Thumbs Up!

Amazing :)

EXCELLENT

Top Notch

excellent

Great one

Nice one

good one

Great

Good

good

good

good

Nice

The course does a great job in introducing the (neuro)science behind visual perception. It explains concepts like Gestalt Principles, Cognitive Load and Clutter, and how to leverage them in creating/improving a Viz.

In the second part, it covers Exploratory analysis and how to design a successful Viz relative to the audience, by considering static and interactive visuals.

I have particularly appreciated two parts:

1. Gestalt principles. They are easy to grasp yet powerful.

2. Outliers and how to make Control charts.

The following could have been improved:

1. For some topics there is too much repetition without providing deeper/additional content (e.g. Gestalt principles);

2. For some topics there is too little practice (e.g. in module 4 about design, and training with gestalt principles other than colour or proximity).

# Good:

+ The structure of the curriculum is very clear and well designed.

+ The content is very relevant to data viz. (design principles should always be the first course to learn)

+ For those assignment rely on peer-review, the waiting time to get review is reasonable (less than 2 days, mostly in 1 day.)

# Things to improve:

+ There is a gap between material taught and the homework assignment. (And I understand that this course focus on design principles instead of actual application on tableau). So, sometimes it brings frustration.

# Tips:

+ Post on the forum to ask cohort for peer-review. It speeds up the peer-review process.

+ Some techniques required to finish the homework might not mention in the lectures. Check the forum to find hint left by former students.

Well, structured course as knowing the fundamentals is essential for future buildup and implementation. However, a few things we're hard to follow as the presentation was in old tableau, and we are current newer and better versions.

We need more examples to play around and get the hang of the software.

Great courses. Sufficient practice, and the quiz itself really challenges our understanding. Final project is fun. Not a great option for those who want to learn the technical skill, but suitable for those who has bad sense at visualization (such as me) to understand how we should design chart.

The course is very good. The only thing I felt that there could be a case study at the end of each week to do the practice. We can find a lot of case study but practicing that at the initial level don't make us feel if we are doing it or analyzing it correctly.

A valued view of the necessary principels to build a professional data visualization. Few Tableau, a lot of theory, but here it's necessary to leverage Tableau in the next courses of the specialization.

I enjoyed the class much, however I would suggest that a little more for feedback could be provided to questions raised by students. Also, PLEASE make the slides available for ALL the lessons.

I enjoyed the second course as part of this five-course data analytics specialism. I am learning that effective data visualisation goes far beyond having a technical competence of Tableau.

The course covers and lays a solid foundation on Visualization profession. The subject matter is good mix of theory and practice. The course content is presented in a very good standard.

Very interesting to progess beyond a pure technical approach.

Then some modules are really to much verbose and may be much more effective with more examples

Some of the quizzes were difficult, but I definitely learned and retained some information from this course. I liked the variety of infor