Senti que o curso é muito longo para o que tem de conteúdo: poderia ser muito mais enxugado, mas tem diversas vezes materiais se prolongando sobre o mesmo assunto.

I think the course should introduce different tools, software and libraries used in data science. Also, Different data analysis frameworks should be investigated

The course has too much filler, almost like listening to a podcast instead of taking a proper course. It could be more focused and to the point.

every course has 7 course it is hard to complete genuinly each course in this duration and please clear your terms

Too much reading that can be done through short videos. Or, those readings could have been more concise.

This course in not that much needed. We should have started with technical knowledge of tools.

There is nothing technical in the course. Skipped a lot of readings and discussion forums.

The course is for advanced users. Some of the topics learned here were beginner-level.

I think there should be more technical aspects and breaking down of those subjects.

I really think, that Google courses need to focus in technical skills.

A few questions were asked but the topic needed to be learned.

OK introductory course, but it urgently needs an update.

Too project and presentation oriented still informative.

voice is not good not loud enough but overall it's good

too much attention to Job etc than learning Data Scince

I didn't like the final project.

Voice too low.

muchos cursos

algo tedioso

4 Stars

This course should have been titled "How to work in an office at Google". While that's something good to know even if you're not going to work for Google, it doesn't really cover the "Foundations of Data Science" in any meaningful way. Further, the course was full of errors, ambiguities, and things that would only apply in a select few office environments. The quizes seemed to have been designed by someone only familiar with this specific course material and not the subject in general (leading to the above-mentioned errors, ambiguities, etc.) I'm hoping the rest of this certificate program is *much* better as this course was really disappointing.

This is not "advanced" anything. It's basic introductory work to what data professional roles are, and how to organize your work process. Most annoyingly, it's hyper-focused on Google's personal little workflow project, not anything actually used in the real world, such as Agile, Scrum, or traditional project management (waterfall style) approaches or technology. The only reason I'm not giving it fewer stars is because at the beginning it outlines the difference between data science and data analysis, and in that way can help focus your future study efforts, but it's really not in depth anywhere else in ways that are helpful.

Too high level, no essence. Probably good for someone who has never worked in IT industry, but with at least minimal knowledge and some work experience a lot of material is already known. PACE framework is useful, but again - quite basic and just common sense if one already had some work experience of any kind.

The course seemed completely useless to me. Very little attention to technical subjects and a lot of unnecessary useless information. Perhaps this is my personal problem, but I formed some expectations based on a course syllabus that were not met.

The focus on 'communication' was good, but it was very obvious that this was not done by professional educators, because the videos are just 'talking heads' and they are reading from a script, which is an awful format for teaching online.