課程信息
4.5
647 個評分
105 個審閱
專項課程

第 2 門課程(共 5 門),位於

100% 在線

100% 在線

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
初級

初級

Comfortable working with data and datasets.

完成時間(小時)

完成時間大約為15 小時

建議:4 weeks of study, 5-7 hours/week...
可選語言

英語(English)

字幕:英語(English)...

您將學到的內容有

  • Check

    Examine and improve an ineffective visualization

  • Check

    Examine and improve an ineffective visualization

  • Check

    Apply visualization best practices

  • Check

    Create and design visualizations that work best for the target audience

您將獲得的技能

Data AnalysisTableau SoftwareData VirtualizationData Visualization (DataViz)
專項課程

第 2 門課程(共 5 門),位於

100% 在線

100% 在線

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
初級

初級

Comfortable working with data and datasets.

完成時間(小時)

完成時間大約為15 小時

建議:4 weeks of study, 5-7 hours/week...
可選語言

英語(English)

字幕:英語(English)...

教學大綱 - 您將從這門課程中學到什麼

1
完成時間(小時)
完成時間為 3 小時

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....
Reading
8 個視頻(共 50 分鐘), 1 個閱讀材料, 2 個測驗
Video8 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
Reading1 個閱讀材料
Tableau Desktop vs. Tableau Public1分鐘
Quiz1 個練習
Module 1 Quiz30分鐘
2
完成時間(小時)
完成時間為 3 小時

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....
Reading
7 個視頻(共 47 分鐘), 1 個測驗
Video7 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
Quiz1 個練習
Module 2 Quiz45分鐘
3
完成時間(小時)
完成時間為 2 小時

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....
Reading
10 個視頻(共 70 分鐘), 2 個閱讀材料, 1 個測驗
Video10 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
Reading2 個閱讀材料
Missed Opportunities and Graphical Fails10分鐘
The Challenger: An Information Disaster10分鐘
Quiz1 個練習
Module 3 Quiz28分鐘
4
完成時間(小時)
完成時間為 5 小時

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. ...
Reading
9 個視頻(共 54 分鐘), 2 個閱讀材料, 2 個測驗
Video9 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
Reading2 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
Quiz1 個練習
Module 4 Quiz28分鐘
4.5
105 個審閱Chevron Right

熱門審閱

創建者 VLMar 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 AHMay 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

Avatar

Govind Acharya

Principal Analyst
Budget and Institutional Analysis
Avatar

Hunter Whitney

Sr. Consultant, Author, Instructor
Design 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....
Data Visualization with Tableau

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