good

good

Nice

ok

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.

+ ves: * Govind is a nice instructor with very good presentation skills. * Slides are attached for each video. * Detailed content with helpful articles. - ves: * Quizes ask questions from articles attached in resources which the instructor havn't mention. * Over dose attached articles and reads with repeated topics. * More theoretical knowledge than practical one. * When Govind records on Tableau or Excel to explain practical examples, his voice is ahead of the recorded picture with about 3 seconds.

Overall I give this course 4 stars because of its unique content.

The instructor made a lot of assumptions about our progress and did not give clear instructions for the assignments. Overall, the course was good, but I think that it will be better if the instructors can spend more time on the details and not go with the assumption that all of us do possess some basic data visualization skills. The order of the course is kinda messed up also, not sure if it's on purpose, pls check

Desiree is a really engaging instructor and really seems to teach Tableau. My one issue is that for some of the assignments I have to create accounts on Twitter and Data.world. Also, for the final assignment when reviewing classmate's work, the questions were not on the visualization itself, but more about steps required to post to Twitter.

I learned quite a bit and am eager for the next course.

Great course - though I think Week 4 assignment could have better worded questions for the grading. E.g. is it important to stick to the brief and only use sales data? or does exploring other metrics mean that credit should be given to a more in depth data exploration? Or because this clutters the viz, should that be penalised as the Sales Manager likes simple visualisations?

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 heavy in theory of visual design and the instructors only open Tableau twice in all 4 weeks. While I appreciate the underlying principles and knowledge gained, I truly want to have more exposure to Tableau itself to strengthen skills in that area.

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.

Great course. I would appreciate a slower pace and clearer demonstration of Tableau features. As a beginning learner it is essential to see exactly how to use Tableau. That is difficult if the instructor is moving at a fast pace

This course is rather theoretical one than to practice with Tableau. Nevetherless, it covers really important principles that should be known and used while working with data visualization regardless the tool which is used.

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.

Pros: you learn basic design principles that help you to make visual appealing visualization.

Cons: It felt way too theoretical and high level. It would be nice to do more exercises with Tableau.

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.

More explanation and reasoning on why specific charts should be used during hands on session can help. Especially with control chart, personally found bit difficult. Rest the course was good.

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.

I would give 5 stars overall IF the whole Week 4 Peer Reviewed project would have been better explained. 5 stars for the instructors making Tableau understandable.

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

It is a good course, it invites you to think about the best ways of reporting information and to be aware of audience's needs when presenting information,