get started on with Data Science. Lectures are simple and to the point, questions are challenging and practical. Adding a little more theoretical background to the subject would bring more strength to the course.

Really good course with challenging assignments. However, the grader has some issues, for every assignment I had to spend more time trying to figure out how to make the grader accept my answers than actually solving the problems.

Excellent assignments, lectures very fast-paced and didn't cover all the material needed for assignments (which was kinda the point - you learn Python by trying it over and over again not by imitating what you saw in a lecture).

The course was great and I learned a lot. Minus one star, because course required a lot more work than initially expected. Note, though, that this was probably mainly due to me being new to Python (coming from another language).

Great course, requires much self-initiative because not all useful methods for the assignments are covered in the videos. Sometimes Assignment Questions are not described very clearly.

All in all I enjoyed the course very much :)

I enjoyed and earned alot of knowledge through this course and I am very happy to earn a certificate. On knowing the teaching method I am interested to do higher in such a prestigious university and hoping to get higher in MIT.

It's a good course over all. There is only one thing that I would like to suggest, which is that the autrograder does not seem to work well. It really wasted me lots of time to get the RIGHT ANSWER understood by the autograder.

Great course, assignments take more time than listed, and I found the discussion forum very helpful to learn more about the assignments and interact with other classmates. Overall I learned so much of commands from this course.