I would say this is a good course for beginners to intermediate. Unfortunately I had a already covered a lot of the content so I didn't learn much.

This course offers lot of detail Python programming resources. I'd personally liked to see more of programming exercises and examples.

need more some basic problems on data structures and data handling.

Its A good course for data analyst to build its skills better

Nice course but not so explanatory for a python beginner.

excellent learning outcome with python

Jumps around a bit too much

Very good and to the point.

great learning course

It's a good course

very insightful

thanks

Practicing python during the program is for sure one of the highlights of it, however I would expect a lot more advanced practices to be thought during a course that has the 'advance' label in its title. I liked the way that combines the steps of a project , from the planning and executing , to the presentation of the findings. I didn't like that the project's lab was so much driven by ready notes because it didn't let me to struggle at all and it was I just typing things without any problem solving action to be need by my side.

videos where not that effective compared to the readings and there was too much to learn with less examples, it would be better if they provide more readings than links for further studies, because not everyone is going to make an effort to open the links and study.

This course was interesting, but I didn't find it as rigorous as the previous courses I've taken from Google. I hope the future courses in this specialization are a little bit more challenging and help me grow my technical skills.

Pretty good scope and nice exercises for entrenching what you learn. But you need to do a lot of self-learning through Python documentation and own research, which you could do without having to enroll for a Coursera course.

This course is very much designed specifically by keeping data analyst/scientists in mind. Maybe those parts can be removed from here and add more Python practice sessions.

Have some previous knowledge of Python before taking this course. You'll find it much easier to follow.

theorical

Very unimpressed. This course could have been much more useful if they had focused on using python to address real world problems, rather than spending so much time teaching individual functions. It's like trying to learn Excel one function at a time rather than working on a problem and solving it. They did provide real world examples, but the way they did it was way too structured. This is not how real world problems are addressed. They should have had the instructor take us through several examples of how he used python to address real world problems. Watching him go through the learning would have been very instructional and very helpful. What we got was a bunch of lectures on the individual components of python - not helpful for beginners. These lectures would have been more helpful after we knew how to use python.

Too easy, assignments and test do not test. Everyone will pass this. Sometimes just outright wrong information. Even in an assignment the answer is outright wrong. E.g. it is wrong to claim that parantheses are used to create a tuple. Tuples in python are made by commas not by parantheses. You only use parantheses to border a tuple when needed. The course is totally basic. If this is all you need to be advanced in data analysis in python everyone is advanced in data analysis

At my opinion at the beginning of the course it was good but after orders of code getting more the illustration turned to be only reading the syllabus also at the project no illustration and some new things appeared ( code ) at the model answer .

It was very difficult for me to rate this course. If I were to look at the course independently, it was at the level of an introductory review of Python and Pandas. But it was good in the whole certification process.

In the Laboratory, there is some content you need to seek in the web to solve the exercices :-( In case you do the course in different days, don't forget to import pandas and Numpy again.

The course was not what I expected from Google. The explanation was very brief, and there was no comprehensive explanation for each point.