Good

Best

good

zo'r

good

good

nice

Good

new

The good: Excellent overall introduction; concise presentations; clear explanation of fundamentals. The bad: Forces learners to choose fictitious project, which has marginal relevance; because the portfolio project is required, it limits the ability of the learner to explore as the project carries over across courses. The ugly: videos often freeze, requiring restart. Overall, recommend course to those with a basic understanding of analysis; however, learner should have expectations that the courses require additional/outside study and practice.

Quite a nice introduction to Python. Learning a programming language requires a lot of time and dedication to achieve something. I think Google is aware that it only has a limited number of hours to teach the basics and it's pretty well done. Based on my own experience, it will take many hours beyond the scope of this course to master Python and to be able to use it as a Data professional but it's still a good starting point. Reading the documentation and practicing are keys to go forward. Nice introduction.

No one grades your project at the end, so that is a bit disappointing. But I guess it's ultimately on you either way whether you are prepared going into interviews with these skills. The combination of videos and readings were very helpful. Most of the time it was clear what previous material I was to use to complete an assignment.

El curso de Python ha sido una experiencia enriquecedora gracias a sus instructores apasionados y su estructura lógica. Los proyectos prácticos permiten aplicar el conocimiento en situaciones reales y fomenta una comunidad activa de aprendizaje. ¡Definitivamente lo recomiendo para quienes deseen iniciarse en la programación!

This is a pretty good course. The quizzes are a bit easy. And even though the Specialization has "Advanced" in title, it is not all that advanced. But I recommend it to get started after completing the "Data Analytics" Specialization from Google.

A very good crash course on python, especially NumPy, pandas and jupyter... If you have prior programming experience than it'll be easier, for a total novice this may take longer than the course deadline...

A great course, explaining what matters, nice examples. i would have loved to get some more advanced examples. and how to choose a data structure that is best suited to the data.

1. Perfect course for beginners and people who have little knowledge of programming.

2. Course does not contain much about OOPs. Just an introduction is there.

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.

Nice course overall, but if I hear the word "data professional" one more time...

this course will definitely help you if you are data science and data analytics

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