SL
Jun 1, 2020
This course really changed my perspective in how to create visualization not just using Tableau but in every visualization application. I'm very happy I could take it and learned from it.
JC
Apr 6, 2021
Great coverage of chart types and creating them. Step by step instruction with the "why" element helped me understand how to pursue the chart and understand why I would want to use it.
By GM K
•Aug 20, 2019
Good course
By Nitin K
•Nov 28, 2018
nice course
By Robert D
•Jan 6, 2020
Thank you!
By Gregory R G J
•Dec 30, 2018
Thumbs Up!
By Ahmed T
•May 31, 2017
Amazing :)
By Rupesh K
•Nov 17, 2022
very nice
By MUTHUKRISHNAN P
•Apr 28, 2020
EXCELLENT
By Mr. J
•Oct 1, 2019
Top Notch
By Jaspreet K
•Oct 16, 2017
excellent
By negar h
•Dec 21, 2016
Great one
By Pratik J
•Nov 12, 2022
very imp
By Tarigulu K
•Aug 31, 2021
Amazing.
By Гарамжав
•Oct 31, 2018
Nice one
By Ajith K
•May 18, 2017
good one
By Ari
•Aug 16, 2023
Thanks
By Irvin Y D M
•Apr 29, 2018
Great
By Chandon R
•Sep 8, 2023
100%
By jerald K
•May 10, 2020
Good
By HRISHABH R
•May 1, 2020
good
By Hussain M I
•Jan 13, 2020
good
By rahul k
•Jul 23, 2019
good
By Maninder S
•May 27, 2018
Nice
By Jonathan D P A
•Sep 16, 2022
ok
By Luca N
•May 24, 2017
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).
By kefei m
•Sep 11, 2020
# 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.