本課程是 Data Visualization with Tableau 專項課程 專項課程的一部分
Essential Design Principles for Tableau
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課程信息
4.5
610 ratings
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.
您將學到的內容有
- Apply essential design principles to your Tableau visualizations
- Choose the appropriate visual representation for your data
- Explain the similarities and differences of exploratory and explanatory analysis
- Make strategic use of contrast to highlight important insights
您將獲得的技能
Data AnalysisTableau SoftwareData VirtualizationData Visualization (DataViz)
教學大綱 - 您將從這門課程中學到什麼
1
章節
Getting Started in Effective and Ineffective Visuals
Welcome to this first module where we are going to start you off with background information about how the human brain perceives the world and then you will discover effective and ineffective visuals. By the end of this module, you will be able to recognize how the brain relates to visual design. You will know the difference between cognitive versus perceptual design. You will learn the various visualization options offered by Tableau and some of their advantages and disadvantages. You will discuss why how good ethical practices play in designing visualizations. You will also start to examine ineffective visualizations and learn how to improve them.
8 個視頻（共 50 分鐘）, 1 個閱讀材料, 2 個測驗
8 個視頻
The Human Brain and Data Visualization5分鐘
Cognitive vs Perceptual Design Distinction4分鐘
Introduction of Effective and Ineffective Visuals1分鐘
Types of Visualizations5分鐘
Examples of the Types of Visualizations in Tableau12分鐘
Practicing Good Ethics in Data Visualization9分鐘
Ineffective Visuals and How to Improve Them7分鐘
1 個閱讀材料
Tableau Desktop vs. Tableau Public1分鐘
1 個練習
Module 1 Quiz30分鐘
2
章節
Visual Perception and Cognitive Load
Welcome to this second module. This module will explore specific data visualization concepts that apply the concepts you learned about how the human brain works from the last module. In this module, you will be able to define cognitive load and what clutter means from a visualization perspective. You will be able to visually illustrate the principles of visual perception and use contrast to enhance your visualizations. You will be able to define and use pre-attentive attributes like color to make effective visualizations.
7 個視頻（共 47 分鐘）, 1 個測驗
7 個視頻
Cognitive Load and Clutter8分鐘
Principles of Visual Perception4分鐘
Strategic Use of Contrast10分鐘
Pre-Attentive Attributes of Visualizations4分鐘
Color as a Pre-Attentive Attribute9分鐘
De-Cluttering Exercise7分鐘
1 個練習
Module 2 Quiz45分鐘
3
章節
Design Best Practices and Exploratory Analysis
In this module, we revisit some of the concepts introduced from the previous module. You will be able to apply Gestalt Principles and leverage pre-attentive attributes in your visualizations. You will examine the role of accessibility and aesthetics play in your creations. Also, you will be able to define the ideas of exploratory and explanatory analysis and be able to normalize your data and identify outliers. Finally, you will be introduced to a challenging concept and construct a control chart to set you up to perform more advanced exploratory analysis.
10 個視頻（共 70 分鐘）, 2 個閱讀材料, 1 個測驗
10 個視頻
Gestalt Principle: Proximity6分鐘
Leveraging Pre-Attentive Attributes10分鐘
Accessible Visualizations11分鐘
Aesthetics7分鐘
Design and Exploratory Analysis Introduction1分鐘
What is Exploratory and Explanatory Analysis?2分鐘
Case Study: Anscombe's Quartet10分鐘
Identifying Outliers8分鐘
Constructing a Control Chart8分鐘
2 個閱讀材料
Missed Opportunities and Graphical Fails10分鐘
The Challenger: An Information Disaster10分鐘
1 個練習
Module 3 Quiz28分鐘
4
章節
Design for Understanding
Making sense of large, multi-dimensional data sets can be a challenge for anyone. Your task as a designer is to make good decisions about encoding, arranging, and presenting data to reveal meaningful patterns and stories for your audiences. After completing this module, you will be able to design your visualizations for a target audience and with purpose. You will be able to identify the connection to between data, relationships and good visual design. You will implement additional design tools and tips into your visualizations.
9 個視頻（共 54 分鐘）, 2 個閱讀材料, 2 個測驗
9 個視頻
Know Your Audience(s)5分鐘
Design For Purpose7分鐘
Data, Relationships, and Design5分鐘
Static Versus Interactive Visualizations8分鐘
Multiple, Connected View4分鐘
Language, Labeling, and Scales5分鐘
Visual Lies and Cognitive Bias11分鐘
Final Thoughts1分鐘
2 個閱讀材料
Blogs and Articles About Data Visualization分鐘
Selected Books About Data Visualization, Data Analysis, and Perception/Cognition30分鐘
1 個練習
Module 4 Quiz28分鐘
4.5
熱門審閱
創建者 VL•Mar 11th 2018
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.
創建者 AH•May 30th 2017
It is an excellent course!!! very well designed and very proficient talk on most difficult and most important skills related to data visualization....Enjoyed it sooo much!!!
講師
Govind Acharya
Principal AnalystBudget and Institutional Analysis
Hunter Whitney
Sr. Consultant, Author, InstructorDesign Strategy and Data Visualization
關於 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.
關於 Data Visualization with Tableau 專項課程
In 2020 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 journalistic examples from leading media companies.
By the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company.
常見問題
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
Is financial aid available?
還有其他問題嗎？請訪問 學生幫助中心。
