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

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

Too project and presentation oriented still informative.

too much attention to Job etc than learning Data Scince

Misleading title. MAKE SURE YOU READ THE COURSE MODULES IF YOU'RE TAKING THIS AS A STAND-ALONE COURSE. "Foundations of Data Science".. more like "Foundations of Project Management FOR Data Science". Guess it wasn't a bad course, and I'm only taking it because it's part of the Advanced Data Analysis Certificate BUT this course didn't really delve into any foundations related to Data Science. A lot of the information felt redundant and repetitive; didn't really feel like an "advanced" course IMO and didn't build off of anything taught in the prior Data Analysis Certificate (which was Beginner). For example, I know what a portfolio is. This course is more geared towards how to manage a data professional project. Overall, quite disappointed with this course only because the title is misleading. I do NOT recommend this course if you are taking it by itself.

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.

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.

instead of giving technical tools, this course “talk” about how to become data analyst with many unrelevent data, they also invented” PACE ‘ instead of the steps learned in the basic proficiency

Interactive but very lengthy for no reason. They expanded 4 topics (PACE, RACI matrix, Project proposal and Executive Summaries) into 5 modules. Hoping for better.

This is very obvious stuff for what is the ADVANCED certificate. It felt like a waste of time for the most part, but the PACE model was okay.

I liked the PACE module, Informative and nice to know, rest are not so intriguing and instead of focusing just on diversity and other trendy things stick to your primary role which is tutoring as best as you can to uphold the brand's name your carrying! I cannot believe that you just putted some soulless reading from teleprompt some boring texts! put some professional adult who has knowledge and can explain form his experience and understanding instead of trying just to act and smile!

If you want to learn something in the most unoptimized manner, then this is the course for you. It wastes so much time on useless things, on useless theory, like how to communicate within the team, with the client, and stakeholders, and many other such topics, which are not at all needed and should be optional in Appendix or something.

That is not foundations of data science. That's more like a discussion on data science and what people do. Nothing more than that. The whole thing could be done in a 10-minute video. Quite a few repetitions.

very basic and not related to technical knowledge what is actually required for a job seeker

Not necessary for people with experience. Just long videos and repetitive content

I found this to be uninteresting. This is a recruitment course for Google.

I think a lot of this is un needed and can be skipped

my name is not on the certificate