the kaggle section is not aptly explained. also the BigQuery video section had problem with we as a course student not having that public data set in system, so could really not do practical task mentioned

Week 3 is so awful, that I am giving this course one star before even finishing it. You have students considering dropping the course because of the issues. It needs to be fixed immediately.

Support was very poor. I had an issue where the video and actual working on BigQuery wasn't matching up. The course took me longer than expected, and support was helpful at all :(

There is very little practical information contained in this course. I am extremely disappointed and don't feel this has helped me learn how to prepare data at all.

I may have to give up on this course at this point. The instructions in Coursera are not matching what I see in BigQuery. I'm just lost at this stage.

Redundant.

Instructor quizzes arranged in such a way as to be intentionally tricky.

Not clear, not instructive, distracting style

I am having trouble with big query and SQL

missing things like the run buttons and on the left side the BIGQUERYPUBLICDATASETS

This course does not teach data analytics (how to add value with data analysis). It teaches tools used in data analytics.

not updated, had to find material to fill the gaps for not updated. no support for the google team. poor test quality

I could't complete my assignment as the dataset is not responding as required bigquery-public-data

Course is over-simplified. Author spent way to much time to create new naming conventions.

all information isn't available in bigquery. Makes it hard to do quiz and weekly exam

I cannot access this video as well as other videos in this course.

Among the poorest courses and instructors ever encountered.

Poorly executed, poorly structured, and poorly verified.

Not very informative . its boring no practice

Big Query section is very confusing

hate this course lol

very basic vieos

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