Gives a great overview of working within the field, but the testing is a little too easy.

Great Course to take up. Get to learn more about the Data Structures and Data Analytics.

A valuable course data provided by the google for the professional certification course.

I wish the course was a litte bit less boring, but the information learned is valuable .

so many technical terms were hard to understand but overall, it was a good experience :)

The course is great in such a way that it gives the basics of the asking phase theories

I feel good, because I learned a lot of things that I didn't know before. 

thanks a lot!

The Reading portions should also have a way to highlight so that its easily reviewable.

Good, but not as fun as the first one. Videos are too basic compared to the activities.

Very informative! Did great job in addressing the most important part of Data Analyst.

It would be helpful to have an option for learning the spreadsheets in google sheets.

just give the interest for the context without making the subject and material lenthen

good as far as beginner, but needs some extra practical exercises and should be graded

Highly useful course especially how to communicate to team members to avoid conflicts

it is deserve 5 stars but the accent of the instructor is a little bit weird for me.

Lots of common sense material, wish there was more technical knowledge to learn here.

pleasantly surprised at how well it is put together and how relevant the material is.

It agreat course but sometime a lost intrest due to its prolonged theoritical nature

I think more information about metrics commonly used by an analyst would be helpful.

great learning experience.....Thank you Google and Coursera for this course........

Course containt is too good but the instructor voice and speed is quite hard to get.

fantastic! i like it all of modules...thank you giving me this great opportunity*

it has a lot of useful information of the 1st phase of data analysis which is "Ask"

This course more & more study for data , data analysis and questions, and function.