The course provides a solid foundation in data analysis, but the instructors often skip over small yet important steps or details in each video, making it difficult to fully grasp certain concepts. I have frequently had to rely on AI to gain a clearer understanding.

I didn't find this course useful for the purpose I was looking for: use data and practice how o analyze it. It was more like glossary overview of role taking on a project. Maybe it just wasn't for what I was looking for.

The content was decent and a good reminder. But it was sometimes a bit fluffy and the instructors give these "motivating messages" that are just there to keep you on the course. But overall a good course :).

This isn't really a foundation of data science as much as it is foundation for project management in a data professional role. There is very little actual data science instruction within.

Loads of very good information. Zero application. The Jupiter notebook is not active. Therefore the application to the coding learned is non existent within the certification platform.

Many things are repetitive and can be removed. For example "Role of a data scientist" has several videos and reading material, all essentially talking about same things.

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.

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.

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.