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学生对 加州大学戴维斯分校 提供的 Essential Design Principles for Tableau 的评价和反馈

1,790 个评分
307 条评论


In this course, you will analyze and apply essential design principles to your Tableau visualizations. This course assumes you understand the tools within Tableau and have some knowledge of the fundamental concepts of data visualization. You will define and examine the similarities and differences of exploratory and explanatory analysis as well as begin to ask the right questions about what’s needed in a visualization. You will assess how data and design work together, including how to choose the appropriate visual representation for your data, and the difference between effective and ineffective visuals. You will apply effective best practice design principles to your data visualizations and be able to illustrate examples of strategic use of contrast to highlight important elements. You will evaluate pre-attentive attributes and why they are important in visualizations. You will exam the importance of using the "right" amount of color and in the right place and be able to apply design principles to de-clutter your data visualization....



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.


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.


151 - Essential Design Principles for Tableau 的 175 个评论(共 308 个)

创建者 Guillermo O

Dec 28, 2020

great course

创建者 Mahima s

Jul 10, 2019

nice course.

创建者 René G B

Apr 1, 2019

Great course

创建者 Juan V

Sep 19, 2018

Great course

创建者 GM K

Aug 20, 2019

Good course

创建者 Nitin K

Nov 28, 2018

nice course

创建者 Robert D

Jan 6, 2020

Thank you!

创建者 Gregory R G J

Dec 30, 2018

Thumbs Up!

创建者 Ahmed T

May 31, 2017

Amazing :)


Apr 28, 2020


创建者 Mr. J

Oct 1, 2019

Top Notch

创建者 Jaspreet K

Oct 16, 2017


创建者 negar h

Dec 21, 2016

Great one

创建者 Tarigulu K

Aug 31, 2021


创建者 Гарамжав

Oct 31, 2018

Nice one

创建者 Ajith K

May 18, 2017

good one

创建者 Irvin Y D M

Apr 29, 2018


创建者 Jerald K K l

May 10, 2020



May 1, 2020


创建者 Hussain M I

Jan 13, 2020


创建者 rahul k

Jul 23, 2019


创建者 Maninder P S

May 27, 2018


创建者 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).

创建者 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.

创建者 Mohamed M M

Jan 9, 2022

+ 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.