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).

Gave me an insight of how Data Cleansing, Eliminating Noises and running Statistical Analysis can be done and it gave me an exposure to Data Science.

This course is much more useful for someone who wants to get a touch of data science but one should have some basics knowledge of python programming.

Great Course. The assignments are challenging and this gives you an idea of how difficult it is to clean and perform calculations on real life data.

The submission of last assignment is troubsome due to system design. Takes time to solve it. But it gave me a lesson how should I write robust codes

Requires most projects to be completed without the videos help. Need to research and find answers elsewhere. Also need to have good sense of python.

Very challenging course. But you can really learn something by solving challenges, right? It depends on how much you want to learn from the course.