The course gives a great overview on how a data analyst thinks, poses questions and prepares their work to start a task on the right path. It also contains useful information on what to do in conflict situations, who to contact and how to politely react and communicate, which I found very valuable.
My main problem with the courses so far is that they feverishly focus on definitions. The way concepts are explained are very lacking and dry. They are in desperate need of visuals such as graphs, animations and screen captures. All these topics can be perfectly shown visually, so I can't understand the decision to almost exclusively have someone talking to a camera. The people are sympathetic, but all these concepts are abstract! There's a bit of an irony considering we learn that preparing data to stakeholders in a way they can grasp the information is important. So why not treat the students the same way?
The course challenge felt out of place and didn't really build on what we've learnt. It's strange we're focusing so hard on definitions and glossaries, but end up only needing an alarmingly shallow end-test to pass the course. It would profit from a timed exam that has far more questions and that actually makes the student utilize the provided spreadsheets, rather than having it all pre-chewn, only to peek at and ticking one of 4 boxes. Otherwise this course is set on the right foot. It's all there! But the execution feels very lacking and disappointing.
Dear Google Team, your work so far has been soooo great and I'm absolutely grateful you provide this opportunity, but this course definitely needs a lot more polish!