關於此課程：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.
此課程適用人群：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.
製作方： 加州大学戴维斯分校
教學方： Govind Acharya, Principal Analyst
Budget and Institutional Analysis
教學方： Hunter Whitney, Sr. Consultant, Author, Instructor
Design Strategy and Data Visualization
| 基本信息 | 課程 2（共 5 門，Data Visualization with Tableau Specialization ） |
| 級別 | 初級 |
| 承諾學習時間 | 4 weeks of study, 5-7 hours/week |
| 語言 | English |
| 如何通過 | 通過所有計分作業以完成課程。 |
| 用戶評分 |
授課大綱
第 1 週
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, 1 個閱讀材料
- 視頻: The Human Brain and Data Visualization
- 視頻: Cognitive vs Perceptual Design Distinction
- Материал для самостоятельного изучения: Tableau Desktop vs. Tableau Public
- Элемент LTI: Getting Your Tableau Desktop License
- 視頻: Introduction of Effective and Ineffective Visuals
- 視頻: Types of Visualizations
- Вопрос для обсуждения: Pros and Cons of Pie Charts
- 視頻: Examples of the Types of Visualizations in Tableau
- 視頻: Practicing Good Ethics in Data Visualization
- 視頻: Ineffective Visuals and How to Improve Them
- Вопрос для обсуждения: Ineffective Visuals (Activity)
已評分: Module 1 Quiz
第 2 週
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
- 視頻: Cognitive Load and Clutter
- Вопрос для обсуждения: Clutter and Clarity
- 視頻: Principles of Visual Perception
- Вопрос для обсуждения: Gestalt Principle (Activity)
- 視頻: Strategic Use of Contrast
- 視頻: Pre-Attentive Attributes of Visualizations
- 視頻: Color as a Pre-Attentive Attribute
- 視頻: De-Cluttering Exercise
- Вопрос для обсуждения: Decluttering a Visual (Activity)
已評分: Module 2 Quiz
第 3 週
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, 2 個閱讀材料
- 視頻: Gestalt Principle: Proximity
- 視頻: Leveraging Pre-Attentive Attributes
- 視頻: Accessible Visualizations
- Материал для самостоятельного изучения: Missed Opportunities and Graphical Fails
- 視頻: Aesthetics
- Материал для самостоятельного изучения: The Challenger: An Information Disaster
- 視頻: Design and Exploratory Analysis Introduction
- 視頻: What is Exploratory and Explanatory Analysis?
- 視頻: Case Study: Anscombe's Quartet
- 視頻: Identifying Outliers
- Вопрос для обсуждения: Explanation of Outliers
- 視頻: Constructing a Control Chart
- Вопрос для обсуждения: Control Charts
已評分: Module 3 Quiz
第 4 週
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, 2 個閱讀材料
- 視頻: Know Your Audience(s)
- 視頻: Design For Purpose
- 視頻: Data, Relationships, and Design
- 視頻: Static Versus Interactive Visualizations
- 視頻: Multiple, Connected View
- 視頻: Language, Labeling, and Scales
- 視頻: Visual Lies and Cognitive Bias
- Материал для самостоятельного изучения: Blogs and Articles About Data Visualization
- Материал для самостоятельного изучения: Selected Books About Data Visualization, Data Analysis, and Perception/Cognition
- 視頻: Final Thoughts
- Вопрос для обсуждения: Reflection
已評分: Designing a Visualization for Your Manager
已評分: Module 4 Quiz
常見問題解答
運作方式
Задания курса
Каждый курс — это интерактивный учебник, который содержит видеоматериалы, тесты и проекты.
Помощь сокурсников
Общайтесь с тысячами других учащихся: обсуждайте идеи, материалы курса и помогайте друг другу осваивать новые понятия.
Сертификаты
Получите документы о прохождении курсов и поделитесь своим успехом с друзьями, коллегами и работодателями.
製作方
加州大学戴维斯分校
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.
價格
| 購買課程 | |
|---|---|
| 訪問課程材料 | 可用 |
| 訪問評分的材料 | 可用 |
| 收到最終成績 | 可用 |
| 獲得可共享的課程證書 | 可用 |
評分和審閱
Very informative and helpful. I really like understanding what I am working with. I'm ready to move on to the next course.
Peer graded questions should be evaluated early
Wonderful course, very informative!
Very good training, all you need at this level.