My First course is "Foundations of Data Science" at Google Advanced Data Analytics Course , It teach me to Handle the PACE workflow at any data project, and Guide me to be a great communicate person to all, and Introduce the several website for my studies, and Teach everything on Foundations of data science, I'm say thank to google to teach me with minimal cost of this course "Thank You Google"

Foundations of data science are the fundamental concepts and principles that underpin the field of data science. These foundations encompass a range of subjects, including mathematics, statistics, programming, and domain knowledge. Here are some key areas typically considered foundational in data science:

It could be helpful in upcomming future

I understand the relevance of the information in this module, however it is very dry and not a fun start to the analytics certificate as a whole. I would recommend redistributing the material in this module between the others to make it more bearable and put it in context.

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.

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

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.

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.

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.

Foundations of Data Science is misleading (It's foundations of Data analysis). Also to not be able to get the certificate until you pay is irking. Also found some brain washing in the course particularly with coaching. I do like the PACE structure and the communication part.