Essential Design Principles for Tableau

In 2021 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems.This Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journal

Created by: Govind Acharya

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Overall Score : 84 / 100

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Course Description

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.

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Instructor Details

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Govind Acharya is a Principal Analyst in the UC Davis Budget and Institutional Office. In his position, he is responsible for developing and implementing data visualizations on a variety of institutional related data such as classroom utilization, faculty, staff, and students. At Ithaca College, he developed some of the first Tableau dashboards and developed a set of best practices still in use today. He is a graduate of the University of California, San Diego and did his graduate work at San Francisco State University and Cornell University in Economics. He is on the Board of Directors of Amnesty International USA, the world's largest and best known human rights organizations.

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Reviews

4.2

167 total reviews

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By Doug A on 31-Jul-18

Learned a lot about knowing who the audience is (that I am designing a visualization for), also about use-of-color and de-cluttering my visualization.

By Curt W on 8-Dec-18

easier than most courses that I've taken

By Maninder P S on 27-May-18

Nice

By Solhyon B on 23-Mar-18

I learned a lot from this class and am able to apply to my real projects. Thank you a lot!

By Angela K on 28-Sep-17

Great course! I learned things I could imminently apply to my job, I would say that a solid base understanding of Tableau is needed for this class.

By Sy Y W on 13-Dec-17

This is a Very Good Course design and Yes I DO learn great concept on designing a VIZ and analysis as well.

By Thrilok N on 11-Feb-18

Got to learn very non obvious aspects of visualizations.

By Mengli Q on 7-Dec-16

They not only tell you how to do the visualization design but also tell you why (the physiology, the principles). I would highly recommend this class.

By JUAN C R C on 1-Jul-17

Good Course & very valuable for the future

By E. M on 1-Jun-18

Wonderful course, very informative!

By Pavan R on 17-May-18

Learned Essential Design Principles for Tableau and User expectations and UX for data visualization in an effective way. Now i can create good visualizations keeping in mind of cognitive load & clutter along with workin

By Van L on 11-Mar-18

The course uncovers the science of the design for data. It is certainly very helpful for my job where have to present a lot of data in different perspectives for senior management.