The course explained in brief, rich in theory but not much in practice, so a lot more individual learning is needed more than the time taking of this course

This course is a fairly good introduction. Expect to spend a good amount of time searching forums for guidance on completing some of the weekly assignments.

The coursework was amazing but if the student start without having strong python knowledge, it can turn out to be very difficult especially the assignments.

I like the assignment a lot, but the course material part contains too many talking. I would like to suggest it includes as much as coding, and less talking

Good course.

Some trouble with the assignments, difficult to understand what's wrong with one submission (could be good to have someone look at your code).

Nice course. I really liked how I could proceed at my own pace. The computer-graded assignments were very helpful and the Forums were good sources of info.

Will require a lot of individual research and working through the finicky lab grading system, but it's worth it if you want to learn the basics of python.

Some task descriptions in final assignments were not fully clear so I had to resubmit my work to pass. Otherwise, was good to refresh my pandas knowledge.

Content of this course is very practical and good. I find it bit difficult to understand language since explanations are fast and contains a lot of terms.

Great intro to handling data with python tools. I love the fact that "why" is answered and not just "how" to do your research. Easy to listen and follow.

Very good course and I learned all the new stuff like pandas, numpy and hypothesis testing etc. Assignments were very good to concrete my understandings.

Good introductory course, challenging to basic level and forcing to use new technics and think out of the box. Recommended for first contact with Python.

Overall it is a very good course. However, it seem that the programming assigemnet requires more instruction and the quiz requires a lot of self study.

Maybe 3.5 stars, the material is good, but unless you are active in the forums (and others are as well), the assignments can be frustrating to complete.

Very well prepared. 4 stars because it only scratches the surface of data wrangling with Pandas. I'd love to see more comprehensive course about Pandas.

Some of the assignments were very hard compared to what what our instructor teaching,

Our instructor teached us well but the assignments very quite hard

I feel, lessons are very brief. Should have some better coverage of topics. Assignments are good to challange your mind. Overall it was good learning .

Very good introduction to data science with python (numpy, pandas).

Only negative aspect is that the assignment questions are sometimes not unambigious.

The lectures can include anecdotes & more relevant examples to make it more interesting. The notebokks & assignments are very well designed. Thank you!

Good course material, covered every topic in depth. A bit fast paced so need to give due time to each video lecture as they contain a lot of material.

Buen curso introductorio con Pandas. Me sirvio para conocer la forma de limpieza de fuentes de datos y su union para luego hacer calculos estadisticos

it was very exciting but so fast and requires a good background in Python. I think it is not suitable for people from for example C or C++ background.

I think the course Assignment is difficult and the course theory is not up to assignment level, I found difficulty in solving nearly every assignment.

Good overview of fundamentals. Could do with more information on last few parts that feature quite heavily in the assessment (e.g. statistical tests).