The interactive python notebooks and the programming assignments are excellent. The course loses a star for the incredibly fast pacing of the lectures, and the off topic data science assignments.

Still highly recommended.

The content is excellent (useful material and instructive assignments). I would have given it a 5 if I hadn't wasted a lot of time on mistakes/ambiguities in the assignment instructions, autograder rounding errors, etc.

pretty tough even though i've been playing with Pandas in the past. But learnt many new techniques. assignments are challenging. It takes more time than what is written. I spent between 16 to 24h on each assignement...!

The staffs are very good at making difficult key points clear and this is a very good course for data science starters. But the auto grader is not good, sometimes I have to debug not for my code but for the auto grader.

Good base material on data science. Not the best python course. Directions were lax during the programming and I stumbled around until I found the formulas they were looking for. Not the best direction on assignments.

Assignments are too difficult，cause if you don't use some special functions like extract（），you will have to stack lots of iterations···but some skills and functions used in assignments are not mentioned in the lecture.

No me pareció que fuera un curso introductorio, por el nivel de las tareas y por la explicación básica que daban de cada tema. Sin embargo, el curso me ayudó a desarrollar habilidad en manipulación de datos con Pandas.

Everything was pretty good and the assignments were challenging enough to help increase the skills of the students opting for this course, but a bit more video lectures could be added to the fourth week of the course.

The course content and explanation is superb, Assignments shall have access to course auditing students also though they shall not be graded, anyways thanks to Prof. Christopher Brooks to deliver such great lectures.

This an excellent course for people who want to refine his skilfulness using Python for data analysis with Pandas, and specially his capability of self learning from internet.

It is a kind of Learn by yourself course.

A well structured course with an extremely helpful and responsive teaching staff. I appreciate the fact that the course encourages students to do further research on approaches to answering the assignment questions.

Overall it is a good course, learned a lot of good things, only the overly optimistic agenda for the assignments was the problem. I had to spend much many hours than the estimated time in order to get the job done.

Good lectures and a good introduction to the subject matter. Definitely requires additional research and practice is weak on Python and the Pandas library. The comments in the auto grading could be more helpful.

A little too hard and vague on the assignments. A really well done course with an in depth approach, a lot of your own learning, a lot lot lot of time debugging your assignments, and great assistants on the forum.

Good but found the final assignment a slog given I couldn't care less about American sports. Something more universally accessible as a topic would be better for an introductory course with an international cohort

You teach well but you need to take some more classes dedicated towards solving problems.

You need to make us all solve a wide variety of problems and then give assignment. This is the only thing that was missing.

A bit hard course to start with. If you are looking to enter in the field of data science, better don't go with this course. But if you have some basic knowledge of field then it's awesome. Thumps Up!!! Go For It.

Is a great course, I don't give it 5 starts not because it is pretty tough (at least for me) but because the lectures are very simple compared to the HW. If you like to be challenged, I fully recommend this course

The descriptions of the tasks are awful. It's not really clear what to do. In the forum you can see, that many other people have the same problem...

The explanations are excellent, and I really enjoyed the course.

Overall the course is pretty comprehensive and requires quite a bit of experience in coding. The lectures are precise and directed. However, some lectures should incorporate further explanation and clarification.

The lectures could have have been more detailed as learning self might be difficult foe beginners. The Assignments were very good and an active discussion forum helped in solving those.Overall I liked this course

a brief introduction to data science in python,and how to use the library 'pandas' and how it plays an important role in data cleaning is being taught,indeed a good course to kickstart for data science in python

This is good course as a whole, but lecture videos are a little short for assignments and sometimes assignment's definition is not clear. So it's hard to complete assignments without the help of discussion forum.

Thanks God I'm just after "P4E"-specialisation, but anyway it was difficult. Additional resources was needed through all assignment. Real help was/is/will "Learning Pandas'-book!

4-grade just for difficulty reason

The questions for the assignment could be more clear with a sample output. Also, the instructions for the assignments could be clearer. Apart from these, the course is fantastic to get started with data science.