Who is this class for: This course is primarily aimed at individuals with some fundamental data visualization knowledge, who are familiar with the basics of Tableau, and want to begin applying key design principles to their visualizations. We consider this course still meant for the beginner who wants to gain experience in presenting data visually, but also it is appropriate for those who can analyze data and want to gain more exposure to visualization design concepts.


Created by:  University of California, Davis

  • Govind Acharya

    Taught by:  Govind Acharya, Principal Analyst

    Budget and Institutional Analysis

  • Hunter Whitney

    Taught by:  Hunter Whitney, Sr. Consultant, Author, Instructor

    Design Strategy and Data Visualization
Basic Info
LevelBeginner
Commitment4 weeks of study, 5-7 hours/week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.3 stars
Average User Rating 4.3See what learners said
Syllabus

FAQs
How It Works
Coursework
Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

Help from Your Peers
Help from Your Peers

Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.

Certificates
Certificates

Earn official recognition for your work, and share your success with friends, colleagues, and employers.

Creators
University of California, Davis
UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact.
Pricing
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Access to graded materials

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Receive a final grade

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Earn a shareable Course Certificate

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Ratings and Reviews
Rated 4.3 out of 5 of 143 ratings

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 one

it was effective

Great class, it would be nice to have more hands on work with Tableau throughout the course and not just at the end.